Meta-Dynamic MCP Server

Meta-Dynamic MCP Server

Aggregates multiple remote Model Context Protocol endpoints and exposes them through a unified SSE interface, allowing an LLM client to interact with specialized servers without configuration changes.

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Meta-Dynamic MCP Server

<div align="center"> <strong>🎉 Built with curiousity by the uminai Team</strong> </div>

A single Model Context Protocol (MCP) proxy that aggregates multiple remote MCP endpoints (via HTTP-stream or SSE) and exposes them through one unified SSE interface.
Ideal for driving a single LLM client (e.g. Claude) while mixing in any number of specialized MCP servers (math, finance, etc.).


🔄 Why Meta-Dynamic vs Direct MCP Configuration

Traditionally, you would list each MCP server directly in your LLM client’s mcpServers config. While straightforward, that approach has drawbacks:

  • Tight coupling: Every time you add or remove an MCP endpoint, you must update the client config and restart the LLM process.
  • Multiple connections: The client has to manage separate HTTP/SSE transports for each server, increasing complexity.
  • No shared logic: Common patterns like namespacing, error handling, or retries must be re-implemented in every client.

Meta-Dynamic centralizes these concerns in one proxy:

  • Single endpoint: Your LLM client only talks to http://localhost:8080/sse, regardless of how many backends you add.
  • Dynamic remotes: Remotes are configured in one place (your proxy), decoupled from the LLM—add/remove without touching the client.
  • Unified logic: Namespacing, tool/resource aggregation, error handling, and transport selection live in a single codebase, reducing duplication.

🔧 Prerequisites

  • Node.js ≥ v16
  • npm (or Yarn)
  • A set of running MCP servers you want to proxy (e.g. FastMCP math server on http://localhost:8083/mcp, CoinGecko’s SSE-based MCP, etc.)

🏗️ Project Structure

meta-dynamic-server/
├── package.json         # scripts & dependencies
├── tsconfig.json        # TypeScript compiler options
├── .gitignore           # Node & dist ignores
├── README.md            # this document
└── src/
    ├── index.ts         # bootstrap entrypoint
    └── meta-dynamic-server.ts  # core proxy implementation

🚀 Installation & Development

  1. Clone & install

    git clone <repo-url> meta-dynamic-server
    cd meta-dynamic-server
    npm install
    
  2. Run in watch mode

    npm run dev
    # uses ts-node-dev to reload on changes
    
  3. Build & run

    npm run build   # compiles to `dist/`
    npm start       # runs compiled `dist/index.js`
    

⚙️ Configuration: Adding Remotes

Edit src/index.ts to define the list of MCP servers you wish to proxy.
Each remote needs:

  • name: unique alias (used to namespace URIs & tool names)
  • url: full endpoint URL (HTTP-stream endpoints point to /mcp, SSE to the /sse path)
  • transport: either httpStream or sse
import { MetaDynamicServer } from "./meta-dynamic-server";

const remotes = [
  { name: "math",      url: "http://localhost:8083/mcp",         transport: "httpStream" },
  { name: "coingecko", url: "https://mcp.api.coingecko.com/sse", transport: "sse" },
  // add more MCP endpoints here
];

new MetaDynamicServer(remotes).start(8080);

Note: The proxy exposes an SSE stream on port 8080 by default: http://localhost:8080/sse


📜 How It Works

  1. Remote Initialization: connects to each MCP server using the specified transport.
  2. Request Handlers:
    • resources/list, resources/read → fan-out & namespace by alias
    • tools/list, tools/call → aggregate & route tool invocations
  3. SSE Endpoint: exposes a single SSE stream (/sse) and message POST path (/messages) for any MCP-capable LLM client.

🧪 Testing

You can verify connectivity with curl or your LLM’s built-in MCP client.
Example with curl to list resources:

# 1. open an SSE stream:
curl -N http://localhost:8080/sse
# 2. in another shell, send a JSON-RPC over POST:
curl -X POST http://localhost:8080/messages \
     -H "Content-Type: application/json" \
     -d '{"jsonrpc":"2.0","id":1,"method":"resources/list"}'

🚧 Contributing

  1. Fork the repo
  2. Create a feature branch
  3. Submit a PR with tests/documentation

📄 License

Released under the MIT License. See LICENSE for details.

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