# ArcGIS Pro

> Use this tool when you need to interact with ArcGIS Pro desktop GIS software through conversational interfaces, enabling spatial analysis, map creation, and GIS workflows. It solves problems of automated spatial data processing and provides conversational access to desktop GIS capabilities for geospatial professionals. The tool accepts input from external applications and outputs executed GIS operations, accessed map data, and controlled ArcGIS Pro functionality through a bridge architecture.

Canonical page: https://skillsregistry.net/skills/nicogis-arcgis-pro  
JSON: https://api.skillsregistry.net/v1/skills/nicogis-arcgis-pro

## Description

ArcGIS Pro MCP server by nicogis that enables AI assistants to interact with ArcGIS Pro desktop GIS software through a bridge architecture consisting of a .NET add-in running inside ArcGIS Pro and a separate MCP server process that communicates via inter-process communication. The implementation uses named pipes or similar IPC mechanisms to allow the MCP server to execute GIS operations, access map data, and control ArcGIS Pro functionality from external applications while maintaining the full desktop GIS environment. Built with C# for the ArcGIS Pro add-in component and .NET for the MCP server, this architecture enables AI assistants to perform spatial analysis, map creation, and GIS workflows without requiring direct API access, making it valuable for geospatial professionals who need conversational access to desktop GIS capabilities and automated spatial data processing tasks.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nicogis-arcgis-pro)
- **Repository:** <https://github.com/nicogis/mcp-server-arcgis-pro-addin>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nicogis-arcgis-pro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nicogis-arcgis-pro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nicogis-arcgis-pro/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt