"Converting Natural Language to SQL Queries" matching MCP servers:

MCP server for consulting vehicle data from DETRAN TO official source. Read-only, pay-per-use, works with any MCP-compatible client.

Enables natural language queries to official dental council registration data in Tocantins, Brazil. Read-only, hosted, and works with any MCP client.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

Enables consultation of negative debt certificates (Certidão Negativa de Débitos) from the Palmas, TO city government through an official source.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Enables real-time domain registration lookups via RDAP, including availability, expiration, and registrar details, with no API key required. Supports natural language queries like 'is example.com available?' or 'when does example.com expire?'.

Enables natural language queries about Swiss mandatory health insurance coverage for medications and medical devices using official BAG lists.

Enables currency conversion and exchange rate lookups using real ECB reference rates, free and without an API key. Supports natural language queries like 'convert 100 USD to EUR' or 'what's the exchange rate between GBP and JPY?'.

Connects MCP-compatible AI clients to BMLT root servers, enabling natural language queries for NA meeting data including search by location, day, format, and more.

MCP server that exposes a Hawaii property pipeline as Claude tools, allowing natural language queries about parcel records, hazards, zoning, ADU eligibility, and more, based on real public data.

Provides access to the Swiss Federal Commercial Register (Zefix) for company search, verification, and reference data, enabling natural language queries for public administration use cases.

Enables access to World Bank Data360 API with 1000+ economic and social indicators across 200+ countries and 60+ years of historical data, allowing searches, temporal coverage checks, and filtered data retrieval through natural language queries.

MCP server that provides AI assistants access to Oklahoma Corporation Commission public GIS datasets, enabling dataset search, layer metadata retrieval, and attribute/spatial queries on ArcGIS Hub data.

An MCP server that lets AI agents search, save, preview, download, and cart satellite scenes from ISRO's Bhoonidhi portal in natural language, with search and saved queries requiring no login and downloads/cart operations using an out-of-band session.

Enables natural language queries of U.S. Census Bureau data, translating plain English questions into proper API calls and returning demographic, economic, and housing statistics with proper statistical interpretation and context.

MCP server providing read access to Swiss public procurement data via the official simap.ch API, covering all cantons and the Confederation with intraday updates. It enables searching tenders, awards, construction codes, and procurement offices through natural language queries.

Provides AI agents with Korean national fiscal data (budgets, settlements, and fiscal programs) from multiple government APIs through 7 tools, enabling natural language queries.

Enables agents to discover and access Norwegian open government data by asking questions in natural language, performing filtered searches, running SPARQL queries, and downloading actual dataset files from publishers.