mcp-nlp
@tivaliy
mcp-nlp について
MCP-NLP is a FastMCP application designed to provide NLP (Natural Language Processing) capabilities using the Model Context Protocol (MCP)
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-nlp": {
"command": "uv",
"args": [
"sync"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is mcp-nlp?
MCP-NLP is a FastMCP application built with the FastMCP v2 framework that provides NLP capabilities, specifically text distance metrics via the textdistance module, using the Model Context Protocol (MCP).
How to use mcp-nlp?
Clone the repository, install dependencies with uv sync, then run locally using uvicorn app.main:http_app --reload or build and run a Docker container with docker build -t mcp-nlp . followed by docker run --rm -p 8000:8000 mcp-nlp. The MCP server endpoint is accessible at http://127.0.0.1:8000/mcp/ using the streamable-http transport.
Key features of mcp-nlp
- Built on the FastMCP v2 framework for Pythonic MCP servers
- Provides NLP text distance calculations via
textdistance - Supports local and Docker deployment
- Uses streamable-http transport
- Requires Python 3.12, Docker, and uv
Use cases of mcp-nlp
- Compute text similarity or distance between strings
- Add NLP functionality to LLM context management pipelines
- Deploy a lightweight MCP server for text analysis tasks
FAQ from mcp-nlp
What is MCP-NLP?
MCP-NLP is a FastMCP application that provides NLP capabilities, including text distance metrics, using the Model Context Protocol.
What are the prerequisites?
Python 3.12, Docker, and uv are required.
How do I run the MCP server locally?
Create a .env file, then run uvicorn app.main:http_app --reload and access the endpoint at http://127.0.0.1:8000/mcp/.
How do I run it using Docker?
Build the image with docker build -t mcp-nlp . and run the container with docker run --rm -p 8000:8000 mcp-nlp.
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