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1 month ago
mcp_so

GIS MCP Server

A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries (Currently Shapely and PyProj supported), enabling AI assistants to perform geospatial operations and transformations.

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// key findings
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — download_species_occurrences (line 72: with open(file_path, "w", encoding="utf-8") as f:)
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: OPENAI_API_KEY, OPENROUTER_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretOPENAI_API_KEY
🔐 secretOPENROUTER_API_KEY
configGIS_MCP_STORAGE_PATH
configGIS_MCP_TRANSPORTexport =http
configGIS_MCP_HOST
configGIS_MCP_PORTexport =8080
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/mahdin75-gis-mcp-194gw6)](https://m8ven.ai/mcp/mahdin75-gis-mcp-194gw6)
commit: 0d1f30bcbc3359e30ba494b81b74305df6e01670
code hash: 2d4af2fc8b59ebfd1b1ba70c8bd14bd0d4f95e14e8c4578ce01aa9c206dd5fdf
verified: 6/16/2026, 1:05:05 PM
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