MCP servers for documentation and knowledge bases: Notion, Confluence, wikis and library docs, so your AI assistant answers from real sources. 2.133 servers in dieser Kategorie.
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Lets AI agents read, update, and manage company documentation and engineering guidelines through a centralized GitHub-based repository.
Provides an AI agent with direct access to China's GB/T 47746—2026 national standard for AI customer service compliance.
Allows an AI client to query a corpus of historical events extracted verbatim from cited Wikipedia revisions.
Provides local semantic and keyword search for Markdown documentation, allowing coding agents to retrieve context and save session decisions.
Enables AI clients to search the National Parliamentary Library of Georgia, retrieve metadata, and render historical newspaper PDF pages as JPEGs.
Provides a self-hosted enterprise knowledge hub that compiles organizational documents into a structured wiki for AI clients via MCP.
Guides an AI client through building, evaluating, securing, and shipping LLM agent systems with templates, provider adapters, and blueprints.
Lets an AI client read EPUB and PDF ebooks, extracting metadata, tables of contents, and chapter or page content as Markdown.
Saves, searches, and summarizes chat history in local memory slots so AI clients keep context across sessions.
Maps codebases offline by generating HTML wikis and dependency maps that show how repositories, modules, and symbols interact.
Lets an AI assistant query U.S. Census Bureau demographic data and interpret it with statistical context and caveats.
Syncs Canvas course content into a local Obsidian vault with transcribed lecture notes and a concept graph for AI-powered studying.
Enables AI clients to search, read, and analyze local Calibre ebook libraries using full-text, semantic, and metadata search.
Compiles documents into a citation-backed Markdown wiki that an AI client can query and navigate via MCP.
Lets an AI client read real-time documentation and API signatures directly from installed Python packages to prevent hallucinations.
Enables AI clients to search and retrieve content from published MkDocs sites using BM25 search over HTTP.
Enables an AI client to search and read official Spanish BOE documents and recorded tender reports using offline static snapshots.
Provides AI coding agents with temporal memory of design decisions, constraints, and code history via MCP.
Generates verified technical documentation from code with file and line citations for Java, Python, and TypeScript.
Turns Markdown directories into an addressable node graph that AI agents can search, read, and verify via MCP.
