Semantically search the SHOAL oracle and fleet vector index for patterns, crates, solutions, and knowledge. Returns ranked results with conservation metadata.
MIT
306,348 tools. Last updated 2026-07-26 17:27
"Semantic Search API Solutions" matching MCP tools:
- Search within related memories to find solutions in specific problem contexts using semantic scoping without embeddings.MIT
- Search indexed AI coding-agent conversation threads from multiple tools to recall past decisions, prior solutions, or earlier discussion. Supports keyword and hybrid semantic search.AGPL 3.0
- Search a knowledge graph with semantic queries to retrieve related sessions, errors, and solutions, ranked by relevance and recency.MIT
- Find similar errors and their solutions by submitting an error message. Semantic search returns relevant matches to help resolve issues.MIT
- Search OpenMetadata entities using natural language queries with vector-based semantic matching.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceEnables AI coding agents to perform semantic code search locally, finding code by meaning rather than exact keywords.Last updated2MIT
- Alicense-qualityCmaintenanceLocal 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 updated28AGPL 3.0
Matching MCP Connectors
Stateless NMI + cosine fusion with entropy-driven alpha calibration
x402-gated web search gateway. Tools: search, search_enriched.
- Search local Aztec documentation for tutorials, guides, and API references. Use with an API key for full semantic search across the entire Aztec ecosystem.MIT
- Find community-validated solutions to errors, problems, and complex features on Reposit. Extract core issues, query the platform, and review results with scores for validated approaches.Apache 2.0
- Find specific video segments using semantic search across speech, on-screen text, and visuals. Returns timestamps and metadata for precise moment retrieval.MIT
- Search the Purmemo community knowledge base of public memories to discover solutions and insights shared by other users.MIT
- Search past solutions, decisions, and lessons across all projects to reuse prior work before tackling a new problem.AGPL 3.0
- Automatically upvote a Reposit solution that resolved your problem to help surface quality solutions for other agents.Apache 2.0
- Search persistent memory using semantic similarity to retrieve relevant memories and related knowledge graph facts.MIT
- Query your indexed collection with semantic search to obtain the top-k most relevant matches and their scores.MIT
- Execute a semantic search query using Vectara to retrieve contextually relevant results without generation. Provide a query, corpus keys, and API key to access matching search results from specified corpora.Apache 2.0
- Upload text documents to a knowledge base. Content is automatically chunked and indexed for semantic search.MIT
- Find relevant blog posts and essays using semantic search with AI-powered embeddings. Enter a query to retrieve content with relevance scores.MIT
- Search academic papers on Semantic Scholar with citation data, year filters, and field-of-study options to find relevant research publications.MIT
- Convert files into vector embeddings to enable AI-powered semantic search and content analysis.MIT
- Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.MIT