Retrieve saved natural-language to SQL example pairs for a database connection to guide SQL generation.
MIT
606,944 tools. Updated 2026-09-24 12:29
"Natural Language to SQL Generation Tools" matching MCP tools:
- Search software products by name, keyword, category, or natural language query to get ratings, pricing, and free plan details.MIT
- Find AI agent tools on the invok.it marketplace using natural language queries. Filter by category, quality score, and price per call to pinpoint the right tool.MIT
- Use natural language to search available AlgoChains tools and return top relevant matches with descriptions, minimizing context usage versus listing all tools.MIT
- Find tools using natural language. Submit a query to get matching definitions ranked by relevance.Apache 2.0
- Find Beyond Identity API tools by keyword or natural-language query to discover which actions are available for managing identities, groups, applications, SSO, and credentials.Apache 2.0
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceMCP 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
- AlicenseNot gradedqualityAmaintenanceProvides safe, configurable SQL database access via MCP tools, enabling schema introspection, predefined queries, and structured updates with multi-backend support.2MIT
Matching MCP Connectors
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
Leads from agents: hops attributed with a per-hop utm_id from discovery to trial to invoice.
- Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.Apache 2.0
- Answer a natural-language question by reading a webpage and the pages it links to.MIT
- Process natural language queries to obtain structured data on leads, contacts, and opportunities. Supports table, natural, or combined response formats.MIT
- Convert natural language descriptions into standardized file names using AI-driven naming conventions for microservices architecture.MIT
- Query live data sources using natural language to retrieve real-time ground truth data. Your question is translated into SQL or API calls.MIT
- Turn natural-language questions into executed SQL queries against a database, returning results, row counts, and self-correcting errors while exploring the schema.MIT
- Discover aerospace MCP tools by name or description using natural language or regex search, with optional category filter.MIT
- Searches all connected MCP servers to find tools matching a natural-language query, returning their definitions as JSON.MIT
- Find relevant tools for a task by describing what you want in natural language. Results are ranked by hybrid graph-based retrieval, with previously used tools deprioritized to surface new candidates.MIT
- Translate a natural-language question into an SQL statement using an LLM. Review the generated SQL before executing it with run_sql.MIT
- Ask a question in plain English. The tool translates it into SQL, queries databases or documents, and returns the answer along with the generated SQL and source citations.-
- Analyze natural-language questions to extract relevant schema, match similar few-shot examples, assess complexity, and request clarification before executing SQL queries.MIT
- Discover available tools across connected MCP servers using natural language or regex queries. Search tool names, descriptions, and arguments to find and load the right tool references.MIT
- Ask natural-language questions about your registered tables. Returns a concise answer with the executed SQL for verification, handling ambiguous questions by asking for clarification.Apache 2.0
- Discover Datadog MCP tools by natural language query. Returns matching tool names and descriptions to help you navigate and call the appropriate tool.MIT