Skip to main content

Orchestrates multiple MCP servers with unified tool search (BM25/regex) and deferred loading

Project description

MCP Orchestrator

PyPI Version Python Version License: MIT Tests Contributions Welcome

A central hub that connects to multiple downstream MCP servers, aggregates their tools, and provides unified access with powerful tool search capabilities.

Built around deferred tool loading — search across all your servers without blowing Claude's context window.

Features

  • Config-based Server Registration: Add downstream MCP servers via JSON config file
  • Tool Namespacing: Automatic server_name__tool_name format
  • Tool Search: Unified BM25/regex search with deferred loading support
  • Flexible Authentication: Static saved headers or token forwarding
  • Multiple Transports: stdio or HTTP
  • Tool Definition Caching: Cached definitions, raw result passthrough
  • Storage Backends: In-memory (development) or Redis (production)

Quick Start

Installation

pip install mcp-orchestrator

Running the MCP Server

# Run as stdio MCP server (for Claude Desktop, Cursor, etc.)
mcp-orchestrator

# Or run with Python directly
python -m mcp_orchestrator.main

HTTP Transport:

ORCHESTRATOR_TRANSPORT=http ORCHESTRATOR_PORT=8080 python -m mcp_orchestrator.main

This starts the server on http://localhost:8080/mcp with CORS enabled.

Configuring Servers

Add downstream MCP servers in server_config.json:

{
  "servers": [
    {
      "name": "my-server",
      "url": "http://localhost:8080/mcp",
      "transport": "http",
      "auth_type": "static",
      "auth_headers": {
        "Authorization": "Bearer my-token"
      }
    },
    {
      "name": "my-stdio-server",
      "url": "server.py",
      "transport": "stdio",
      "command": "uv",
      "args": ["run", "python", "server.py"]
    }
  ]
}

Searching for Tools

The orchestrator provides unified tool search (BM25 by default, regex optional):

# BM25 search (default - natural language)
results = await mcp_client.call_tool("tool_search", {
    "query": "get weather information",
    "max_results": 3
})

# Regex search (set use_regex=true)
results = await mcp_client.call_tool("tool_search", {
    "query": "weather|forecast",
    "use_regex": true,
    "max_results": 3
})

Architecture

┌─────────────────────────────────────────────────────┐
│                  MCP Orchestrator                    │
│                                                      │
│  ┌──────────────────────────────────────────────┐   │
│  │              FastMCP Server                   │   │
│  │  ┌─────────────┐  ┌──────────────────┐   │   │
│  │  │ tool_search │  │ call_remote_tool  │   │   │
│  │  └─────────────┘  └──────────────────┘   │   │
│  └──────────────────────────────────────────────┘   │
│                                                      │
│  ┌──────────┐  ┌──────────┐  ┌──────────────┐      │
│  │  Server  │  │   Tool   │  │   Storage    │      │
│  │ Registry │  │  Search  │  │(Memory/Redis)│      │
│  └──────────┘  └──────────┘  └──────────────┘      │
└─────────────────────────────────────────────────────┘
                           │
        ┌───────────────────┼───────────────────┐
        ▼                   ▼                   ▼
   ┌─────────┐        ┌─────────┐        ┌─────────┐
   │ MCP Svr │        │ MCP Svr │        │ MCP Svr │
   │   #1    │        │   #2    │        │   #N    │
   └─────────┘        └─────────┘        └─────────┘

Configuration

Environment Variables

Variable Default Description
STORAGE_BACKEND memory Storage backend (memory or redis)
REDIS_URL redis://localhost:6379/0 Redis connection URL
MCP_ORCHESTRATOR_TOOL_CACHE_TTL 300 Tool schema cache TTL in seconds
MCP_ORCHESTRATOR_DEFAULT_CONNECTION_MODE stateless Default connection mode
MCP_ORCHESTRATOR_CONNECTION_TIMEOUT 30.0 Connection timeout in seconds
MCP_ORCHESTRATOR_MAX_RETRIES 3 Maximum retry attempts
ORCHESTRATOR_TRANSPORT stdio MCP transport (stdio or http)
ORCHESTRATOR_PORT 8080 Port for HTTP transport
ORCHESTRATOR_HOST 0.0.0.0 Host for HTTP transport
ORCHESTRATOR_LOG_LEVEL INFO Logging level
SERVER_CONFIG_PATH server_config.json Path to server configuration file

Claude Desktop Integration

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "mcp-orchestrator": {
      "command": "mcp-orchestrator",
      "env": {
        "STORAGE_BACKEND": "memory",
        "ORCHESTRATOR_LOG_LEVEL": "INFO"
      }
    }
  }
}

MCP Tools

tool_search

Search for tools using BM25 relevance ranking or regex pattern matching.

@mcp.tool()
async def tool_search(
    query: str,
    max_results: int = 3,
    use_regex: bool = False,
) -> dict:
    """Search for tools using BM25 or regex.

    By default uses BM25 natural language search. Set use_regex=True
    to search using Python regex patterns instead.
    """

discover_tools

Discover tools from a registered downstream server.

@mcp.tool()
async def discover_tools(
    server_name: str,
) -> dict:
    """Discover tools from a registered server and index them for search.

    Returns the list of discovered tools with their schemas.
    """

call_remote_tool

Call a tool directly on a downstream MCP server.

@mcp.tool()
async def call_remote_tool(
    tool_name: str,
    arguments: Optional[dict] = None,
    auth_header: Optional[str] = None,
) -> Any:
    """Call a tool on a downstream server.

    Args:
        tool_name: Namespaced tool name (server_name__tool_name)
        arguments: Tool arguments
        auth_header: Optional auth header to override server's configured auth
    """

Tool Search Results

The search tools return results in the format expected by Claude's tool search system:

{
  "success": true,
  "tool_references": [
    {
      "type": "tool_reference",
      "tool_name": "server_name__tool_name"
    }
  ],
  "total_matches": 5,
  "query": "weather"
}

Testing

Run the test suite:

uv run pytest

Run with coverage:

uv run pytest --cov=mcp_orchestrator

Project Structure

mcp-orchestrator/
├── src/mcp_orchestrator/
│   ├── __init__.py
│   ├── main.py              # Entry point
│   ├── models.py            # Pydantic models
│   ├── mcp_server.py        # FastMCP server
│   ├── config_loader.py     # Config file loader
│   ├── server/
│   │   └── registry.py      # Server registry
│   ├── tools/
│   │   ├── router.py       # Tool router
│   │   └── search.py       # Tool search service
│   └── storage/
│       ├── base.py          # Storage interface
│       ├── memory.py        # In-memory backend
│       └── redis.py         # Redis backend
├── tests/
│   ├── test_registry.py
│   ├── test_search.py
│   ├── test_storage.py
│   ├── test_models.py
│   └── test_integration.py
├── server_config.json       # Pre-configured downstream servers
├── pyproject.toml
├── README.md
└── .env                    # Environment variables (not committed)

License

MIT License

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_orchestrator-0.1.2.tar.gz (119.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_orchestrator-0.1.2-py3-none-any.whl (29.9 kB view details)

Uploaded Python 3

File details

Details for the file mcp_orchestrator-0.1.2.tar.gz.

File metadata

  • Download URL: mcp_orchestrator-0.1.2.tar.gz
  • Upload date:
  • Size: 119.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for mcp_orchestrator-0.1.2.tar.gz
Algorithm Hash digest
SHA256 729b52fdbe2e01d8caef15fd561f9e7a6113ade5ddbfc6a7ec052201786d9432
MD5 a035c8bf71e60ea84bf8aef3a37dba5f
BLAKE2b-256 924ae1424eaf69badc19f2f489c46d4f103958943f30e9876546605282fb819b

See more details on using hashes here.

File details

Details for the file mcp_orchestrator-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: mcp_orchestrator-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 29.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for mcp_orchestrator-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 40fd03f3c76bf18c3a53cae2df4af56c026bdca25c7fed229dc8d9117320b05d
MD5 d9d3f1e330930bb90dd8e9e6104b7471
BLAKE2b-256 951f09f27b1df31f5ed2f610c3e6f831dc2c0cb8d4e584857157243913feed79

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page