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
337,950 tools. Last updated 2026-07-30 03:22
"Converting Natural Language to SQL Queries" matching MCP tools:
- Find financial data endpoints by searching the Sugra catalog with natural-language queries.MIT
- Search software products by name, keyword, category, or natural language query to get ratings, pricing, and free plan details.MIT
- Query structured memory with natural language, supporting GROUP BY, JOIN, and aggregation. Returns rows and compiled SQL; destructive operations require confirmation.
- Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.Apache 2.0
- Retrieve existing SQL queries that match a natural language question from Peaka's golden SQL vector store to reuse verified solutions.Apache 2.0
Matching MCP Servers
- Flicense-qualityDmaintenanceA secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.Last updated14
- Flicense-qualityBmaintenanceTranslates plain English questions about infrastructure operations into SQL queries, executes them against a database, and returns the real answer.Last updated
Matching MCP Connectors
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- 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
- Retrieve SQL best practices, indexed columns, optimization tips, and expensive operations to avoid for efficient 3DCityDB queries.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
- Search saved PRDs using natural language queries to find documents by topic, feature, or service name.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
- Query live data sources using natural language to retrieve real-time ground truth data. Your question is translated into SQL or API calls.MIT
- Assembles SQL-ready context for a natural language question by retrieving relevant tables, columns, foreign keys, business glossary, and example queries.MIT
- Answers natural-language questions by generating and verifying MDX queries against a cube, returning results or abstaining when candidates disagree.Apache 2.0
- Execute SQL queries or run saved cards against Metabase databases to fetch data. Supports custom SQL and card parameters with configurable row limits.MIT