AndyM129/mcp_playground
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The document provides a detailed guide on setting up and developing a Model Context Protocol (MCP) server using Python, with tools like Ollama and CherryStudio.
Model Context Protocol (MCP) is a technology that allows for the development and deployment of local large models, enabling users to execute specific operations without relying on UI or terminal interfaces. The document outlines the process of setting up an MCP server using Python, with a focus on tools like Ollama for model deployment and CherryStudio as a client for local models. It provides step-by-step instructions on installing necessary software, creating and initializing an MCP project, and developing and debugging MCP tools. The guide also includes instructions on integrating the MCP server with CherryStudio to utilize local large models effectively.
Features
- Local Model Deployment: Use Ollama to deploy large models locally, allowing for offline operations.
- Python-Based Development: Develop MCP servers using Python, leveraging the FastMCP framework for easy tool registration.
- Integration with CherryStudio: Connect MCP servers with CherryStudio to manage and utilize local models efficiently.
- Tool Registration: Easily register functions as tools using decorators in the FastMCP framework.
- Debugging and Testing: Provides a method to debug and test MCP tools using a local server and browser interface.
