Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.
MIT
134,751 tools. Last updated 2026-05-25 19:44
"Natural Language to SQL Conversion Tools or Resources" matching MCP tools:
- 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
- Save natural language and SQL query pairs to use as few-shot examples for generating SQL from questions.MIT
- 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
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
- AlicenseBqualityFmaintenanceWeb scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.Last updated2291MIT
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- Generate code files by specifying requirements in natural language; choose automatic write or review with Claude.Apache 2.0
- Discover aerospace MCP tools by name or description using natural language or regex search, with optional category filter.MIT
- Find relevant tools for any task by describing what you need in natural language. Previously called tools are deprioritized to show new results.MIT
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- Generate project-consistent identifier names from a natural language description. Uses actual conventions like prefixes and patterns to suggest names that fit the existing codebase style. Use when naming functions, variables, or parameters.MIT
- Analyzes natural language tasks to recommend appropriate Optimizely DXP MCP tools with suggested parameters, helping users select the right tool for their workflow.MIT
- Routes natural language tasks to recommended tools with activation order and example arguments for automated workflow discovery and guidance.AGPL 3.0
- Convert HL7 v2 segments and fields to FHIR R4 resources for healthcare data interoperability, providing mapping details and conversion guidance.MIT
- Convert natural-language cloud architecture descriptions into ready-to-use Terraform HCL files for Azure, AWS, or GCP deployments.MIT
- Find sales APIs, tools, and MCP servers by searching with natural language queries like 'lead enrichment API' or 'free CRM with webhooks'. Filter results by category, free tier, or MCP support.MIT
- Routes natural-language engineering questions to the appropriate named tool, with fallback to free-form response.Apache 2.0
- Analyzes natural language queries to identify the appropriate tool and parameters within the MCP Agile Flow server, enabling streamlined interaction with agile development workflows.
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