"ArcGIS" matching MCP servers:

Secure, local-first MCP server exposing ArcGIS Pro's ArcPy engine over stdio JSON-RPC.

Lets AI assistants control a live ArcGIS Pro session through arcpy, including layer management, attribute queries, geoprocessing, symbology, and export.

It enables MCP clients to execute ArcPy-based GIS workflows within configured permission and path boundaries, manage projects, maps, layers, layouts, data, spatial analysis, networks, and publishing. It can also attach to a live ArcGIS Pro session when explicitly requested, while failing closed for unauthorized or unintended operations.

Enables AI assistants to externally drive a running ArcGIS Pro instance to run GP tools and Python, with real-time human-readable feedback in the Pro panel.

Exposes ArcGIS Pro geoprocessing capabilities to LLMs via the arcpy library, enabling automated spatial analysis and data management. It provides a comprehensive suite of tools for vector geoprocessing, terrain analysis, and raster operations designed for GIS workflows.

Drives a live ArcGIS Pro session from Claude via arcpy, enabling layer listing, dataset description, geoprocessing, and project inspection directly against an open project.

Drive Esri's ArcGIS Pro from an AI agent — the ArcGIS Pro counterpart to QGIS MCP. A headless ArcPy CLI plus an in-process .NET 8 add-in that exposes the live Pro session as MCP tools (ping, zoom_to, query, run_gp, export_layout) so an agent drives the running project while you watch.

Enables natural-language control of a live ArcGIS Pro session, including layer management, geoprocessing, feature querying and editing, map layout export, and publishing hosted feature services.

Enables DeepSeek Harness models to directly call local ArcGIS Pro via MCP tools for reading projects, layers, GDB structures, and executing Buffer/Clip/custom ArcPy operations locally.

Enables AI assistants to directly operate ArcGIS Pro through natural language, giving access to 2,500+ spatial analysis tools across 46 toolboxes via the Model Context Protocol.

Enables MCP-capable assistants to control an open ArcGIS Pro project locally over TCP 127.0.0.1, with 68 commands and 167 tools for layers, editing, symbology, layouts, geoprocessing, and arcpy execution.

A local MCP server that enables AI clients to read ArcGIS Pro project information and execute ArcPy geoprocessing in the native ArcGIS Pro Python environment.

Enables AI agents to perform spatial analysis in ArcGIS Pro using natural language by exposing all ArcGIS Pro toolboxes as MCP tools.

An MCP server that exposes Charlotte, NC and Mecklenburg County open data as tools for an LLM agent, enabling queries about trash pickup, parcels, zoning, crime, and more by geocoding addresses and querying live ArcGIS layers.

Enables natural language control of live ArcGIS Pro sessions through the Model Context Protocol, allowing inspection of projects, layers, and attributes, and execution of geoprocessing tasks.

Enables AI assistants to control ArcGIS Pro through natural language, executing geoprocessing tools, editing data, and automating GIS workflows via a persistent ArcPy session.