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.
Provides source-grounded knowledge about the Formly library to coding agents with curated facts, citations, and evidence.
Provides a local retrieval-augmented knowledge base for searching and annotating scientific papers in PBPK and pharmacometrics literature.
Enables AI agents to research Indian law using official government and court records with automated quotation and page verification.
Allows AI assistants to query the Universidad de Extremadura Virtual Campus for assignments, grades, course materials, and announcements.
Provides a local Markdown workspace for AI agents to maintain continuity through project scoping, retrieval, and auditable document edits.
Connects AI coding agents to a permissioned organizational context store for secure access to internal documentation and decisions.
Provides self-hosted retrieval infrastructure for AI assistants to search private corpora and receive grounded answers with precise document citations.
Provides an AI assistant and tools for researching Indian law, including the Constitution, IPC, CrPC, and landmark Supreme Court judgments.
Enables AI clients to perform deep codebase comprehension using a hybrid Graph-RAG approach that combines AST call graphs with vector search.
A local-first RAG framework that lets an AI client search and query personal archives including notes, PDFs, and transcribed audio.
Turns conceptual Markdown or plain text into source-anchored knowledge graphs that can be queried, challenged, and visualized with provenance.
Provides a shared engineering memory for AI agents to record and retrieve software design decisions and rejected alternatives.
Exposes Adobe VIP Marketplace Partner API documentation as searchable, structured tools for AI clients to query endpoints, schemas, and error codes.
Turns your Obsidian vault into an MCP server that AI agents can read, search, and write to using a filesystem fallback.
Maintains project documentation integrity by using a SQLite database as the source of truth and providing hash-verified markdown projections.
Allows an AI client to search, browse, and save notes directly into a Quberi knowledge base.
$claude mcp add --transport http mcp https://mcp.quberi.com/
Provides LLM agents with a compiler-grounded knowledge base for precise codebase navigation and source-backed documentation retrieval.
Provides an AI client with local, token-friendly access to DaisyUI component documentation and live examples.
Provides a markdown-first knowledge base and organizational simulation for managing agent profiles, skill specifications, and LLM engineering pipelines.
Provides a workflow and knowledge layer for teams using Claude Code by managing repo-scoped context and filing facts into issues, PRs, and wikis.