Hydra MCP Server

Hydra MCP is a lightweight, yet powerful Model Control Protocol server designed to bridge Claude and other AI assistants with external tools through a single, standardized REST interface. By centralising function registration and routing, it eliminates the need for bespoke integrations for each client service. Developers can simply expose a set of callable functions, and the server will automatically make them discoverable to Claude, enabling dynamic interaction without manual configuration.

The core value of Hydra MCP lies in its centralised function registry. Multiple clients can register their capabilities on a single FastAPI host, and Claude can query the registry to discover available endpoints, functions, and parameter schemas. This unified view simplifies AI workflows that involve heterogeneous services—such as data retrieval, computation, or domain‑specific APIs—by providing a single entry point for function discovery and invocation. The server’s REST endpoints (, ) expose the registry, while MCP‑specific helpers (, , ) offer a concise API for AI assistants to interact with the registered services.

Key features include automatic function documentation and type safety. When a client registers functions, the server captures descriptive metadata—name, description, and parameter types—which Claude can use to generate precise prompts or UI elements. This eliminates guesswork about argument structures and ensures that function calls are well‑formed. The server also supports dynamic discovery: as new clients come online, their functions become instantly available to Claude without downtime or redeployment.

Typical use cases involve building AI‑powered workflows that span multiple services. For example, a data science team could register a statistical analysis client and an NLP model; Claude can then orchestrate calls to both, passing results from one as inputs to the other. In a customer‑support scenario, an external ticketing system can be exposed as a function; Claude can create or update tickets directly while maintaining a consistent conversational context. Because the server operates over HTTP, it integrates seamlessly with existing CI/CD pipelines and can be deployed behind standard load balancers or API gateways.

Hydra MCP’s standout advantage is its simplicity and extensibility. The implementation relies on well‑known libraries (FastAPI, uvicorn, requests) and the fastmcp package, making it easy to drop into existing Python ecosystems. Developers can extend functionality by adding new clients or custom validation logic without altering the core server code, ensuring long‑term maintainability and rapid iteration.