Is Gdal Mcp safe to use?

Gdal Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Gdal Mcp?

Gdal Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Gdal Mcp do?

Gdal Mcp provides 16 tools: raster_info, raster_convert, raster_stats, vector_info, vector_convert and 11 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Gdal Mcp?

Gdal Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.

Is Gdal Mcp actively maintained?

Gdal Mcp is actively maintained — last commit was 4 days ago. It has 72 GitHub stars.

Gdal Mcp

Name: Gdal Mcp
Author: JordanGunn

by JordanGunn

Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.

72 16 tools GitHub

No known CVEs

MIT license

Actively maintained

Last commit 4d ago

Works with most clients

Transport: stdio, sse

16 tools · ~429 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

Maps & Geo Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gdal-mcp": {
      "env": {
        "GDAL_MCP_WORKSPACES": "/path/to/your/geospatial/data"
      },
      "args": [
        "--from",
        "gdal-mcp",
        "gdal",
        "--transport",
        "stdio"
      ],
      "command": "uvx"
    }
  }
}

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Read me

What Gdal Mcp does

GDAL MCP is a Model Context Protocol (MCP) server that provides AI agents with geospatial analysis capabilities while requiring them to justify their methodological choices through a reflection middleware system.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

74/100across 5 weighted dimensions

How we score →

0255075100

−26

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (16)

Click any tool to inspect its schema.

~429 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Gdal Mcp safe to use?: Gdal Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Gdal Mcp?: Gdal Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Gdal Mcp do?: Gdal Mcp provides 16 tools: raster_info, raster_convert, raster_stats, vector_info, vector_convert and 11 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Gdal Mcp?: Gdal Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Gdal Mcp actively maintained?: Gdal Mcp is actively maintained — last commit was 4 days ago. It has 72 GitHub stars.

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Community

Discussion

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Maps & Geo Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gdal-mcp": {
      "env": {
        "GDAL_MCP_WORKSPACES": "/path/to/your/geospatial/data"
      },
      "args": [
        "--from",
        "gdal-mcp",
        "gdal",
        "--transport",
        "stdio"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/gdal-mcp)](https://mcppedia.org/s/gdal-mcp)

Read me

What Gdal Mcp does

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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).

Install

Via uvx (recommended)

uvx --from gdal-mcp gdal --transport stdio

Via Docker

docker build -t gdal-mcp .
docker run -i gdal-mcp gdal --transport stdio

Local development

git clone https://github.com/Wayfinder-Foundry/gdal-mcp.git
cd gdal-mcp
uv sync
uv run gdal --transport stdio

Configure your MCP client

Claude Desktop

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\, Linux: ~/.config/Claude/):

{
  "mcpServers": {
    "gdal-mcp": {
      "command": "uvx",
      "args": ["--from", "gdal-mcp", "gdal", "--transport", "stdio"],
      "env": {
        "GDAL_MCP_WORKSPACES": "/path/to/your/geospatial/data"
      }
    }
  }
}

Restart Claude Desktop. The MCP server indicator should appear, and the raster_* and vector_* tools become available.

Workspace scoping

GDAL_MCP_WORKSPACES is a colon-separated list of directories the server is allowed to touch. If unset, all paths are allowed and a warning is logged.

Optional tool-surface flags: RASTER=true, VECTOR=true. See docs/ENVIRONMENT_VARIABLES.md for the full set.

Tools

Raster: raster_info, raster_convert, raster_reproject, raster_stats, raster_query
Vector: vector_info, vector_convert, vector_reproject, vector_clip, vector_buffer, vector_simplify, vector_query
Resources: catalog (workspace://...), metadata (metadata://...), reference (reference://...), query results (query://result/{id})
Prompts: justify_crs_selection, justify_resampling_method, justify_query_extent (and more under src/prompts/)

See TOOLS.md for parameters, return shapes, and worked examples.

The reflection middleware

Tools whose methodology matters refuse to execute until the calling agent produces a structured justification. The flow is:

Agent calls e.g. raster_reproject(dst_crs="EPSG:3857", resampling="cubic", ...).
Middleware checks .preflight/justifications/{domain}/ for a matching hash.
On miss, the call raises ToolError with a hint pointing at the relevant prompt (e.g. justify_crs_selection).
Agent calls the prompt, fills out the Justification schema (intent, alternatives considered, choice, tradeoffs, confidence), and re-invokes the tool with a __reflection payload.
The justification is cached domain-keyed, so a CRS rationale for EPSG:3857 satisfies both raster_reproject and vector_reproject on subsequent calls.

See docs/REFLECTION.md for the schema and cache layout, and docs/PHILOSOPHY.md for why this exists.

Documentation

TOOLS.md — tool reference
docs/ENVIRONMENT_VARIABLES.md — runtime config
docs/REFLECTION.md — reflection middleware internals
docs/PHILOSOPHY.md — design philosophy and direction
docs/ROADMAP.md — release history a

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

74/100across 5 weighted dimensions

How we score →

0255075100

−26

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Inventory

Tools (16)

Click any tool to inspect its schema.

~429 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Gdal Mcp safe to use?: Gdal Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Gdal Mcp?: Gdal Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Gdal Mcp do?: Gdal Mcp provides 16 tools: raster_info, raster_convert, raster_stats, vector_info, vector_convert and 11 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Gdal Mcp?: Gdal Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse transport.
Is Gdal Mcp actively maintained?: Gdal Mcp is actively maintained — last commit was 4 days ago. It has 72 GitHub stars.