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521,454 tools. Updated 2026-09-06 11:20

"Converting Natural Language to SQL Queries" matching MCP tools:

  • Ask natural-language questions about the ledger and receive free-form answers. Maps plain queries to structured filters for read-only reporting.
    MIT
  • Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.
    Apache 2.0
  • 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

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that translates natural-language questions into SQL, validates every query structurally, and executes approved read-only queries against a SQLite database, returning results and rejections.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    MCP server enabling natural-language querying of SQLite databases via schema discovery, GraphRAG retrieval, and safely guarded read-only SQL execution.
    -

Matching MCP Connectors

  • Search memories using natural language queries to retrieve relevant preferences, decisions, and patterns from past sessions.
    MIT
  • Reveals tables that co-occur in SQL queries, exposing natural JOIN relationships and data affinity patterns. Use to find related tables or common workflows.
    MIT
  • Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.
    MIT
  • Search stored memories using natural language queries. Filter by tags and set a minimum similarity score.
    MIT
  • Run SQL queries to analyze, modify, or troubleshoot Heroku PostgreSQL databases. Execute commands or file-based queries with credential management for direct database access.
    Apache 2.0
  • 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
  • Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.
    MIT
  • Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.
    ISC