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 access to open data regarding Ukrainian educational institutions, territorial affiliations, and education budget expenditures.
$claude mcp add --transport http ukraine-schools-mcp https://mcp.edeputat.com/schools/mcp
Provides sourced and citable definitions of prompting and LLM techniques along with their primary sources and relationships.
$claude mcp add --transport http protologue https://mcp.protologue.com/mcp
Provides coding agents with a live knowledge graph of codebases to retrieve intent, co-change context, and architectural relationships.
Generates Sphinx documentation for MCP tools, prompts, resources, and resource templates.
Provides AI editors with code rationale by synthesizing git history, pull requests, and call-graph context.
Transforms documents into a structured, searchable knowledge system using local vector search and multi-collection isolation.
Lets an AI client look up ESG-relevant laws in force at specific locations and dates using a versioned git history.
Lets an AI client ingest, manage, and review canonical knowledge stored in a local-first SQLite database on macOS.
Allows AI coding agents to lookup, search, and read source-quoted technology research to reduce documentation re-reading and token usage.
Syncs Slack, GitHub, and Notion into a local knowledge graph to provide searchable team memory for AI clients like Claude and Cursor.
Search Polish Constitutional Tribunal judgments and retrieve full HTML text from the official government website.
Provides a self-hosted semantic layer and knowledge graph that allows AI agents to propose definitions and relationships for human review.
Allows AI assistants to search, read, write, and comment on pages within a Densho self-hosted knowledge base workspace.
Allows an AI client to search Revit API documentation and 15 years of The Building Coder blog posts for technical details and code remarks.
Provides an AI knowledge base by indexing Wikipedia, OpenStreetMap, and GeoNames into a local SQLite database for offline retrieval via MCP and REST.
Provides AI agents with high-quality access to Schneider Electric EcoStruxure Building Data Platform API documentation, code samples, and Brick schema guidance.
Connects literature claims to traceable source passages and provides deterministic verification for AI agents.
Turns Windows documents into a verifiable Neo4j knowledge graph to enable hybrid search and context retrieval for LLM clients.
Allows AI assistants to look up current German federal and state laws to provide accurate legal citations instead of relying on memory.
Analyzes ADRs, RFCs, and design notes to map architectural decisions and preview the impact of alternative component choices.