Mcp-Nlp

About

MCP-NLP is a FastMCP application built to deliver Natural Language Processing (NLP) functionalities, leveraging the Model Context Protocol (MCP). It integrates with the FastMCP Framework v2, offering a Pythonic approach to building MCP servers and utilizes modules like `textdistance` for calculating text distance metrics. The tool facilitates managing and controlling LLM contexts, making it easier to integrate NLP features into MCP-based applications.

Key Features

• Built on FastMCP Framework v2 for rapid development
• Implements Model Context Protocol (MCP) for LLM context management
• Includes textdistance module for text distance calculations
• Supports local running and Docker deployment
• Uses uv for dependency management
• 0 GitHub stars

Use Cases

• Integrating NLP features into MCP servers
• Managing LLM contexts within a FastMCP application
• Calculating text similarity and distance