Query relationships and source memories for entities in a knowledge graph to retrieve structured semantic information.
MIT
101,563 tools. Last updated 2026-04-10 14:09
- Query relationships and paths within a knowledge graph to analyze connections and retrieve structured information from documentation.MIT
- Find nodes in a knowledge graph by searching entity names, types, and observation content with a query.JavaScriptMIT
- Find nodes in a knowledge graph by searching entity names, types, and observation content with a query to retrieve relevant information.MIT
- Find nodes in the knowledge graph by matching entity names, types, and observation content against a search query.MIT
- Remove an entity edge (fact) from a Neo4j knowledge graph by specifying its UUID to manage graph data.MIT
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Matching MCP Connectors
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.