keyboardsmoke
MCP Serverkeyboardsmokepublic

hydra mcp

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

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Python
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MIT License
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About This Server

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

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Hydra MCP

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

!Claude using the Hydra MCP plugin

Project Structure

  • ipc_server.py: The central FastAPI server that manages function registration and routing
  • ipc_api.py: The Hydra MCP interface that exposes client functions to Claude
  • fake_client.py: A sample client implementation for testing
  • fake_claude.py: A test implementation of Claude's interface

Features

  • 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

API Endpoints

Server Endpoints

  • POST /register_functions: Register new functions from a client
  • GET /get_functions: Retrieve the list of all registered functions

MCP Tools

  • get_endpoints(): List all available endpoints
  • get_registered_functions(endpoint): Get functions available at a specific endpoint
  • call_function(endpoint, function_name, arguments): Call a specific function with arguments

Usage

  1. Start the central server:
python ipc_server.py
  1. Register client functions:
# Example client registration
functions = [
    {
        "name": "example_function",
        "description": "An example function",
        "parameters": {
            "param1": "string",
            "param2": "integer"
        }
    }
]

requests.post(
    f"http://localhost:{API_SERVER_PORT}/register_functions",
    json={
        "endpoint": "client1",
        "functions": functions
    }
)
  1. Use the MCP interface to interact with functions:
# Get available endpoints
endpoints = get_endpoints()

# Get functions for a specific endpoint
functions = get_registered_functions("localhost:1234")

# Call a function
result = call_function("localhost:1234", "example_function", {"param1": "value", "param2": 42})

Configuration

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

Dependencies

  • FastAPI
  • uvicorn
  • requests
  • fastmcp

Testing

The project includes sample implementations (fake_client.py and fake_claude.py) for testing the functionality. These can be used as reference implementations for creating new clients or testing the system.

Quick Start

1

Clone the repository

git clone https://github.com/keyboardsmoke/hydra-mcp
2

Install dependencies

cd hydra-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerkeyboardsmoke
Repohydra-mcp
LanguagePython
LicenseMIT License
Last fetched8/10/2025

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