Keyphrases Mcp is an MCP (Model Context Protocol) server that enables autonomous AI agents and MCP-compatible clients to extract high-quality, diverse keyphrases from text documents using a BERT-based pipeline. It exposes tools that process local files, return only extracted keyphrases (never file content), and supports flexible prompt-based workflows such as keyword extraction with custom filtering (like ignoring stop words). It seamlessly integrates with agentic AI systems like Claude, Cursor, and others, making it valuable for automating document tagging, topic discovery, and providing features for downstream NLP tasks. Ideal users include developers, data scientists, and organizations looking to enhance document organization, trend analysis, and automated metadata generation in digital workflows.
Visit Keyphrases Mcp's official website for product details and getting started.