Create knowledge graphs from multiple YouTube videos to visualize concept relationships and connections across content.
MIT
162,878 tools. Last updated 2026-05-30 13:25
"Understanding Integrated Knowledge Graphs" matching MCP tools:
- Retrieve all knowledge graphs you own with metadata like IDs, titles, and timestamps using the Mnemosyne MCP server.
- Export knowledge graphs in multiple formats (JSON, CSV, GraphML, etc.) with optional filtering, compression, and streaming for large datasets.MIT
- Scrape Google search results to extract organic listings, ads, knowledge graphs, and rich features. Use for SEO, keyword research, and data enrichment like finding profiles, emails, or company details.MIT
- Store user facts, preferences, decisions, and context for persistent recall across conversations. Enables AI agents to remember important information through semantic search and knowledge graphs.MIT
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceAn 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 updated52MIT
- AlicenseAqualityCmaintenanceEnables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.Last updated15111MIT
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.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
- Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.MIT
- Access and retrieve the entire knowledge graph stored in the Knowledge Graph Memory Server to maintain persistent user information across interactions.MIT
- Upload text documents to a knowledge group for storage and management.MIT
- Delete a knowledge document from Anam AI using its unique ID. Removes the specified document from your knowledge base.MIT
- Add multiple entities to the knowledge graph, specifying name, type, and associated observations, to enhance memory storage in the Knowledge Graph Memory Server.MIT
- Add structured information to a Postgres knowledge base for organized storage and retrieval. This tool enables users to input content with metadata like domain, source, and tags to build a searchable knowledge repository.MIT
- Remove nodes from knowledge graphs to eliminate incorrect, redundant, or unnecessary data while automatically unlinking associated resources and relationships.MIT
- List analytics modules and capabilities for each integrated platform to determine available deep analytics actions.Apache 2.0
- Store and organize persistent memories about people, projects, and concepts with custom categories. Create separate knowledge graphs for different contexts like work or personal.MIT
- Move an incorrectly captured raw note to an excreted tombstone with a reason and timestamp, preserving an audit trail. Refuses to act on integrated or distilled notes.
- Retrieve and filter knowledge graphs to obtain graph IDs and node information for subsequent operations like adding edges or querying node details.MIT
- Promote raw notes from the intake queue to the integrated knowledge layer. Use for bulk session-end integration or single high-priority notes.
- Explore the knowledge graph hierarchy from a starting node, viewing three levels of children to understand knowledge organization before searching or saving.MIT
- Retrieve recent terminal output by name or index. Get the last lines of a VS Code integrated terminal for debugging or monitoring.MIT