Reconstruct memory state at a past timestamp to run semantic search queries. Understand how agent context evolved over time.
MIT
760,319 tools. Updated 2026-11-09 13:39
"A tool to evaluate the suitability of semantic search queries" matching MCP tools:
- Generate targeted Boolean queries, semantic synonyms, and sub-question expansions from ambiguous prompts to overcome vocabulary mismatches and expand search recall.MIT
- Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.MIT
- Create a semantic catalog to group saved queries as queryable tables under one namespace in a Peaka project. Returns the new catalog's ID.MIT
- Find skills that match your task description using semantic search, with fallback to keyword matching from GitHub.MIT
- Retrieves the PDBe Solr search schema to show available fields and types, helping you construct effective search queries for the PDBe search service.Apache 2.0
Matching MCP Servers
- AlicenseAqualityBmaintenanceEnables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.32BSD 2-Clause "Simplified"
- AlicenseAqualityDmaintenanceProvides semantic code search over codebases using local embeddings with natural language queries. Supports hybrid search, file watching, and respects .gitignore.116MIT
Matching MCP Connectors
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
Free, deterministic recommendations for PDF table-extraction workflows. Matches document type, operating system, hardware, setup preferences, table layout, privacy requirements, and commercial-use needs against source-reviewed evidence. Returns ranked matches, exclusions, unknowns, source dates, and explicit abstention when evidence is insufficient. Does not accept PDFs or perform extraction. Recommendations are documentation-based, not hands-on benchmarks. Free prototype; no payment required.
- Search all stored transcriptions using keyword or semantic modes to find matching segments, with options for context, deduplication, and export.MIT
- Find the right integration tool for any task by searching available actions with semantic search. Describe what you want to do and get relevant tool suggestions.MIT
- Search your knowledge base and persistent memories via hybrid semantic search. Retrieve relevant memory entries with natural language queries to answer questions and recall information.Apache 2.0
- Search the RAG corpus with semantic and keyword hybrid search to find relevant content marketing ideas.MIT
- Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.MIT
- Find discourses about concepts by merging exact keyword matching with semantic search, catching suttas that discuss a topic using varied vocabulary.MIT
- Search your locally downloaded arXiv papers for semantic matches using a free-text query or a paper ID to find similar research.Apache 2.0
- Search past tool responses and card templates using semantic similarity, filters, or analytics queries. Retrieve usage history and stored results from the local vector store.Apache 2.0
- Search specific Turkish statutes' articles using keyword queries with Boolean operators or semantic AI search for natural language questions.MIT
- Find documents in your Scrivener project by searching content or titles with full-text, semantic, or regex queries. Supports case sensitivity, metadata fields, and trash scope.AGPL 3.0
- Search your locally downloaded arXiv papers by semantic meaning. Use a natural-language query or a paper ID to retrieve the most relevant papers from your collection.Apache 2.0
- Enable semantic search for a single keyspace and backfill existing records so stored data becomes queryable by meaning. Specify an optional model or JSON field when you need to embed only part of the value.MIT
- Replay a past session's chronological tool-call timeline by session ID, or search archived host transcripts with keyword/semantic queries and expand snippets to exact masked conversation text.MIT
- Find Pāli texts by meaning using vector similarity. Use for pure semantic matches, fine-tuning thresholds, or debugging keyword versus semantic results.MIT
- Retrieve a compressed semantic Markdown of the webpage's accessible structure, stripping non-semantic HTML noise to enable precise interaction via stable element IDs.MIT