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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Enables AI agents to query official Taiwan medical data including CDC specimen rules, NHI reimbursement points, and TFDA medical device licenses.
Enables AI agents to capture, search, and cite company knowledge through a self-hosted, permission-aware knowledge layer.
Converts PDFs, scans, and Office files into high-quality Markdown by orchestrating multiple parsing engines and repairing broken pages with OCR.
Enables Claude to read and search the GLU Web Development Notion site, including assignments, subpages, external links, and images.
Exposes a typed, provenance-aware knowledge graph over an Obsidian vault to coding agents via MCP.
Enables AI clients to manage per-customer PDF documents using RAG with support for OCR, vision-based chart analysis, and cited answers.
Enables semantic search and structured metadata queries over personal documents, emails, and records using pgvector and OpenAI-compatible embeddings.
Provides a local knowledge base for projects using RAG and tool-use to answer questions via semantic search and project metadata.
Enables AI clients to search academic papers in Levant archaeology and the wider humanities using specialized DAO sources and cross-platform adapters.
Turns a codebase into a queryable knowledge base so AI assistants can search code, trace calls, and inspect architecture.
Lets an AI client search and retrieve web crawler data and archives with boolean queries and field filters.
Lets AI agents call 250+ developer tools as Python code through one MCP server, with a proxy for existing MCP servers.
Turns documents into a git-versioned markdown knowledge graph that AI agents can navigate via MCP using curated summaries and typed edges.
Enables AI clients to search and retrieve information from indexed websites, git repositories, and local markdown folders using a multi-tenant architecture.
Indexes Markdown vaults into searchable scopes for AI clients using local lexical and vector search.
Turns Git repositories into a searchable, source-grounded knowledge base with a structured code graph and wiki for humans and AI agents.
Provides a curated, bilingual list of Claude Code tools, MCP servers, agent skills, and ecosystem resources for developers.
Enables an AI client to capture, organize, and query work journals using local markdown files and structured metadata.
Provides an Obsidian-style Markdown knowledge base with bi-directional wikilinks and full-text search for AI agents via MCP.
Provides an offline, self-hosted knowledge memory for AI agents using Kiwix archives, Wiki.js, and pgvector via MCP and REST.