253,274 tools. Last updated 2026-06-30 21:06
"knowledge" matching MCP tools:
- Query the integrated knowledge graph to retrieve structured evidence, references, and context from analyzed PDF assets for medical research.Apache 2.0
- List available data sources in the MongoDB Assistant knowledge base to explore them or obtain filter parameters for searching knowledge.Apache 2.0
- Search MongoDB knowledge base for documentation and expert guidance. Filter by data source and version to get precise answers.Apache 2.0
- Find relevant information by searching a knowledge base with specific queries and result counts.MIT
- Retrieve relevant documents from an uploaded knowledge base to answer company-specific questions. Searches policies, procedures, product specs, and historical data.MIT
- Add text resources to a knowledge base for organizing and storing information within Dumpling AI's knowledge management system.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceLocal knowledge engine for codebases with hybrid search, knowledge graph, and interaction tracking, enabling Claude Code to search and interact with project knowledge locally.Last updated1MIT
- Alicense-qualityCmaintenanceAn MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.Last updated54MIT
Matching MCP Connectors
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
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.
- Analyze code repositories to create dependency graphs and visualize relationships for better understanding of project structure and external dependencies.
- Analyze code repositories to extract and visualize relationships between components, dependencies, and structures using knowledge graphs for better understanding and navigation.
- Extract and export a codebase's knowledge graph from a repository URL in JSON, Mermaid, DOT, or Cypher format to visualize dependencies and relationships for analysis.
- Attach a knowledge base to a bot to provide domain-specific knowledge for improved responses. Set optional priority for retrieval order.MIT
- Create a text knowledge document that workers can reference, such as API docs. The document is chunked and embedded asynchronously for efficient retrieval.MIT
- Retrieve a knowledge document by its unique ID. Access stored information needed for your AI-driven tasks and workflows.MIT
- Retrieve a paginated list of organization knowledge documents. Control results with cursor and limit parameters.MIT
- Remove a knowledge document from the system by specifying its document ID.MIT
- Remove outdated, incorrect, or irrelevant knowledge entries by project, category, age, or full reset. Keep your knowledge base clean and relevant.AGPL 3.0
- Prepare a knowledge backfill for a project by retrieving completed flows and existing ADRs, then use the provided instructions to classify and propose knowledge drafts.MIT
- Discover available knowledge topics in your GitHub-based knowledge base. Use this tool to see what information exists before reading content.MIT
- Insert structured data into a knowledge collection. Validates properties against the collection schema, rejecting unknown keys.MIT
- Report local knowledge index sizes and document budget to manage Odoo knowledge base capacity.MIT
- Ask a question to retrieve AI-synthesized answers from stored video research knowledge, with source citations across multiple collections.MIT