Search within related memories to find solutions in specific problem contexts using semantic scoping without embeddings.
MIT
107,774 tools. Last updated 2026-04-15 23:18
- Search archived solutions for resolved errors by matching error messages, signatures, or keywords. Enable semantic search to find similar error patterns across different phrasings.MIT
- Find entities and relations by semantic similarity to search queries, enabling semantic search for information retrieval.
- Search debug history to find past solutions for coding errors, automatically triggered when issues occur.MIT
- Perform semantic search across collaborative documents to find relevant content based on user queries. Specify search terms and limit results for precise document retrieval.MIT
- Search the OpenHive knowledge base for solutions to technical problems using problem descriptions and optional category filters.
Matching MCP Servers
- -securityAlicense-qualityLocal offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.Last updated24AGPL 3.0
- -securityFlicense-qualityA Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.Last updated3
Matching MCP Connectors
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic…
- Parallel Search MCPOAuth
The best web search for your AI Agent