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Keyword Extractor Ai Mcp

csoai-org/keyword-extractor-ai-mcp

A keyword extraction toolkit that runs TF-IDF, RAKE, and YAKE algorithms locally via MCP. You get semantic relevance scoring and search volume estimation without hitting external APIs. Install it via pip or Smithery, then use it to pull keywords from documents, articles, or user-generated content when you need structured metadata or SEO insights. The project emphasizes EU AI Act compliance with built-in bias detection and transparency tooling, which matters if you're building in regulated spaces. Part of the broader MEOK ecosystem, so expect integration points with their governance and safety tools if you're already in that stack.

tools
3
transport
STDIO
last updated
Aug 19, 2026

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

extract_keywords

No parameter schema in public metadata yet.

analyze_density

No parameter schema in public metadata yet.

suggest_tags

No parameter schema in public metadata yet.

Sponsors

Readme

MCP Scorecard: 86/100

Keyword Extractor Ai MCP

MEOK AI Labs EU AI Act License PyPI

Keyword extraction MCP β€” TF-IDF, RAKE, YAKE, semantic relevance, search volume estimation

Keyword extraction MCP β€” TF-IDF, RAKE, YAKE, semantic relevance, search volume estimation. MIT.


πŸš€ Quick Start

# Install via pip
pip install keyword_extractor_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install keyword-extractor-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

πŸ“– Documentation


View the full README on GitHub

Details

Repository
github.com/csoai-org/keyword-extractor-ai-mcp
Package
keyword-extractor-ai-mcp
Transport
STDIO
Registry
MCP registry, active

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