mcp-nlp

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

• FastMCP Framework v2: A modern framework for fast, Pythonic way to build MCP servers.
• Model Context Protocol (MCP): A protocol that allows for the management and control of LLM contexts.
• NLP-modules
  • textdistance: A module for calculating text distance metrics

Prerequisites

Before you begin, ensure you have the following installed:

• Python 3.12
• Docker
• uv

Installation

1. Clone the repository:

   git clone https://github.com/tivaliy/mcp-nlp.git
   cd mcp-nlp

2. Install dependencies (using uv):

   uv sync

Usage

Local Running

To run the application locally:

Create a .env file in the root directory (see .env.example as an example).

1. Start the FastMCP application:

   uvicorn app.main:http_app --reload

2. Access the MCP server endpoint at http://127.0.0.1:8000/mcp/ (in case of streamable-http transport)

Run MCP Server Using Docker

To run the MCP server in a Docker container:

1. Build the Docker image:

   docker build -t mcp-nlp .

2. Run the Docker container:

   docker run --rm -p 8000:8000 mcp-nlp

3. Access the MCP server endpoint at http://127.0.1:8000/mcp/ (in case of streamable-http transport)

MCP | Model Context Protocol | FastMCP | NLP