Asynchronous Python library for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, ideal for AI agents, tool integrations, and chatbot ecosystems.
Overview
what is pymcp?
pymcp is an asynchronous Python library designed for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, making it ideal for AI agents, tool integrations, and chatbot ecosystems.
how to use pymcp?
To use pymcp, install the library via pip, and then create your MCP server or client by defining the necessary context and communication protocols. You can find detailed examples in the documentation on GitHub.
key features of pymcp?
- Asynchronous support for high-performance applications
- Easy integration with AI agents and chatbots
- Built-in support for HTTP/SSE communication
use cases of pymcp?
- Building responsive AI chatbots that require real-time data processing.
- Integrating various tools and services using the Model Context Protocol.
- Developing applications that need to handle multiple asynchronous requests efficiently.
FAQ from pymcp?
- Is pymcp suitable for production use?
Yes, pymcp is designed for production environments, especially for applications requiring high concurrency.
- What is the licensing for pymcp?
pymcp is released under the MIT license, allowing for flexible use and modification.
- Where can I find the documentation?
The documentation is available on the GitHub repository at https://github.com/rvirgilli/pymcp.