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muend/arcgis-mcp-bridge

by Various

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

M

MCP

muend/arcgis-mcp-bridge

Added 13 July 2026

#ai-agents #anthropic #api-bridge #arcgis #arcgis-pro #arcpy #automation #bridge

Overview

A local-first MCP server that exposes ArcGIS Pro's ArcPy engine over stdio JSON-RPC. It enables AI agents to execute ArcPy scripts through a secure, local interface without network dependencies.

Best for

Best for
Developers who need to connect AI agents to ArcGIS Pro's geoprocessing engine in a secure, local environment

Use cases

  • Automating GIS workflows by letting an AI agent run ArcPy geoprocessing tools
  • Integrating ArcGIS Pro capabilities into custom AI pipelines or chat interfaces
  • Running batch spatial analysis tasks via scripted MCP commands

How to use

Install

pip install arcgis-mcp-bridge

Tools exposed

  • ARCPY_PYTHON_PATH
  • ARCGIS_MCP_ALLOWED_ROOTS
  • ARCGIS_MCP_SCRATCH_GDB
  • ARCGIS_MCP_MAX_WORKERS

Tested with

Claude Desktop, Cursor

Notes

A local-first MCP server that exposes ArcGIS Pro’s ArcPy engine over stdio JSON-RPC. It enables AI agents to execute ArcPy scripts through a secure, local interface without network dependencies.

6 stars on GitHub. Last updated 2026-07-07. Licensed Apache-2.0.

Use cases

  • Automating GIS workflows by letting an AI agent run ArcPy geoprocessing tools
  • Integrating ArcGIS Pro capabilities into custom AI pipelines or chat interfaces
  • Running batch spatial analysis tasks via scripted MCP commands

Pros

  • Runs entirely locally, no external API calls or data exposure
  • Leverages full ArcPy library for advanced GIS operations
  • Simple stdio JSON-RPC protocol makes integration straightforward

Cons

  • Requires a licensed ArcGIS Pro installation with ArcPy available
  • Limited to single-machine execution, no distributed or cloud scaling
  • Small community (6 stars) means limited support and documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Runs entirely locally, no external API calls or data exposure
  • Leverages full ArcPy library for advanced GIS operations
  • Simple stdio JSON-RPC protocol makes integration straightforward

Cons

  • Requires a licensed ArcGIS Pro installation with ArcPy available
  • Limited to single-machine execution, no distributed or cloud scaling
  • Small community (6 stars) means limited support and documentation
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