Hydra MCP Server

@keyboardsmoke

Repository

Basic information

About Hydra MCP Server

Just a test project for an intermediate server between endpoints and Claude's MCP

#ai #mcp #claude

Hydra MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hydra-mcp": {
      "command": "python",
      "args": [
        "ipc_server.py"
      ]
    }
  }
}

Hydra MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Hydra MCP?

Hydra MCP implements a Model Control Protocol server that enables Claude to interact with various client functions through a REST API interface. It consists of a central server that coordinates communication between multiple clients and exposes their functions to Claude via a standardized API.

How to use Hydra MCP?

Start the central server by running python ipc_server.py. Register client functions by sending a POST request to /register_functions with an endpoint name and function list. Then use the MCP tools (get_endpoints(), get_registered_functions(), call_function()) to discover and invoke functions from Claude.

Key features of Hydra MCP

Centralized function registry for multiple clients
REST API endpoints for function discovery and invocation
Standardized communication protocol between clients and Claude
Easy-to-use function registration system
Automatic function discovery and documentation

Use cases of Hydra MCP

Let Claude call functions from multiple remote client applications
Register and manage client functions through a central server
Discover available functions automatically for dynamic tool use
Test client implementations with sample clients (fake_client.py, fake_claude.py)

Frequently asked questions

What is the default port for the server?

The server runs on port 6565 by default. This can be changed by modifying the `API_SERVER_PORT` constant in both `ipc_server.py` and `ipc_api.py`.

How do I start the server?

Run `python ipc_server.py` from the command line. The server will start and listen for client registrations and MCP requests.

How do I register a client?

Send a POST request to `http://localhost:<API_SERVER_PORT>/register_functions` with a JSON body containing an `endpoint` name and a `functions` list (each function has name, description, and parameters).

What MCP tools are available?

Three tools are provided: `get_endpoints()` lists all endpoints, `get_registered_functions(endpoint)` retrieves functions for a specific endpoint, and `call_function(endpoint, function_name, arguments)` invokes a function.

What are the dependencies?

The project requires FastAPI, uvicorn, requests, and fastmcp.

Comments

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