Local NLP tool for deterministic text analysis including sentiment scoring, readability assessment, keyword extraction, and summarization across 18 languages. Pure Python implementation with minimal dependencies.

What it does

BlackMount NLP MCP is a Model Context Protocol server providing deterministic natural language processing capabilities for local text analysis. It performs sentiment analysis, readability scoring, keyword extraction, text similarity comparison, summarization, and language detection across 18 languages without requiring external APIs or heavy dependencies.

How to set up

As an MCP server, installation involves: 1) Clone or download the repository from GitHub, 2) Install the Python package (42 KB wheel), 3) Configure the MCP server in your compatible AI application (Claude, ChatGPT, or other MCP-compatible platforms), 4) Start the server and connect through your AI tool's MCP interface.

Key features

Sentiment analysis and emotional tone detection
Readability scoring for content assessment
Automated keyword and phrase extraction
Text similarity and semantic comparison
Multi-language support (18 languages)
Deterministic results (reproducible outputs)
Pure Python implementation with zero heavy dependencies
Lightweight 42 KB footprint
Local processing (no external API calls)

BlackMount-ai/blackmount-nlp-mcp

What it does

How to set up

Key features

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