FluidMCP CLI
A command-line tool to run MCP servers from a single file, with support for automatic dependency resolution, environment setup, and package installation from local or S3 sources.
โก Quick Start - Run Multiple MCP Servers
The main power of FluidMCP is running multiple MCP servers from a single configuration file over a unified FastAPI endpoint.
1. Create a Configuration File
Create a config.json file with your MCP servers:
{
"mcpServers": {
"google-maps": {
"command": "npx",
"args": ["-y", "@google-maps/mcp-server"],
"env": {
"GOOGLE_MAPS_API_KEY": "your-api-key"
}
},
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"],
"env": {}
}
}
}
2. Launch All Servers
fluidmcp run config.json --file --start-server
This will:
- Install and configure all MCP servers listed in your config
- Launch them through a unified FastAPI gateway
- Make them available at
http://localhost:8099 - Provide automatic API documentation at
http://localhost:8099/docs
๐ Features
-
๐ Multi-Server Orchestration
- Define multiple MCP servers in a single JSON configuration file
- Launch all servers with one command:
fluidmcp run --file <config.json> - Unified FastAPI gateway serving all your MCP tools
-
๐ฆ Package Management
- Install MCP packages with
fluidmcp install author/package@version - Automatic dependency resolution and environment setup
- Support for npm, Python, and custom MCP servers
- Install MCP packages with
-
๐ FastAPI Gateway
- Unified HTTP endpoints for all MCP tools
- Server-Sent Events (SSE) streaming support
- Swagger documentation at
/docs
-
๐ Security & Authentication
- Bearer token authentication
- Secure mode with encrypted communications
- Environment variable encryption for API keys
๐ฅ Installation
pip install fluidmcp
๐ง Alternative Usage Patterns
Install Individual Packages
fluidmcp install author/package@version
List Installed Packages
fluidmcp list
Run Individual Package
fluidmcp run author/package@version --start-server
๐ Advanced Usage
Secure Mode with Authentication
Run with bearer token authentication:
fluidmcp run config.json --file --secure --token your_token --start-server
after authorisation
โ๏ธ Run from S3 URL
Run configuration directly from S3:
fluidmcp run "https://bucket.s3.amazonaws.com/config.json" --s3
Common Options:
--start-serverโ Starts FastAPI server--masterโ Use S3-driven config--fileโ Run from local config.json--s3โ Run from S3 URL--secureโ Enable secure token mode--token <token>โ Custom bearer token--verboseโ Enable verbose logging (DEBUG level)
Run All Installed Packages
fluidmcp run all --start-server
๐ Run Modes
๐ง Master Mode (S3 Centralized)
fluidmcp install author/package@version --master
fluidmcp run all --master
๐งฉ Environment Variables
# S3 Credentials (used in --master mode)
export S3_BUCKET_NAME="..."
export S3_ACCESS_KEY="..."
export S3_SECRET_KEY="..."
export S3_REGION="..."
# Registry access
export MCP_FETCH_URL="https://registry.fluidmcp.com/fetch-mcp-package"
export MCP_TOKEN="..."
Edit Environment
fluidmcp edit-env <author/package@version>
Show Version
fluidmcp --version
Displays FluidMCP version, Python version, and installation path.
Validate Configuration
# Validate a local configuration file
fluidmcp validate config.json --file
# Validate an installed package
fluidmcp validate author/package@version
The validate command checks:
- Configuration file structure and resolution
- Command availability in system PATH
- Required environment variables (marked with
required: true) - Optional environment variables and tokens
- Metadata.json existence for installed packages
Note: Environment variable lookup is case-insensitive. For example, if your config specifies github_token, the validator will check both github_token and GITHUB_TOKEN in your environment.
The command distinguishes between errors (fatal issues) and warnings (non-fatal issues):
Errors (exit code 1):
- Missing commands in PATH
- Missing required environment variables
- Configuration resolution failures
Warnings (exit code 0):
- Missing optional environment variables
- Missing TOKEN variables not explicitly marked as required
Example outputs:
Success:
โ Configuration is valid with no issues found.
With warnings only:
โ ๏ธ Configuration is valid with warnings:
- Optional env var 'DEBUG_MODE' is not set (server: test-server)
- Token env var 'GITHUB_TOKEN' is not set (server: github-server)
โ No fatal errors found. You may proceed, but consider addressing the warnings above.
With errors:
โ Configuration validation failed with errors:
- Command 'nonexistent-command' not found in PATH (server: test-server)
- Missing required env var 'API_KEY' (server: test-server)
โ ๏ธ Warnings:
- Optional env var 'DEBUG_MODE' is not set (server: test-server)
๐ Directory Layout
.fmcp-packages/
โโโ Author/
โโโ Package/
โโโ Version/
โโโ metadata.json
โโโ [tool files]
๐ metadata.json Example
{
"mcpServers": {
"maps": {
"command": "npx",
"args": ["-y", "@package/server"],
"env": {
"API_KEY": "xxx"
}
}
}
}
๐งช Try an MCP Server
fluidmcp install Google_Maps/google-maps@0.6.2
fluidmcp run all
Then call it using:
import requests, json
url = "http://localhost:8099/google-maps/mcp"
payload = {
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "maps_search_places",
"arguments": {
"query": "coffee shops in San Francisco"
}
}
}
response = requests.post(url, json=payload)
print(json.dumps(response.json(), indent=2))
๐ก Streaming with SSE
curl -N -X POST http://localhost:8099/package/sse \
-H "Content-Type: application/json" \
-d @payload.json
sse/startsse/streamsse/messagesse/tools_call
Useful for LLMs, web scraping, or AI workflows that stream data.
๐ธ Demo
Installing an individual package
Running an individual package
Edit environment of a package
๐ค Contribute
FluidMCP is open for collaboration. We welcome contributions from the community!
- Contributing Guide: See CONTRIBUTING.md for development setup and guidelines
- Report Issues: Open an issue on GitHub
- Submit PRs: Follow our contribution guidelines to submit pull requests
๐ License
GNU General Public License v3.0
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