dsh-arcgis-pro-bridge
Run the following command in DeepSeek Harness:
dsh plugin install y0urday/dsh-arcgis-pro-bridge
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install y0urday/dsh-arcgis-pro-bridge in DeepSeek Harness to install; source at https://github.com/y0urday/dsh-arcgis-pro-bridge
About this plugin
Day-to-day ArcGIS Pro work often means bouncing between the Pro window, a terminal, and a code editor just to run a Buffer analysis, inspect a geodatabase schema, or draft an ArcPy snippet. dsh-arcgis-pro-bridge collapses that loop into a single conversation: it wraps the ArcGIS Pro Python environment into a set of MCP tools that plug directly into the DeepSeek Harness toolchain, so a model can list layers, read a project, inspect GDB tables, and execute Buffer, Clip, or arbitrary custom ArcPy code—all without manual relay steps.
Every call runs as a local stdio subprocess; no network ports are opened. ArcPy always executes inside the Python interpreter that ships with ArcGIS Pro, keeping the DSH Node runtime untouched. The plugin ships a dozen tools spanning ping, health_check, detect_arcgis_environment, and execute_arcpy_code, complete with exponential-backoff reconnection so the tool link recovers automatically if ArcGIS Pro briefly restarts. Write operations (Buffer, Clip, custom ArcPy) are intentionally left to the user to back up beforehand—the plugin does not provide data rollback.
Built for Windows-based GIS engineers and data analysts who want AI-assisted spatial exploration, bulk attribute filtering, ArcPy scripting, or simply a natural-language bridge between an agent and a desktop GIS suite. It ships as pure ESM JavaScript with a vendored Python service, so there is no build step, no npm registry dependency, and minimal configuration to get started.
Use Cases
- Let an AI model read local ArcGIS Pro projects, layers, and GDB schemas
- Trigger spatial operations like Buffer and Clip via natural language
- Execute custom ArcPy scripts in-conversation and retrieve results
Best For
- Windows-based GIS engineers and spatial data analysts
- Desktop GIS users who want AI-assisted ArcPy scripting
- Teams integrating DeepSeek Harness into internal GIS workflows
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