Google PageRank for AI agents. 25,000+ tools indexed.

gis-mcp MCP Server

mahdin75/gis-mcp

Score: 66.2 → 0.2% Rank #4853 MCP Server
[![AgentRank](https://agentrank-ai.com/api/v1/badge/mahdin75--gis-mcp)](https://agentrank-ai.com/tool/mahdin75--gis-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of mahdin75/gis-mcp? Claim this listing →

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

Add AgentRank to Claude Code Discover and compare tools like mahdin75/gis-mcp — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

mahdin75/gis-mcp is a Python MCP server licensed under MIT. A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.

Ranked #4853 out of 24846 indexed tools.

Has 12 contributors.

Ecosystem

Python MIT 73 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 196

196 stars → growing community

Freshness 25% 2mo ago

Last commit 2mo ago → moderate activity

Issue Health 25% 76%

13/17 issues closed → decent issue management

Contributors 10% 12

12 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 73/wk

73 weekly installs → early adoption

Forks 53
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 69 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Install in your agent

claude mcp add gis-mcp -- uvx gis-mcp
codex mcp add gis-mcp -- uvx gis-mcp
{"mcpServers":{"gis-mcp":{"command":"uvx","args":["gis-mcp"]}}}
hermes mcp add gis-mcp --command uvx --args gis-mcp

Badge all embed codes →

AgentRank score for mahdin75/gis-mcp
[![AgentRank](https://agentrank-ai.com/api/v1/badge/mahdin75--gis-mcp)](https://agentrank-ai.com/tool/mahdin75--gis-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/mahdin75--gis-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/mahdin75--gis-mcp" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="mahdin75/gis-mcp"></script>

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# GIS MCP Server

GIS-MCP is an open-source Model Context Protocol (MCP) server that connects AI assistants and Large Language Models (LLMs) with GIS and geospatial operations.

It enables AI agents to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and other GIS workflows through MCP-compatible clients.

🌐 **Official Documentation:** https://gis-mcp.com

📦 **PyPI:** https://pypi.org/project/gis-mcp/ 

💻 **Source Code:** https://github.com/mahdin75/gis-mcp

> **92+ GIS tools** across Shapely, GeoPandas, PyProj, Rasterio, PySAL, visualization, satellite imagery, climate, ecology, movement, and land-cover data.

<br/>

<div align="center">

| Category                     | Badges                                                                                                                                                                                                                          
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.