mcp-nlp

what is MCP-NLP?

MCP-NLP is a FastMCP application designed to provide Natural Language Processing (NLP) capabilities using the Model Context Protocol (MCP).

how to use MCP-NLP?

To use MCP-NLP, clone the repository, install the necessary dependencies, and run the application either locally or in a Docker container. Access the MCP server endpoint to utilize its features.

key features of MCP-NLP?

• Built on the FastMCP framework for efficient server management.
• Implements the Model Context Protocol for LLM context management.
• Includes NLP modules like textdistance for calculating text distance metrics.

use cases of MCP-NLP?

1. Developing NLP applications that require context management.
2. Implementing text analysis tools using distance metrics.
3. Building scalable NLP services using Docker.

FAQ from MCP-NLP?

• What are the prerequisites for using MCP-NLP?

You need Python 3.12, Docker, and the uv package installed.

• Can I run MCP-NLP without Docker?

Yes, you can run it locally by following the installation instructions.

• What is the Model Context Protocol?

It is a protocol that allows for the management and control of LLM contexts.