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sparkgeo/geo-mcp-servers

A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms.

Python ◇ geospatial MIT
★119STARS
⑂23FORKS
!0ISSUES
🏆#20,048GLOBAL RANK
🔥20DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

geo-mcp-servers is geo-mcp-servers is an open-source project written in Python: A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), sparkgeo/geo-mcp-servers has accumulated 119 GitHub stars and 23 forks. It is written in Python, licensed under MIT, and ranks #20,048 globally. It is actively maintained with the latest commit recorded on Oct 9, 2026.”
Repository sparkgeo/geo-mcp-servers ↗
Primary Category geospatial
Language & Stack Python
Software License MIT
Community Traction ★ 119 stars · ⑂ 23 forks · #20,048 globally
Maintenance ● Active (Last commit: Oct 9, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is geo-mcp-servers actively maintained in 2026?
Verdict: Actively Maintained

Yes, geo-mcp-servers is actively maintained. Continuous telemetry recorded the last code commit on Oct 9, 2026 (21 days ago). Supported by 119 stars and 23 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.

Commit Recency
Oct 9, 2026
21 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
23 Forks
119 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for sparkgeo/geo-mcp-servers
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,623

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

geo-mcp-servers gained 10 stars in the last 30 days, about 1 a day, and now has 119. It is about 1 year old and has averaged roughly 119 stars a year. It ranks #2,623 among Python repositories and #20,048 across all languages on GitHubRepo.

Trending Record

geo-mcp-servers has maintained a continuous presence across global trending indexes, peaking at #12495. Below is the 30-day activity profile:

💡 Overview

geo-mcp-servers is an open-source project written in Python: A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms.

Engineered for speed, consistency, and developer ease, it solves common hurdles in geospatial, mcp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install geo-mcp-servers

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

geo-mcp-servers coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed geo-mcp-servers into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install geo-mcp-servers using your package manager: `pip install geo-mcp-servers`

2

Initialize your project workspace or configuration file for geo-mcp-servers.

3

Import geo-mcp-servers into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `geo-mcp-servers --help` to verify successful setup.

👍 Strengths

Active community backing with 119 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

sparkgeo/geo-mcp-servers is currently ranked #20,048 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,973 paper-instruments/feather-train Python ★ 120 Compare ↗
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#20,048 sparkgeo/geo-mcp-servers This Project Python ★ 119
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Frequently Asked Questions

What does geo-mcp-servers do? +

A curated, tracked list of Model Context Protocol (MCP) servers for geospatial, GIS, mapping, and earth-observation work — geocoding, routing, PostGIS, STAC/imagery, QGIS/ArcGIS, weather, and the commercial location platforms.

Is geo-mcp-servers actively maintained in 2026? +

Yes, geo-mcp-servers is actively maintained. The latest code push was recorded on Oct 9, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 119 stars and 0 open issues.

What language is geo-mcp-servers written in? +

The primary language is Python. Topics include: geospatial, mcp.

How many stars does geo-mcp-servers have? +

geo-mcp-servers has 119 stars and 23 forks on GitHub.

How does geo-mcp-servers rank among GitHub repositories? +

With 119 stars, sparkgeo/geo-mcp-servers is ranked #20,048 globally across all repositories tracked on GitHubRepo and #2,623 among Python projects.

What license is geo-mcp-servers distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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