"sql server" matching MCP servers:

Read-only access to a self-hosted GeoLens geospatial catalog: dataset search, schemas, GeoJSON features, saved maps, and sandboxed read-only SQL over PostGIS.

Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.

Enables AI agents to inspect and repair GIS parcel datasets and to query a redacted DuckDB results store, including table listing, guarded SQL queries, governed metrics, issue lookups, case explanations and run comparisons. Repairs are always written to a new copy and every tool call is logged.

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 querying City of Asheville open geospatial data (parcels, zoning, etc.) through ArcGIS Feature Services. Supports searching datasets, querying layers with SQL-like filters, and retrieving layer schemas.

Enables AI agents to search, explore, and analyze Québec open data (Données Québec, Ville de Montréal, IGO) via natural language, including SQL queries, geocoding, and spatial operations.

Enables querying City of Lubbock open geospatial data (parcels, zoning, public works) through ArcGIS Feature Services, including searching datasets, querying layers with SQL-like filters, and retrieving schema info.

Connects QGIS to any MCP-speaking AI agent, exposing 125 tools that let the agent manage layers, edit features, run processing algorithms, render and style maps, author layouts and atlases, query across layers with SQL, and administer the QGIS session. Works with any MCP client and QGIS 3.28–4.x.

Enables querying Glasgow City Council GIS open geospatial datasets (parcels, zoning, public works) via natural language or direct tools: search datasets, query layers with SQL-like filters, and retrieve layer schemas.

Converts raster and vector geospatial data into H3-indexed Parquet files and serves them via a local MCP server with DuckDB SQL querying.

Enables querying and searching Lancaster County, Pennsylvania open geospatial datasets (parcels, addresses, zoning, public works) via ArcGIS Feature Services. Supports dataset search, layer query with SQL-like filters, and schema retrieval.

Enables searching and querying City of Carlsbad, California open geospatial datasets (parcels, zoning, public works) via ArcGIS Feature Services. Provides tools to search datasets, query layers with SQL-like conditions, and retrieve layer schema.

Enables searching and querying Adams County, Colorado open geospatial datasets (parcels, addresses, zoning) via ArcGIS Feature Services, with tools for dataset discovery, schema inspection, and SQL-like queries.

Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.

A geographic ontology layer MCP server that exposes hierarchical relations, topological adjacency, toponym disambiguation, spatial operations, and geo-constraint verification, enabling LLMs to reason with geographic structures instead of raw SQL.

Enables local AI-powered retail location intelligence by exposing database schema and spatial query tools to LLMs. It supports executing validated SQL, retrieving example spatial analyses, and generating strategic business insights from retail siting data.

Enables any MCP-capable agent to read and write a local personal timeline — GPS tracks, photos, workouts, health metrics, and stays — through seven indexed tools for monthly timelines, cross-modal lookups around a moment, geo-track retrieval, atlas exports, and idempotent JSONL ingestion. All data stays in a single on-device SQLite file, with no arbitrary SQL and no cloud.