Cntx UI
A minimal file bundling and tagging tool for AI development, featuring a web interface and MCP server mode for AI integration.
cntx-ui
Semantic code analysis and context management for AI agents. Turns a codebase into searchable, structured context that agents can navigate efficiently.
What it does
- Semantic analysis — parses your code at the function level using tree-sitter, extracts purpose, complexity, and relationships
- Local vector search — embeds code chunks locally (all-MiniLM-L6-v2 via Transformers.js) for semantic similarity search with no external API calls
- Bundle system — group files into logical bundles (by feature, layer, or pattern) for structured context delivery
- MCP server — exposes 28+ tools to Claude Code, Claude Desktop, or any MCP-compatible client
- Web dashboard — visual interface at localhost:3333 for managing bundles, browsing semantic analysis, and editing agent rules
- Real-time sync — watches for file changes and keeps analysis, bundles, and embeddings current
Install
npm install -g cntx-ui
Usage
cntx-ui init # scaffold .cntx directory, generate .mcp.json
cntx-ui watch # start web server on port 3333
cntx-ui mcp # start MCP server on stdio
cntx-ui bundle <name> # regenerate a specific bundle
cntx-ui status # show project health and bundle state
cntx-ui setup-mcp # configure Claude Desktop integration
After cntx-ui init, agents discover tools automatically via .mcp.json. The .cntx/AGENT.md file provides an onboarding handshake with tool reference and project overview.
Agent interface
Agents interact through MCP tools or the HTTP API:
| MCP Tool | What it does |
|---|---|
agent/discover | Architectural overview of the codebase |
agent/query | Semantic search — "where is auth handled?" |
agent/investigate | Find integration points for a new feature |
agent/organize | Audit and optimize bundle structure |
artifacts/list | List normalized project artifacts (OpenAPI + Navigation) |
artifacts/get_openapi | Return OpenAPI artifact summary and payload |
artifacts/get_navigation | Return Navigation artifact summary and payload |
artifacts/summarize | Compact cross-artifact summary for agents |
list_bundles | List all bundles with metadata |
get_bundle | Get full bundle content as XML |
get_semantic_chunks | Get all analyzed code chunks |
read_file / write_file | File operations with bundle context |
Full tool reference with parameters is generated in .cntx/AGENT.md and .cntx/TOOLS.md.
Artifact HTTP endpoints:
GET /api/artifactsGET /api/artifacts/openapiGET /api/artifacts/navigation
How it works
- tree-sitter parses source files into AST, extracts functions/types/interfaces
- Heuristics engine classifies each chunk by purpose, business domain, and technical patterns based on file paths, imports, and naming conventions
- Embeddings are generated locally and stored in SQLite for persistent vector search
- Bundles group files by glob patterns — auto-suggested on init based on project structure
- MCP server and HTTP API expose everything to agents with consistent response shapes
Tech stack
- Node.js, better-sqlite3, ws (WebSocket)
- tree-sitter (AST parsing), Transformers.js (local embeddings)
- React 19, TypeScript, Vite, Tailwind CSS (web dashboard)
- Model Context Protocol (MCP) via JSON-RPC 2.0
License
MIT
संबंधित सर्वर
Alpha Vantage MCP Server
प्रायोजकAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Code Knowledge Tool
A knowledge management tool for code repositories using vector embeddings, powered by a local Ollama service.
Botoi MCP Server
150+ developer utility APIs via MCP. Hashing, encoding, DNS lookup, IP geolocation, QR codes, JWT tools, URL shortening, email validation, screenshot capture, and more.
Fossick
Search all of GitHub from your AI agent — find libraries, drill into repos, find code patterns.
JavaScript Sandbox
Provides a secure JavaScript execution environment for running code snippets.
Blueprint MCP
Browser automation via MCP for Chrome and Firefox
MCP Server for iOS Simulator
An MCP server that enables LLMs to interact with iOS simulators through natural language commands.
Sionic AI Serverless RAG
Integrates LLM applications with RAG data sources and tools using the Model Context Protocol.
MCP Bridge API
A lightweight, LLM-agnostic RESTful proxy that unifies multiple MCP servers under a single API.
Projet MCP Server-Client
An implementation of the Model Context Protocol (MCP) for communication between AI models and external tools, featuring server and client examples in Python and Spring Boot.
Remote MCP Server (Authless)
An example of a remote MCP server deployable on Cloudflare Workers without authentication, allowing for custom tool integration.