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779,393 tools. Updated 2026-11-13 23:49

"Semantic Search API Solutions" matching MCP tools:

  • Semantically search the SHOAL oracle and fleet vector index for patterns, crates, solutions, and knowledge. Returns ranked results with conservation metadata.
    MIT
  • Search ALL memory: decisions, solutions, facts, lessons from ALL past sessions. 6-stage pipeline: FTS5+BM25 → semantic → fuzzy → graph → (optional) CrossEncoder → (optional) MMR. Default: hybrid mode (BM25 + semantic + RRF).
    MIT
  • Generate embeddings for codebase symbols to enable hybrid semantic search, using local CPU inference without API keys.
    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

Matching MCP Servers

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    Local semantic recall MCP server for citation-integrity workflows. Enables semantic search over a text corpus, returning file paths and page numbers for verification, with 100% local processing using ONNX embeddings and LanceDB.
    3
    1
    MIT

Matching MCP Connectors

  • List, search, and retrieve architecture patterns, solutions, and common issues to accelerate engineering problem-solving.
    GPL 3.0
  • Search past Claude Code session transcripts semantically to find previous discussions, solutions, or context from coding sessions. Retrieve matching content with session metadata for navigation.
    -
  • Find documentation, code examples, API references, library versions, or error solutions by searching the live internet with a query.
    Apache 2.0
  • Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.
    MIT
  • Find Amazon Business API documentation using natural language queries. Search across API schemas, authentication guides, implementation examples, and troubleshooting resources to get relevant documentation snippets for integration development.
    Apache 2.0
  • Index a dataset so text chunks become searchable. Splits content into RAG-ready chunks and generates embeddings for semantic retrieval.
    MIT
  • Search AnyAPI's API catalog by keyword, category, or platform. Get ranked matches with descriptions to find the right scraping or data API for your task.
    Apache 2.0
  • Rebuild the semantic search index from stored sessions. Used after Pro activation or to recover from a corrupted index.
    Business Source 1.1