Assembles SQL-ready context for a natural language question by retrieving relevant tables, columns, foreign keys, business glossary, and example queries.
MIT
161,450 tools. Last updated 2026-05-30 02:49
"Converting Natural Language to SQL Queries" matching MCP tools:
- Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.MIT
- Answer natural-language questions by automatically generating and executing SQL, returning a Markdown report with summary, highlights, and data preview.MIT
- Retrieve saved natural-language to SQL example pairs for a database connection to guide SQL generation.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
- Search WormBase for genes, proteins, phenotypes, strains, and other biological entities using natural language queries or specific IDs.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceA 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
- Alicense-quality-maintenanceProvides tools and resources to detect AI-generated writing patterns and refine text for more authentic, human-like communication. It enables users to analyze phrasing via a scoring system and apply conversational guides tailored for platforms like Twitter and LinkedIn.Last updated1
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.
- Save natural language and SQL query pairs to use as few-shot examples for generating SQL from questions.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
- Convert natural language questions into SELECT SQL queries. Specify database ID and question; optionally add context or choose a model.Apache 2.0
- Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.MIT
- Search for LPM packages using natural language or structured filters. Find packages by category, ecosystem, distribution, license, and more.ISC
- Execute natural language queries to retrieve blockchain data from 69+ networks including Ethereum, Solana, and Cosmos chains using Grove's public endpoints.MIT
- Execute SQL queries against YDB databases to retrieve, insert, update, or delete data. Enables AI-driven database operations and natural language interactions.Apache 2.0
- Search for companies using natural language queries to discover businesses by industry, location, funding stage, and other criteria.MIT
- Perform semantic search for skills using natural language queries. Describe what you want to accomplish when keywords aren't sufficient to find relevant skills.MIT
- Find coding traces using natural language queries and tag filters to access shared programming knowledge and solutions.Apache 2.0
- Analyze SQL queries to recommend optimal indexes. Improve query performance by identifying missing indexes.MIT
- Search code by meaning with natural language queries. Returns relevant code chunks, file locations, function names, and call relationships.MIT
- Find existing memories using natural language queries. Search before adding new information to prevent duplicate entries.
- Plan multi-step queries across Canadian government data APIs by breaking natural language questions into structured execution plans with relevant tools.MIT