"sql server" matching MCP servers:

Enables MCP clients to query Japanese open data (e-Stat, 国土数値情報, EDINET, 気象庁 etc.) from Queria using SQL.

Enables querying NOIRLab Astro Data Lab's astronomical survey catalogs via ADQL, including table exploration, read-only SQL queries, and cone searches.

Enables AI agents to search and query Nantes Métropole open data datasets (mobility, urban services, environment, geography) using natural language and SQL-like filters.

Enables querying Brussels Open Data datasets through natural language or direct tool calls, including search, metadata retrieval, and SQL-like queries.

Enables querying USDA-NRCS SSURGO soil data by coordinates or SQL, returning map units, named soil series, taxonomy, drainage, slope, depth horizons, and other survey attributes.

Global food & agriculture statistics from the UN FAOSTAT bulk-download corpus, served from a local SQLite mirror with a DataCanvas SQL surface, over MCP.

Enables searching ILOSTAT labour indicators, querying and comparing series, building country profiles, and running read-only SQL over staged dataframes via MCP.

Enables searching and querying Occitanie Region Open Data (data.laregion.fr) using SQL-like ODSQL, with tools for dataset discovery, metadata retrieval, and record queries.

Provides SQL-queryable access to Taiwan's healthcare open data (NHI and Ministry of Health and Welfare procurement) via MCP tools, enabling natural language queries and data analysis.

Provides SQL access to the ANSES Ciqual French food composition database, enabling query of nutritional data for over 3,000 foods with full-text search support.

Model Context Protocol (MCP) server providing access to 155 normalized Japanese public open datasets (10.16M+ records) including GEPS procurement, healthcare, land prices, and DuckDB SQL.

MCP server for Eurostat statistics, enabling seamless search, query, and analysis of over 8,900 EU datasets with support for SDMX, DuckDB SQL, NUTS regional filtering, and CSV export.

Enables an AI client to search Australian federal and South Australian government open data catalogues, inspect a dataset file's schema and sample rows, then run read-only SQL over the full file in a sandboxed DuckDB. Every answer carries the source URL, publisher and licence, with extra tools for ABN checksum validation and Australian financial-year dates.

Enables AI assistants to search, explore, and query San Francisco's open data portal through a standardized interface for public datasets. It supports SQL-like querying via the Socrata platform and includes features like fuzzy column matching and schema caching.

Enables answering questions about Ukrainian open data from the data.gov.ua CKAN portal by searching datasets, inspecting resource schemas, and running read-only SQL aggregates over a single tabular resource. Every data-backed answer is computed from retrieved data and returned with machine-readable provenance, and unsupported or unanswerable requests are refused rather than guessed.

Enables LLMs to answer everyday questions about Charlotte and Mecklenburg County using official open data, covering area crime and crashes, 311 service requests, trash and recycling schedules, zoning and rezonings, code enforcement, capital projects, nearby places and bus routes, plus city budget and salary statistics. It also exposes generic tools for searching, describing, querying, and summarizing any of the portal's roughly 380 ArcGIS datasets by keyword, SQL filter, or location.

Enables agents to explore org-wide context across domains, repositories, and data sources; read and participate in GitHub Discussions; and run read-only SQL queries over public GCS parquet datasets.

Enables natural-language spatial analysis of transmission lines and wildlife/public access lands using Claude, MCP, and DuckDB. Users can ask questions about intersections, distances, buffers, and other GIS operations without writing SQL.

Enables AI agents to query the IRS 990 nonprofit database and OpenRegs federal regulations database via SQL, providing access to nonprofit filings, grants, lobbying, and congressional data.

Enables in-browser analysis of California county H3 hex datasets by exposing DuckDB-wasm tables over MCP tools for dataset listing and SQL querying, reached from a page-side agent loop over postMessage rather than HTTP. Results are computed in a Web Worker with external access disabled, so model-generated SQL stays confined to the loaded local tiles.