by JordanGunn · MCP Server · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uvx --from gdal-mcp gdal --transport stdio
docker run -i gdal-mcp gdal --transport stdioTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 83 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 78/100 |
| Last Updated | 2026-05-25 |
| Created | 2025-09-05 |
| Platforms | mcp, python |
| Est. Tokens | ~67k |
gdal-mcp MCP server exposing GDAL/Rasterio operations to AI agents, with a reflection middleware that requires structured justification before executing operations whose methodology matters (CRS choice, resampling method, query extent).
These tools work well together with gdal-mcp for enhanced workflows:
Looking for a gdal-mcp alternative? If you're comparing gdal-mcp with other mcp server tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Mazzap, part of the Mazzstack: essentials for the Singularity Slowlife
Protocol-agnostic CesiumJS AI control runtime for MCP, WebMCP, function calling, and browser agents.
Cesium AI Integrations is a collection of reference integrations and experiments connecting the Cesium ecosyst
China antique parchment MapLibre stack: EOX Sentinel-2 + Terrarium hillshade, water overlay, live tuner, tiere
Nature-style AI peer reviewer for scientific manuscripts. 我把Nature期刊审稿人蒸馏了。
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: