Developing and managing MCP servers often involves several challenges:

Exposing Python functions as discoverable tools requires repetitive boilerplate.

Coordinating multiple MCP servers simultaneously is complex.

Debugging tools during development is hard due to limited visibility into calls and outputs.

Integrating agents with LLMs to automatically discover and invoke tools is usually ad-hoc.

PolyMCP addresses these challenges by providing:

Flexible tool exposure: Python functions can be served over HTTP, in-process, or stdio with minimal setup.

Inspector dashboard: Monitor tool invocations, metrics, and test calls interactively in real-time.

Agent integration: Support for multiple LLM providers and automatic tool discovery and invocation.

CLI and workflow utilities: Streamline project setup, testing, and execution.

PolyMCP reduces friction in MCP server development and multi-tool agent orchestration, offering a reliable framework for building intelligent, tool-driven systems.

Github: https://github.com/poly-mcp/Polymcp