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Mcp Orchestrator

rupinder2/mcp-orchestrator
210 toolsSTDIO, HTTPregistry active
Summary

This is a meta-layer server that sits above your other MCP servers and aggregates their tools into a single interface. Instead of Claude loading every tool from every server upfront, you get deferred loading through a unified search system. It uses BM25 ranking for natural language queries or regex for pattern matching, returns tool references that Claude can then load on demand, and routes calls back to the appropriate downstream server. Configure servers via JSON (supporting both stdio and HTTP transports), and it handles namespacing, caching, and authentication. Useful when you have many MCP servers and want to avoid context bloat while maintaining discoverability across your entire tool ecosystem.

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Tools

Public tool metadata for what this MCP can expose to an agent.

10 tools
orchestrator.server_catalogReturn MCP endpoints and recommended server keys.

Return MCP endpoints and recommended server keys.

No parameter schema in public metadata yet.

orchestrator_server_catalogReturn MCP endpoints and recommended server keys.

Return MCP endpoints and recommended server keys.

No parameter schema in public metadata yet.

orchestrator.landing_routesPublic no-token routes to start the experience.

Public no-token routes to start the experience.

No parameter schema in public metadata yet.

orchestrator_landing_routesPublic no-token routes to start the experience.

Public no-token routes to start the experience.

No parameter schema in public metadata yet.

orchestrator.summaryCross-domain snapshot: which goals/wealth areas have data + tokenized deep links.1 params

Cross-domain snapshot: which goals/wealth areas have data + tokenized deep links.

Parameters* required
tokenstring
users.verification_token
orchestrator_summaryCross-domain snapshot: which goals/wealth areas have data + tokenized deep links.1 params

Cross-domain snapshot: which goals/wealth areas have data + tokenized deep links.

Parameters* required
tokenstring
users.verification_token
orchestrator.onboardingOnboarding payload (requires token). Returns profile/shared_data + next deep links.1 params

Onboarding payload (requires token). Returns profile/shared_data + next deep links.

Parameters* required
tokenstring
users.verification_token
orchestrator_onboardingOnboarding payload (requires token). Returns profile/shared_data + next deep links.1 params

Onboarding payload (requires token). Returns profile/shared_data + next deep links.

Parameters* required
tokenstring
users.verification_token
orchestrator.send_magic_linkSend magic link email so the user can open a path with their token (uses /api/auth/send-magic-link).3 params

Send magic link email so the user can open a path with their token (uses /api/auth/send-magic-link).

Parameters* required
emailstring
confirm_sendboolean
Must be true to send email
redirectPathstring
App path e.g. /wealth, /goals, /expenses, /save
orchestrator_send_magic_linkSend magic link email so the user can open a path with their token (uses /api/auth/send-magic-link).3 params

Send magic link email so the user can open a path with their token (uses /api/auth/send-magic-link).

Parameters* required
emailstring
confirm_sendboolean
Must be true to send email
redirectPathstring
App path e.g. /wealth, /goals, /expenses, /save

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

VariableDefaultDescription
STORAGE_BACKENDmemoryStorage backend (memory or redis)
REDIS_URLredis://localhost:6379/0Redis connection URL
MCP_ORCHESTRATOR_TOOL_CACHE_TTL300Tool schema cache TTL in seconds
MCP_ORCHESTRATOR_DEFAULT_CONNECTION_MODEstatelessDefault connection mode
MCP_ORCHESTRATOR_CONNECTION_TIMEOUT30.0Connection timeout in seconds
MCP_ORCHESTRATOR_MAX_RETRIES3Maximum retry attempts
ORCHESTRATOR_TRANSPORTstdioMCP transport (stdio or http)
ORCHESTRATOR_PORT8080Port for HTTP transport
ORCHESTRATOR_HOST0.0.0.0Host for HTTP transport
ORCHESTRATOR_LOG_LEVELINFOLogging level
SERVER_CONFIG_PATHserver_config.jsonPath 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.

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Configuration

STORAGE_BACKEND

Storage backend for tool cache. Use 'memory' for development or 'redis' for production.

REDIS_URL

Redis connection URL. Required only when STORAGE_BACKEND=redis.

SERVER_CONFIG_PATH

Path to the server_config.json file listing downstream MCP servers.

ORCHESTRATOR_PORT

Port for the HTTP transport server (default: 8080).

Categories
Search & Web Crawling
Registryactive
Packagemcp-orchestrator
TransportSTDIO, HTTP
UpdatedFeb 26, 2026
View on GitHub

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