MCP servers for documentation and knowledge bases: Notion, Confluence, wikis and library docs, so your AI assistant answers from real sources. 2,130 servers in this category.
An AI assistant that answers questions using only verified quotes from the Explain the Data newsletter.
Allows an AI client to browse, search, and typeset a comprehensive quantum chemistry textbook built from physics principles.
Enables AI clients to research Turkish legislation, court decisions, and Constitutional Court rulings directly through local MCP integration.
Enables AI agents to perform local-first knowledge retrieval using hybrid SQLite FTS5 and LanceDB vector search with reranking.
Converts PDFs and scans into clean text and allows an AI agent to read, translate, and search the web for information about your documents.
Allows an AI client to search and retrieve OCR text from the AustriaN Newspapers Online historical archive.
Allows an AI client to search and retrieve full-text indexed newspapers, books, and manuscripts from the Library of Congress JSON API.
An open-source project tracker and wiki that enables AI agents to manage issues, update documentation, and track AI usage costs via MCP.
Search Chinese government and Party documents including Xi Jinping's speeches and articles from 2012 to the present.
$claude mcp add --transport http policy-signal https://policy-signal.onrender.com/mcp
Provides an interactive map and searchable directory of over 3,300 Arabic AI projects, tools, and language models for AI agents to use as reference.
Indexes and searches Markdown vaults as knowledge graphs to provide AI agents with persistent, structured long-term memory.
Organizes personal notes, chats, and articles into a searchable corpus for AI clients to retrieve evidence-based answers.
Lets an AI agent maintain a local, Git-audited Markdown knowledge base of entities and relations through a CLI.
Provides bilingual Hindi and English RAG capabilities to query RBI regulations with mandatory citations for every answer.
Enables AI clients to search and query documentation from static websites built with Hugo and the Relearn theme.
Enables an AI client to perform local retrieval-augmented generation over a directory of files using incremental indexing.
Builds and navigates a hierarchical, fractal knowledge graph to provide structured pathways through complex information for humans and AI.
Processes markdown via AST parsing to transform directives into interactive widgets and audit accessibility compliance.