chuk-mcp

A lean, production-minded Python implementation of the Model Context Protocol (MCP).

Brings first-class MCP protocol support to Python — lightweight, async, and spec-accurate from day one.

Requires Python 3.11+

chuk-mcp gives you a clean, typed, transport-agnostic implementation for both MCP clients and servers. It focuses on the protocol surface (messages, types, versioning, transports) and leaves orchestration, UIs, and agent frameworks to other layers.

✳️ What this is: a protocol compliance library with ergonomic helpers for clients and servers.

⛔ What this isn't: a chatbot runtime, workflow engine, or an opinionated application framework.

Architecture: Where chuk-mcp Fits

Stack Overview

┌──────────────────────────────────────┐
│   Your AI Application                │
│   (Claude, GPT, custom agents)       │
└────────────┬─────────────────────────┘
             │ MCP Protocol
             ▼
┌──────────────────────────────────────┐
│   chuk-mcp Client                    │  ← You are here
│   • Protocol compliance              │
│   • Transport (stdio/Streamable HTTP)│
│   • Type-safe messages               │
│   • Capability negotiation           │
└────────────┬─────────────────────────┘
             │ MCP Protocol
             ▼
┌──────────────────────────────────────┐
│   chuk-mcp Server (optional)         │
│   • Protocol handlers                │
│   • Tool/Resource registration       │
│   • Session management               │
└────────────┬─────────────────────────┘
             │
             ▼
┌──────────────────────────────────────┐
│   Your Tools & Resources             │
│   (databases, APIs, files, etc)      │
└──────────────────────────────────────┘

chuk-mcp provides the protocol layer — connect AI applications to tools and data sources using the standard MCP protocol.

Internal Architecture

The library itself is organized in layers that you can use at different levels of abstraction:

┌─────────────────────────────────────────┐
│              CLI & Demo Layer           │  __main__.py, demos/
├─────────────────────────────────────────┤
│             Client/Server API           │  High-level abstractions
├─────────────────────────────────────────┤
│            Protocol Layer               │  Messages, types, features
├─────────────────────────────────────────┤
│            Transport Layer              │  stdio, Streamable HTTP
├─────────────────────────────────────────┤
│             Base Layer                  │  Pydantic fallback, config
└─────────────────────────────────────────┘

Layer Details:

Layer	Purpose	Usage
CLI & Demo	Built-in utilities and demonstrations	Optional — use protocol layer directly
Client/Server API	High-level abstractions for client-server interactions	Optional — can use protocol layer directly
Protocol Layer	Message definitions, type-safe request/response handling, capability negotiation	Core — implements MCP spec
Transport Layer	Pluggable transport implementations (stdio, Streamable HTTP)	Choose based on deployment
Base Layer	Pydantic fallback, shared config, type adapters	Foundation — automatic

Most users work with the Protocol Layer (send_* functions) and Transport Layer (stdio/HTTP clients), optionally using the Client/Server API for higher-level abstractions.

Why chuk‑mcp?
At a Glance
Install
Quick Start
Core Concepts
Transports
Configuration Examples
Examples & Feature Demonstrations
Versioning & Compatibility
Comparison with Official MCP SDK
Design Goals & Non‑Goals
FAQ
Contributing
Feature Showcase
Ecosystem
License

Why chuk-mcp?

Protocol-first: Focuses on MCP messages, types, and capability negotiation — spec.modelcontextprotocol.io
Client + Server: Full support for building both MCP clients and servers
Typed: Full type hints; optional Pydantic models when available
Transport-agnostic: stdio by default, Streamable HTTP (NDJSON) for remote servers, easily extensible
Async-first: Built on AnyIO; integrate with anyio.run(...) or your existing loop
Small & focused: No heavy orchestration or agent assumptions
Production-minded: Clear errors, retries (where appropriate), structured logging hooks

At a Glance

Try it now:

# Install an example MCP server
uv tool install mcp-server-sqlite

# Run the quick-start example
uv run python examples/quickstart_sqlite.py

Hello World

A minimal working MCP server in ~10 lines:

# hello_mcp.py
import anyio
from chuk_mcp.server import MCPServer, run_stdio_server
from chuk_mcp.protocol.types import ServerCapabilities, ToolCapabilities

async def main():
    server = MCPServer("hello", "1.0", ServerCapabilities(tools=ToolCapabilities()))

    async def handle_tools_list(message, session_id):
        return server.protocol_handler.create_response(
            message.id,
            {"tools": [{"name": "hello", "description": "Say hi", "inputSchema": {"type": "object"}}]}
        ), None

    server.protocol_handler.register_method("tools/list", handle_tools_list)
    await run_stdio_server(server)

anyio.run(main)

Run it: uv run python hello_mcp.py — or connect any MCP client via stdio!

Stdio (local processes):

# Connect to an MCP server via stdio and list tools
import anyio
from chuk_mcp import StdioServerParameters, stdio_client
from chuk_mcp.protocol.messages import send_initialize
from chuk_mcp.protocol.messages.tools import send_tools_list

async def main():
    params = StdioServerParameters(command="uvx", args=["mcp-server-sqlite", "--db-path", "example.db"])
    async with stdio_client(params) as (read, write):
        init = await send_initialize(read, write)
        tools = await send_tools_list(read, write)
        print("Server:", init.serverInfo.name)
        print("Tools:", [t.name for t in tools.tools])

anyio.run(main)

Streamable HTTP (remote servers):

# Local dev (plain HTTP)
import anyio
from chuk_mcp.transports.http import http_client, HttpClientParameters
from chuk_mcp.protocol.messages import send_initialize

async def main():
    params = HttpClientParameters(
        url="http://localhost:8989/mcp",
        timeout_s=30,
        headers={"Authorization": "Bearer <token>"}
    )
    async with http_client(params) as (read, write):
        init = await send_initialize(read, write)
        print("Connected:", init.serverInfo.name)

anyio.run(main)

# Production (TLS)
async def main_secure():
    params = HttpClientParameters(
        url="https://mcp.example.com/mcp",
        timeout_s=30,
        headers={"Authorization": "Bearer <token>"}
    )
    async with http_client(params) as (read, write):
        init = await send_initialize(read, write)
        print("Connected:", init.serverInfo.name)

anyio.run(main_secure)

Install

With `uv` (recommended)

uv add chuk-mcp                      # core (Python 3.11+ required)
uv add "chuk-mcp[pydantic]"          # add typed Pydantic models (Pydantic v2 only)
uv add "chuk-mcp[http]"              # add Streamable HTTP transport extras
uv add "chuk-mcp[pydantic,http]"     # full install with all features

With `pip`

pip install "chuk-mcp"
pip install "chuk-mcp[pydantic]"         # Pydantic v2 only
pip install "chuk-mcp[http]"             # httpx>=0.28 for Streamable HTTP
pip install "chuk-mcp[pydantic,http]"    # full install

(Requires pydantic>=2.11.1,<3 and httpx>=0.28.1,<1 for [pydantic] and [http] extras.)

Python versions: Requires Python 3.11+; see badge for tested versions.

Verify:

python -c "import chuk_mcp; print('✅ chuk-mcp ready')"

Quick Start

Minimal initialize (inline demo server)

import anyio
from chuk_mcp import StdioServerParameters, stdio_client
from chuk_mcp.protocol.messages import send_initialize

async def main():
    params = StdioServerParameters(
        command="python",
        args=["-c", "import json,sys; req=json.loads(sys.stdin.readline()); print(json.dumps({\"id\":req['id'],\"result\":{\"serverInfo\":{\"name\":\"Demo\",\"version\":\"1.0\"},\"protocolVersion\":\"<negotiated-by-client>\",\"capabilities\":{}}}))"]
    )
    async with stdio_client(params) as (read, write):
        res = await send_initialize(read, write)
        print("Connected:", res.serverInfo.name)

anyio.run(main)

Note: Protocol version is negotiated during initialize; avoid hard-coding.

Windows users: Windows cmd/PowerShell may buffer stdio differently. Use uv run or WSL for local development if you encounter deadlocks.

Run it:

uv run python examples/quickstart_minimal.py

Real server (SQLite example with capability check)

import anyio
from chuk_mcp import StdioServerParameters, stdio_client
from chuk_mcp.protocol.messages import send_initialize
from chuk_mcp.protocol.messages.tools import send_tools_call, send_tools_list

async def main():
    params = StdioServerParameters(command="uvx", args=["mcp-server-sqlite", "--db-path", "example.db"])
    async with stdio_client(params) as (read, write):
        # Initialize and check capabilities
        init = await send_initialize(read, write)

        # Capability-gated behavior
        if hasattr(init.capabilities, 'tools'):
            tools = await send_tools_list(read, write)
            print("Tools:", [t.name for t in tools.tools])
            result = await send_tools_call(read, write, name="read_query", arguments={"query": "SELECT 1 as x"})
            print("Result:", result.content)
        else:
            print("Server does not support tools")

anyio.run(main)

Run it:

# Install SQLite server
uv tool install mcp-server-sqlite

# Run example
uv run python examples/quickstart_sqlite.py

Minimal server (protocol layer)

Build your own MCP server using the same protocol layer. See examples/e2e_*_server.py for complete working servers:

# Conceptual example — for a runnable server, see examples/e2e_*_server.py
import anyio
from chuk_mcp.server import MCPServer, run_stdio_server
from chuk_mcp.protocol.types import ServerCapabilities, ToolCapabilities

async def main():
    server = MCPServer(
        name="demo-server",
        version="0.1.0",
        capabilities=ServerCapabilities(tools=ToolCapabilities())
    )

    # Register handlers using the protocol layer
    async def handle_tools_list(message, session_id):
        # Return (response, notifications). Second value is reserved for
        # optional out-of-band notifications; use None if not sending any.
        return server.protocol_handler.create_response(
            message.id,
            {"tools": [{
                "name": "greet",
                "description": "Say hello",
                "inputSchema": {
                    "type": "object",
                    "properties": {"name": {"type": "string"}},
                    "required": ["name"]
                }
            }]}
        ), None

    server.protocol_handler.register_method("tools/list", handle_tools_list)
    await run_stdio_server(server)

anyio.run(main)

Pair it with a client:

# See examples/ for complete client-server pairs
uv run python examples/e2e_tools_client.py

The examples above use stdio. Swap the transport to talk to remote servers (see Transports).

Core Concepts

Tools

Discover and call server-exposed functions.

from chuk_mcp.protocol.messages.tools import send_tools_list, send_tools_call

# list
tools = await send_tools_list(read, write)
for t in tools.tools:
    print(t.name, "-", t.description)

# call
call = await send_tools_call(read, write, name="greet", arguments={"name": "World"})
print(call.content)

See full example: examples/e2e_tools_client.py

Resources

List/read (and optionally subscribe to) data sources.

from chuk_mcp.protocol.messages.resources import send_resources_list, send_resources_read

resources = await send_resources_list(read, write)
if resources.resources:
    uri = resources.resources[0].uri
    data = await send_resources_read(read, write, uri)
    print(data.contents)

See full examples:

Prompts

Parameterized, reusable prompt templates.

from chuk_mcp.protocol.messages.prompts import send_prompts_list, send_prompts_get

prompts = await send_prompts_list(read, write)
if prompts.prompts:
    got = await send_prompts_get(read, write, name=prompts.prompts[0].name, arguments={})
    for m in got.messages:
        print(m.role, m.content)

See full example: examples/e2e_prompts_client.py

Roots (optional)

Advertise directories the client authorizes the server to access.

from chuk_mcp.protocol.messages.roots import send_roots_list
roots = await send_roots_list(read, write)  # if supported

See full example: examples/e2e_roots_client.py

Sampling & Completion (optional)

Some servers can ask the client to sample text or provide completion for arguments. These are opt-in and capability-gated.

See full examples:

Transports

chuk-mcp cleanly separates protocol from transport, so you can use the same protocol handlers with any transport layer:

Stdio — ideal for local child-process servers
Streamable HTTP — speak to remote servers over HTTP (chunked/NDJSON)
Extensible — implement your own transport by adapting the simple (read, write) async interface

Note: chuk-mcp is fully async (AnyIO). Use anyio.run(...) or integrate into your event loop.

Note: Protocol capabilities are negotiated during initialize, independent of transport. You choose the transport (stdio or Streamable HTTP) based on deployment/runtime needs.

Thread-safety: Client instances are not thread-safe across event loops. See FAQ for details.

Streamable HTTP uses chunked NDJSON. Configure HttpClientParameters(timeout_s=30, headers={"Authorization": "Bearer ..."}). Clients stream NDJSON with backpressure. For large payloads, prefer NDJSON chunks over base64 blobs to avoid memory spikes.

Framing: Streamable HTTP uses NDJSON (one JSON object per line). Servers should flush after each object; proxies must not buffer indefinitely.

Compression: Enable gzip at the proxy to reduce large content streams. MCP payloads compress well.

Retries: chuk-mcp does not auto-retry protocol calls, even for idempotent reads. For retry logic, error handling, and rate limiting, use chuk-tool-processor which provides composable wrappers for caching, retries with exponential backoff, and rate limiting.

Security: When exposing Streamable HTTP, terminate TLS at a proxy and require auth (e.g., bearer tokens). For private CAs, configure your client's trust store (e.g., SSL_CERT_FILE=/path/ca.pem, REQUESTS_CA_BUNDLE, or SSL_CERT_DIR). The protocol layer is transport-agnostic and does not impose auth.

Configuration Examples

JSON config (client decides how to spawn/connect)

{
  "mcpServers": {
    "sqlite": {
      "command": "uvx",
      "args": ["mcp-server-sqlite", "--db-path", "database.db"]
    },
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "."]
    }
  }
}

Loading config in code

from chuk_mcp import StdioServerParameters, stdio_client
from chuk_mcp.protocol.messages import send_initialize

params = StdioServerParameters(command="uvx", args=["mcp-server-sqlite", "--db-path", "database.db"])
async with stdio_client(params) as (read, write):
    init = await send_initialize(read, write)
    print("Connected to", init.serverInfo.name)

Examples & Feature Demonstrations

The examples/ directory contains comprehensive, working demonstrations of all MCP features:

Quick Start Examples

quickstart_minimal.py — Minimal MCP client setup
quickstart_sqlite.py — Working with SQLite MCP server
quickstart_resources.py — Accessing server resources
quickstart_complete.py — Multi-feature demo

End-to-End (E2E) Examples

Complete client-server pairs built with pure chuk-mcp, demonstrating both client and server implementation for each MCP feature:

Core Features:

e2e_tools_client.py — Tool registration, discovery, and invocation
e2e_resources_client.py — Resource listing and reading
e2e_prompts_client.py — Reusable prompt templates

Advanced Features:

e2e_roots_client.py — File system root management
e2e_sampling_client.py — Server-initiated LLM requests
e2e_completion_client.py — Autocomplete functionality
e2e_subscriptions_client.py — Resource change notifications
e2e_cancellation_client.py — Operation cancellation
e2e_progress_client.py — Progress tracking
e2e_logging_client.py — Log message handling
e2e_elicitation_client.py — User input requests
e2e_annotations_client.py — Content metadata

Running Examples:

Many E2E examples are self-contained with their own protocol-level server built using pure chuk-mcp. Where relevant, the client starts the corresponding demo server:

# Run any example directly - the client will start its server
uv run python examples/e2e_tools_client.py

# Test all E2E examples
for example in examples/e2e_*_client.py; do
    echo "Testing $example"
    uv run python "$example" || exit 1
done

Note: Where relevant, examples include a corresponding e2e_*_server.py showing a minimal server built with the same protocol layer.

See examples/README.md for detailed documentation of all examples.

Versioning & Compatibility

chuk-mcp follows the MCP spec revisions and negotiates capabilities at initialize.
Newer features are capability-gated and degrade gracefully with older servers.
Optional typing/validation uses Pydantic if available, otherwise a lightweight fallback.

📋 Supported Protocol Versions (as of v0.1.x)

Version	Status	Support Policy
`2025-06-18`	Latest	Primary support, all features
`2025-03-26`	Stable	Full compatibility, maintained
`2024-11-05`	Legacy	Backward compatibility, deprecation TBD

Tested Platforms: Linux, macOS, Windows (Python 3.11+)

Support Policy: Latest and Stable versions receive full support. Legacy version support will be maintained until 2026-Q2, after which it may be deprecated. See changelog for migration guidance.

📊 Client Feature Support Matrix

Feature Category	2024-11-05	2025-03-26	2025-06-18	Implementation Status
Core Operations
Tools (list/call)	✅	✅	✅	✅ Complete
Resources (list/read/subscribe)	✅	✅	✅	✅ Complete
Prompts (list/get)	✅	✅	✅	✅ Complete
Transport
Stdio	✅	✅	✅	✅ Complete
Streamable HTTP	–	✅	✅	✅ Complete
Advanced Features
Sampling	✅	✅	✅	✅ Complete
Completion	✅	✅	✅	✅ Complete
Roots	✅	✅	✅	✅ Complete
Elicitation	❌	❌	✅	✅ Complete
Quality Features
Progress Tracking	✅	✅	✅	✅ Complete
Cancellation	✅	✅	✅	✅ Complete
Notifications	✅	✅	✅	✅ Complete
Logging	✅	✅	✅	✅ Complete
Annotations	✅	✅	✅	✅ Complete

Features degrade gracefully when interacting with older servers.

See the changelog for exact spec versions supported and any deprecations.

Versioning Policy

This project follows Semantic Versioning for public APIs under chuk_mcp.*:

Major (X.0.0): Breaking changes to public APIs
Minor (0.X.0): New features, backward compatible
Patch (0.0.X): Bug fixes, backward compatible

Comparison with Official MCP SDK

Feature	chuk-mcp	Official MCP Python SDK
Philosophy	Protocol compliance library	Full framework
Scope	Client + Server, protocol-focused	Client + Server framework
Typing	Optional Pydantic (fallback available)	Pydantic required
Transports	stdio, SSE, Streamable HTTP (pluggable)	stdio, SSE, Streamable HTTP
Browser/WASM	Pyodide-compatible	Varies / not a primary target
Dependencies	Minimal (anyio core)	Heavier stack
Server Framework	Lightweight helpers	Opinionated server structure
API Style	Explicit send_* functions	Higher-level abstractions
Target Use Case	Protocol integration, custom clients/servers	Full MCP applications
Orchestration	External (you choose)	Built-in patterns
Learning Curve	Low (protocol-level)	Medium (framework concepts)

When to choose chuk-mcp:

Building custom MCP clients or servers
Need transport flexibility (Streamable HTTP)
Want minimal dependencies
Prefer protocol-level control
Running in constrained environments (WASM, edge functions)
Need to integrate MCP into existing applications

Real-world example: chuk-mcp-server uses chuk-mcp as its protocol compliance layer

When to choose official SDK:

Building full MCP servers quickly with opinionated patterns
Want framework abstractions out of the box
Primarily using stdio transport
Prefer higher-level APIs

Design Goals & Non-Goals

Goals

Be the simplest way to implement MCP in Python (client or server)
Keep the API small, explicit, and typed
Make transports pluggable and protocol logic reusable
Support both client and server use cases with lightweight abstractions

Non‑Goals

Competing with full agent frameworks / IDEs
Baking in opinionated application structure or workflow engines
Shipping heavyweight dependencies by default
Providing high-level orchestration (that's your application layer)

FAQ

Q: Does this include a server framework?

A: Yes, at the protocol layer. chuk-mcp provides typed messages and helpers usable on both clients and servers, but it's not an opinionated server framework—you bring your own app structure/orchestration.

Q: Is Pydantic required?

A: No. If installed (Pydantic v2 only), you'll get richer types and validation. If not, the library uses a lightweight fallback with dict-based models.

Q: Which transport should I use?

A: Use stdio for local dev and child processes. Use Streamable HTTP for remote servers behind TLS with auth.

Q: Where can I find more examples?

A: See the examples/ directory for comprehensive demonstrations of all MCP features, including both quick-start examples and full end-to-end client-server pairs. For a real-world server implementation, see chuk-mcp-server which uses chuk-mcp as its protocol library.

Q: How do I test my implementation?

A: Run make test or uv run pytest to run the test suite. Use make examples (if present) to test all E2E examples. See the Contributing section for details.

Q: Is this production-ready?

A: Yes. chuk-mcp is used in production environments. It includes error handling, type safety, and follows MCP protocol specifications. See the test coverage reports for confidence metrics.

Q: Is it thread-safe?

A: Client instances are not thread-safe across event loops. Share a client within a single async loop; use separate instances per loop/thread.

Q: What's not included?

A: Auth, TLS termination, persistence, and orchestration are app concerns—bring your own. chuk-mcp provides protocol compliance only. For browser/WASM frontends with CORS and TLS, terminate TLS at the proxy and set Access-Control-Allow-Origin to your frontend origin; avoid * with credentials.

Q: How do I add retry logic and rate limiting?

A: Use chuk-tool-processor which provides composable wrappers for retries (with exponential backoff), rate limiting, and caching. chuk-mcp focuses on protocol compliance; chuk-tool-processor handles execution concerns.

Q: What are common errors and how do I handle them?

A: Common exceptions and recommended actions:

Error Type	JSON-RPC Code	Action
Parse error	-32700	Fix JSON syntax in request
Invalid request	-32600	Check required fields (jsonrpc, method, id)
Method not found	-32601	Verify method name and server capabilities
Invalid params	-32602	Validate parameter types and required fields
Internal error	-32603	Check server logs, retry operation
Request cancelled	-32800	Handle cancellation gracefully
Content too large	-32801	Reduce payload size or use streaming
Connection/Transport	varies	Check network, verify server is running

Note: When using HTTP-based transports (SSE or Streamable HTTP), transport-layer errors (network failures, TLS issues, authentication problems) will appear as HTTP status codes before reaching the MCP protocol layer. However, once the transport is established, all MCP protocol errors follow the JSON-RPC error code system shown above.

All protocol errors inherit from base exception classes. See examples for error handling patterns.

Contributing

PRs welcome! Please:

Open a small, focused issue first (optional but helpful).
Add tests and type hints for new functionality.
Keep public APIs minimal and consistent.
Run the linters and test suite before submitting.

PRs must maintain ≥85% coverage; enforced in CI along with mypy type checks and ruff linting.

# Clone and setup
git clone https://github.com/chrishayuk/chuk-mcp
cd chuk-mcp
uv sync

# Install pre-commit hooks (optional)
pre-commit install

# Run examples
uv run python examples/quickstart_minimal.py

# Run tests
uv run pytest

# Type checking
uv run mypy src/chuk_mcp

# Or use the Makefile (if present)
make test
make typecheck
make lint
make examples

Bug reports / feature requests: Issue templates available in .github/

Code of Conduct: Contributors expected to follow the Contributor Covenant

Security

If you believe you've found a security issue, please report it by opening a security advisory in the GitHub repository rather than opening a public issue.

Feature Showcase

This section provides detailed code snippets demonstrating MCP features. All examples are production-ready with full type safety.

🔧 Tools — Calling Functions

Tools are functions that AI can invoke:

from chuk_mcp.protocol.messages.tools import send_tools_list, send_tools_call
from chuk_mcp.protocol.types.content import parse_content, TextContent

# List all available tools — returns typed ListToolsResult
tools_result = await send_tools_list(read, write)
print(f"📋 Available tools: {len(tools_result.tools)}")

for tool in tools_result.tools:
    print(f"  • {tool.name}: {tool.description}")

# Call a tool — returns typed ToolResult
result = await send_tools_call(
    read, write,
    name="greet",
    arguments={"name": "World"}
)

# Parse content with type safety
content = parse_content(result.content[0])
assert isinstance(content, TextContent)
print(f"✅ Result: {content.text}")

Full example: uv run python examples/e2e_tools_client.py

📄 Resources — Reading Data

Resources provide access to data sources (files, databases, APIs):

from chuk_mcp.protocol.messages.resources import send_resources_list, send_resources_read

# List available resources — returns typed ListResourcesResult
resources_result = await send_resources_list(read, write)
print(f"📚 Found {len(resources_result.resources)} resources")

for resource in resources_result.resources:
    print(f"  • {resource.name}")
    print(f"    URI: {resource.uri}")

# Read a resource — returns typed ReadResourceResult
if resources_result.resources:
    uri = resources_result.resources[0].uri
    read_result = await send_resources_read(read, write, uri)

    for content in read_result.contents:
        if hasattr(content, 'text'):
            print(f"📖 Content: {content.text[:200]}...")

Full example: uv run python examples/e2e_resources_client.py

📡 Resource Subscriptions — Live Updates

Subscribe to resources for real-time change notifications:

from chuk_mcp.protocol.messages.resources import (
    send_resources_subscribe,
    send_resources_unsubscribe
)

# Subscribe to a resource
uri = "file:///logs/app.log"
success = await send_resources_subscribe(read, write, uri)

if success:
    print(f"✅ Subscribed to {uri}")
    print("📡 Listening for changes...")

    # In a real app, handle notifications in a loop
    # Notifications arrive as messages from the server

    # Unsubscribe when done
    await send_resources_unsubscribe(read, write, uri)
    print("🔕 Unsubscribed")

Full example: uv run python examples/e2e_subscriptions_client.py

💬 Prompts — Template Management

Prompts are reusable templates with parameters:

from chuk_mcp.protocol.messages.prompts import send_prompts_list, send_prompts_get

# List available prompts — returns typed ListPromptsResult
prompts_result = await send_prompts_list(read, write)
print(f"💬 Available prompts: {len(prompts_result.prompts)}")

for prompt in prompts_result.prompts:
    print(f"  • {prompt.name}: {prompt.description}")
    if hasattr(prompt, 'arguments') and prompt.arguments:
        args = [a.name for a in prompt.arguments]
        print(f"    Arguments: {', '.join(args)}")

# Get a prompt with arguments — returns typed GetPromptResult
prompt_result = await send_prompts_get(
    read, write,
    name="code_review",
    arguments={"file": "main.py", "language": "python"}
)

# Use the formatted messages
for message in prompt_result.messages:
    print(f"🤖 {message.role}: {message.content}")

Full example: uv run python examples/e2e_prompts_client.py

🎯 Sampling — AI Content Generation

Let servers request AI to generate content on their behalf (requires user approval):

from chuk_mcp.protocol.messages.sampling import sample_text

# Check if server supports sampling
if hasattr(init_result.capabilities, 'sampling'):
    print("✅ Server supports sampling")

    # Server requests AI to generate content using helper
    result = await sample_text(
        read, write,
        prompt="Explain quantum computing in simple terms",
        max_tokens=1000,
        model_hint="claude",
        temperature=0.7
    )

    # Access typed response
    if hasattr(result.content, 'text'):
        print(f"🤖 AI Generated: {result.content.text}")

    print(f"📊 Model: {result.model}")
    print(f"🔢 Stop Reason: {result.stopReason or 'N/A'}")

Use Case: Servers can use sampling to generate code, documentation, or analysis based on data they have access to.

Full example: uv run python examples/e2e_sampling_client.py

📁 Roots — Directory Access Control

Roots define which directories the client allows servers to access.

from chuk_mcp.protocol.messages.roots import (
    send_roots_list,
    send_roots_list_changed_notification
)

# Check if server supports roots
if hasattr(init_result.capabilities, 'roots'):
    print("✅ Server supports roots capability")

    # List current roots — returns typed ListRootsResult
    roots_result = await send_roots_list(read, write)

    print(f"📁 Available roots: {len(roots_result.roots)}")
    for root in roots_result.roots:
        print(f"  • {root.name}: {root.uri}")

    # Notify server when roots change
    await send_roots_list_changed_notification(write)
    print("📢 Notified server of roots change")

Use Case: Control which directories AI can access, enabling secure sandboxed operations.

Full example: uv run python examples/e2e_roots_client.py

🎭 Elicitation — User Input Requests

Elicitation allows servers to request structured input from users:

from chuk_mcp.protocol.messages.elicitation import send_elicitation_request

# Server requests user input
response = await send_elicitation_request(
    read, write,
    prompt="Enter API credentials",
    fields=[
        {"name": "api_key", "type": "text", "required": True},
        {"name": "region", "type": "select", "options": ["us", "eu", "asia"]}
    ]
)

# Access user's input
print(f"User provided: {response.values}")

Use Case: Interactive workflows, OAuth flows, confirmation dialogs.

Full example: uv run python examples/e2e_elicitation_client.py

💡 Completion — Smart Autocomplete

Get intelligent suggestions for tool arguments:

from chuk_mcp.protocol.messages.completions import (
    send_completion_complete,
    create_argument_info
)

# Get completions for a file path argument — returns typed CompletionResult
response = await send_completion_complete(
    read, write,
    ref={"type": "ref/resource", "uri": "file:///data/"},
    argument=create_argument_info(
        name="filename",
        value="sales_202"  # Partial input
    )
)

# Show suggestions
print("💡 Suggestions for 'sales_202':")
for value in response.completion.values:
    print(f"  • {value}")

Full example: uv run python examples/e2e_completion_client.py

📊 Progress Tracking

Monitor long-running operations with progress updates:

from chuk_mcp.protocol.messages.tools import send_tools_call

# Call a long-running tool
# Progress notifications will be sent automatically
print("🔄 Starting long operation...")

result = await send_tools_call(
    read, write,
    name="process_large_dataset",
    arguments={"dataset": "sales_data.csv"}
)

print("✅ Operation complete")
# Progress notifications are handled automatically by the client

Full example: uv run python examples/e2e_progress_client.py

🚫 Cancellation

Cancel long-running operations with timeout:

import anyio
from chuk_mcp.protocol.messages.cancellation import send_cancelled_notification
from chuk_mcp.protocol.messages.tools import send_tools_call

async def cancel_after_timeout():
    request_id = "long-op-123"

    async with anyio.create_task_group() as tg:
        # Start long-running operation
        tg.start_soon(send_tools_call, read, write, "process_large_dataset",
                      {"dataset": "big.csv"}, request_id)

        # Cancel after 2 seconds
        with anyio.move_on_after(2):
            await anyio.sleep(999)

        # Send cancellation
        await send_cancelled_notification(write, request_id=request_id, reason="timeout")
        print("🚫 Cancellation sent")

anyio.run(cancel_after_timeout)

Full example: uv run python examples/e2e_cancellation_client.py

🌐 Multiple Transports

Use different transport protocols for different scenarios:

import anyio
from chuk_mcp.protocol.messages import send_initialize
from chuk_mcp import stdio_client, StdioServerParameters
from chuk_mcp.transports.http import http_client, HttpClientParameters

async def main():
    # Stdio transport (local processes)
    p1 = StdioServerParameters(
        command="uvx",
        args=["mcp-server-sqlite", "--db-path", "local.db"]
    )
    async with stdio_client(p1) as (r, w):
        init = await send_initialize(r, w)
        print("📡 Stdio:", init.serverInfo.name)

    # Streamable HTTP transport (remote servers)
    p2 = HttpClientParameters(url="http://localhost:8989/mcp")
    async with http_client(p2) as (r, w):
        init = await send_initialize(r, w)
        print("🌐 Streamable HTTP:", init.serverInfo.name)

anyio.run(main)

🔄 Multi-Server Orchestration

Connect to multiple servers simultaneously:

from chuk_mcp import stdio_client, StdioServerParameters
from chuk_mcp.protocol.messages import send_initialize
from chuk_mcp.protocol.messages.tools import send_tools_list

servers = [
    StdioServerParameters(
        command="uvx",
        args=["mcp-server-sqlite", "--db-path", "db1.db"]
    ),
    StdioServerParameters(
        command="npx",
        args=["-y", "@modelcontextprotocol/server-filesystem", "."]
    )
]

print("🔗 Connecting to multiple servers...")

for i, server_params in enumerate(servers, 1):
    try:
        async with stdio_client(server_params) as (read, write):
            init_result = await send_initialize(read, write)
            tools_result = await send_tools_list(read, write)

            print(f"\n📡 Server {i}: {init_result.serverInfo.name}")
            print(f"   Tools: {len(tools_result.tools)}")

            # Show first 3 tools
            for tool in tools_result.tools[:3]:
                print(f"   • {tool.name}")
    except Exception as e:
        print(f"⚠️ Server {i} failed: {e}")

Type Safety & Validation

All protocol messages return fully typed results using Pydantic (or fallback validation):

from chuk_mcp.protocol.types.content import parse_content, TextContent
from chuk_mcp.protocol.messages.tools import send_tools_call

# Call a tool and get a typed result
tool_result = await send_tools_call(read, write, name="greet", arguments={"name": "World"})

# Type-safe content parsing
content = parse_content(tool_result.content[0])
assert isinstance(content, TextContent)
print(content.text)

Benefits:

Typed returns: All send_* functions return typed Pydantic models
Content parsing: Use parse_content() for type-safe content handling
Runtime validation: Automatic validation with clear error messages
IDE support: Full autocomplete and type checking

Monitoring & Logging

Built-in features for production environments:

from chuk_mcp.protocol.messages.logging import send_logging_set_level

# Set server logging level
await send_logging_set_level(write, level="debug")

Features:

Structured logging with configurable levels
Performance monitoring (latency, error rates, throughput)
Progress tracking and cancellation support
Automatic retry and error handling

Full example: uv run python examples/e2e_logging_client.py

Ecosystem

chuk-mcp is part of a modular suite of Python MCP tools:

chuk-tool-processor — Reliable tool call execution with retries, caching, and exponential backoff
chuk-mcp-server — Real-world MCP server implementation built on chuk-mcp
chuk-mcp-cli — Interactive CLI and playground for testing MCP servers

Each component focuses on doing one thing well and can be used independently or together.

License

MIT — see LICENSE.

chuk-mcp

chuk-mcp

Architecture: Where chuk-mcp Fits

Stack Overview

Internal Architecture

Table of Contents

Why chuk-mcp?

At a Glance

Hello World

Install

With uv (recommended)

With pip

Quick Start

Minimal initialize (inline demo server)

Real server (SQLite example with capability check)

Minimal server (protocol layer)

Core Concepts

Tools

Resources

Prompts

Roots (optional)

Sampling & Completion (optional)

Transports

Configuration Examples

JSON config (client decides how to spawn/connect)

Loading config in code

Examples & Feature Demonstrations

Quick Start Examples

End-to-End (E2E) Examples

Versioning & Compatibility

📋 Supported Protocol Versions (as of v0.1.x)

📊 Client Feature Support Matrix

Versioning Policy

Comparison with Official MCP SDK

Design Goals & Non-Goals

FAQ

Contributing

Security

Feature Showcase

🔧 Tools — Calling Functions

📄 Resources — Reading Data

📡 Resource Subscriptions — Live Updates

💬 Prompts — Template Management

🎯 Sampling — AI Content Generation

📁 Roots — Directory Access Control

🎭 Elicitation — User Input Requests

💡 Completion — Smart Autocomplete

📊 Progress Tracking

🚫 Cancellation

🌐 Multiple Transports

🔄 Multi-Server Orchestration

Type Safety & Validation

Monitoring & Logging

Ecosystem

License

Related Servers

Aptos NPM MCP

MCPHost

MetaMCP

Security Audit Tool

AI Agent Playwright

Maya MCP

Everything MCP Server

Dify Server

TypeScript MCP

MCP Documentation Server

With `uv` (recommended)

With `pip`