mapsmith-ai/MapSmith

Overview

MapSmith provides professional-grade GIS geoprocessing for AI agents through the Model Context Protocol. Every output includes a verifiable provenance manifest that records how the result was produced. It is written in Python and available on GitHub.

Best for

Best for
Developers building AI agents that need GIS geoprocessing with auditable outputs

Use cases

• Run spatial analysis from an AI agent via MCP
• Generate GIS outputs with traceable provenance
• Integrate geoprocessing into agent workflows

Notes

MapSmith provides professional-grade GIS geoprocessing for AI agents through the Model Context Protocol. Every output includes a verifiable provenance manifest that records how the result was produced. It is written in Python and available on GitHub.

0 stars on GitHub. Last updated 2026-09-07. Licensed AGPL-3.0.

Use cases

• Run spatial analysis from an AI agent via MCP
• Generate GIS outputs with traceable provenance
• Integrate geoprocessing into agent workflows

Pros

• Standard MCP interface for agent integration
• Provenance manifest adds verifiability to outputs
• Python-based, fits into existing GIS ecosystems

Cons

• No GitHub stars yet, indicating early-stage project
• Requires an MCP client to access
• Vendor listed as Various, so support and maintenance are unclear

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