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524,762 tools. Updated 2026-09-06 18:04

"Natural Language to SQL Conversion Tools or Resources" matching MCP tools:

  • 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
  • Converts natural language crypto trading requests into structured trading intents for Hashlock Markets, enabling users to describe trades like 'sell 10 ETH for USDC above 4000' or 'buy tokenized real estate with 50k DAI'.
    MIT
  • Converts natural language questions into SELECT SQL queries for specified databases, enabling intuitive data retrieval without manual query writing.
    Apache 2.0

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP 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
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for converting between everyday file formats (CSV, Excel, Markdown, Word), including a GxP-compliant Markdown to Word template. Exposes four conversion tools over stdio.
    Apache 2.0

Matching MCP Connectors

  • 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
  • Turn natural-language questions into executed SQL queries against a database, returning results, row counts, and self-correcting errors while exploring the schema.
    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
  • Query structured memory in natural language to GROUP BY, JOIN, and aggregate, returning rows plus compiled SQL. Destructive plans show a diff and require confirmation.
    -
    Destructive
  • Discover Datadog MCP tools by natural language query. Returns matching tool names and descriptions to help you navigate and call the appropriate tool.
    MIT
  • Answer natural-language questions about project data by generating and running read-only SQL queries. Returns SQL and rows for ad-hoc analytics.
    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