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
337,337 tools. Last updated 2026-07-30 01:30
"Natural Language to SQL Conversion and Executing MySQL Queries to Retrieve Data" matching MCP tools:
- Find financial data endpoints by searching the Sugra catalog with natural-language queries.MIT
- Validate SELECT SQL statements against your live database to check syntax, column references, and join resolution without executing any rows.MIT
- Execute read-only SQL queries against RawTree data to retrieve JSON rows, column metadata, and query statistics for analysis or verification.MIT
- Execute SQL SELECT queries on a Bauplan data catalog table and save results to a CSV file, providing the output file path.MIT
- Retrieve all scheduled SQL queries from Panther for recurring analysis, reporting, and monitoring tasks.PythonApache 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-qualityCmaintenanceA Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.Last updated2
Matching MCP Connectors
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.
Convert any public webpage to a PDF. Single narrow tool, not a bloated PDF toolkit.
- Insert data into watsonx.data by executing INSERT SQL queries on a specified engine, with required catalog and schema names.Apache 2.0
- Search memories using natural language queries to retrieve relevant preferences, decisions, and patterns from past sessions.MIT
- Retrieve existing SQL queries that match a natural language question from Peaka's golden SQL vector store to reuse verified solutions.Apache 2.0
- Execute read-only SQL queries against PostgreSQL, MySQL, or SQL Server. Automatically adapts syntax to the target dialect. Returns results with connection and dialect metadata. Default limit 100 rows.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
- Analyze SQL query execution plans and receive plain-English performance recommendations. Supports PostgreSQL and MySQL.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
- Execute SQL queries on GreptimeDB using MySQL dialect. Read-only by default, with option to allow write operations.MIT
- 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
- Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.MIT
- Execute SELECT queries on IoTDB databases to retrieve time-series data using SQL with TABLE dialect and ISO 8601 time formatting.Apache 2.0
- Converts natural language queries into multi-step SQL analysis plans and executes them against databases to answer complex analytical questions.MIT