
MCP Orchestration Gateway – aggregates tools from multiple MCP servers with BM25 search and deferred loading for Claude Desktop
概览
A central hub that connects to multiple downstream MCP servers, aggregates their tools, and provides unified access with powerful tool search capabilities. Built around — search across all your servers without blowing Claude's context window. - : Add downstream MCP servers via JSON config file - : Automatic server_name__tool_name format - : Unified BM25/regex search with deferred loading support - : Static saved headers or token forwarding - : stdio or HTTP - : Cached definitions, raw result passthrough - : In-memory (development) or Redis (production) This starts the server on http://localhost:8080/mcp with CORS enabled. Add downstream MCP servers in server_config.json: The orchestrator provides unified tool search (BM25 by default, regex optional): Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json): Search for tools using BM25 relevance ranking or regex pattern matching.
README
以下为原文 README 节选,完整内容请查看原文。
MCP Orchestrator
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_nameformat - 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 │
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手?先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"mcp-orchestrator": {
"command": "mcp-orchestrator",
"env": {
"STORAGE_BACKEND": "memory",
"ORCHESTRATOR_LOG_LEVEL": "INFO"
}
}
}
}