Retrieve all unique memory labels with their counts to gain an overview of the knowledge graph structure.
MIT
109,471 tools. Last updated 2026-04-17 21:45
- Generate a statistical overview of your local knowledge base, including capture counts, top tags, open questions, key insights, and date range.
- Retrieve a comprehensive list of applications and services running on a specific Coolify server to monitor deployed resources and maintain system overview.MIT
- Create knowledge graphs from multiple YouTube videos to visualize concept relationships and connections across content.
- Retrieve company information, offerings, and knowledge schema overview to understand available data in the workspace.MIT
- Export knowledge graphs in multiple formats (JSON, CSV, GraphML, etc.) with optional filtering, compression, and streaming for large datasets.MIT
Matching MCP Servers
- -securityAlicense-qualityAn 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 updated40MIT
- AsecurityFlicense-qualityTransforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.Last updated1051
Matching MCP Connectors
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.
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.