MCP Gateway

What is MCP Gateway?

MCP Gateway is a flexible, FastAPI-based gateway for the Model Context Protocol (MCP) that serves as a central management point for tools, resources, and prompts accessible by MCP-compatible LLM applications.

How to use MCP Gateway?

To use MCP Gateway, you can run it using Docker or manually install it in a Python environment. Configuration is done via environment variables or a .env file, and you can interact with it through its Admin UI or API endpoints.

Key features of MCP Gateway?

• Centralizes tool, resource, and prompt registries while preserving MCP protocol.
• Federates multiple MCP servers into one unified endpoint.
• Virtualizes non-MCP services as managed MCP servers.
• Adapts REST APIs into MCP tools with input validation and retry policies.
• Provides a rich Admin UI for management and observability.

Use cases of MCP Gateway?

1. Managing multiple LLM tools and resources in a unified interface.
2. Integrating various REST APIs into a single MCP-compliant service.
3. Facilitating communication between different LLM applications and services.

FAQ from MCP Gateway?

• Can MCP Gateway handle non-MCP services?

Yes! It can wrap any REST API as a managed MCP server.

• Is there a user interface for managing tools and resources?

Yes! MCP Gateway includes a rich Admin UI for easy management.

• How do I deploy MCP Gateway?

You can deploy it using Docker or manually install it in a Python environment.