Overview
What is MCP Server Implementation?
MCP Server Implementation is a Flask-based server that implements the Model Context Protocol (MCP) to enhance Large Language Model (LLM) capabilities by allowing tool invocations directly in the model's text output.
How to use MCP Server?
To use the MCP Server, clone the repository, set up a virtual environment, install the dependencies, and run the Flask server. You can then interact with the server through its API endpoints.
Key features of MCP Server?
- Complete MCP implementation with parsing, execution, and response handling.
- Sample tools like weather and calculator with parameter validation.
- Maintains conversation context across multiple interactions.
- Regex-based parsing for flexible tool invocations.
- REST API endpoints for chat integration.
Use cases of MCP Server?
- Integrating weather information retrieval in chat applications.
- Performing calculations through natural language queries.
- Enhancing LLM responses with real-time data from external tools.
FAQ from MCP Server?
- Can I add my own tools to the MCP Server?
Yes! You can create new tools by inheriting from the Tool class and registering them with the MCP handler.
- Is the MCP Server free to use?
Yes! The MCP Server is open-source and free to use.
- What programming language is used for the MCP Server?
The MCP Server is implemented in Python using the Flask framework.