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280,793 tools. Last updated 2026-07-10 04:55

"A server for performing natural language queries in Jira" matching MCP tools:

  • Search mathlib for formal Lean theorem names and types via Loogle pattern queries or LeanSearch natural language. Use to find declarations for verification.
    Apache 2.0
  • Search over 494 software products by name, keyword, category, or natural language query to find tools with ratings, pricing, and free plan availability.
    MIT
  • Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.
    Apache 2.0
  • Ask natural-language questions about your ledger to get free-form answers, mapping plain English to internal filters for read-only exploration.
    MIT
  • Search code repositories semantically using vector embeddings to find relevant code symbols by natural language queries, with optional language filtering.
    MIT

Matching MCP Servers

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    Last updated
    4

Matching MCP Connectors

  • 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
  • Search memories using natural language queries to retrieve relevant preferences, decisions, and patterns from past sessions.
    MIT
  • Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.
    MIT
  • Retrieve precise API documentation, signatures, parameters, return types, and code examples for any npm package using natural language queries.
    MIT
  • Query a knowledge graph for relationships and facts using natural language, entity, or relation type. Supports temporal queries and configurable graph depth.
    MIT
  • Search stored memories using natural language queries. Filter by tags and set a minimum similarity score.
    MIT
  • Continue product listing conversations by providing product details in natural language. Use to iteratively describe a product before final submission.
    MIT
  • Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.
    Apache 2.0
  • Run natural language queries on structured records extracted by a sift to answer specific questions.
    MIT
  • Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.
    MIT
  • Search the web and return results in natural language format using the Exa AI Search API. Provide a clear objective and optional keyword queries to find specific information.
    MIT
  • Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.
    MIT