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109,613 tools. Last updated 2026-04-18 01:56
- Export AI skills to Qdrant vector database format for efficient vector search and payload filtering, enabling RAG knowledge integration.MIT
- Search for entities in your knowledge graph memory using semantic meaning and vector similarity to find relevant information based on conceptual relationships.MIT
- Run read-only health checks on the memory database to detect vector dimension issues, orphan records, tier distribution problems, and conflict backlogs. Use for diagnosing data quality issues or before consolidation runs.MIT
- Export skills to Weaviate vector database format for production RAG applications, enabling hybrid search with vector and keyword capabilities.MIT
- Retrieve vector embeddings for entities stored in a knowledge graph memory system to enable semantic search and analysis.MIT
Matching MCP Servers
- -securityAlicense-qualityA secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.Last updatedMIT
- -securityAlicense-qualityProvides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.Last updatedMIT
Matching MCP Connectors
AI memory with 53 tools. Knowledge Graph, semantic search, Magic Link auth. Free tier.
MCP server providing developer tools data including npm packages, Stack Overflow Q&A, GitHub trending repos, and code snippets for AI agents.