mcp-nlp

Created By
tivaliya year ago
MCP-NLP is a FastMCP application designed to provide NLP (Natural Language Processing) capabilities using the Model Context Protocol (MCP)
Overview

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.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
tivaliy
Star
0
Language
Python
License
-
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