# Planetary Computer MCP Server

> Use this tool when you need to access and analyze large amounts of satellite and geospatial data through simple natural language queries. It solves problems related to data discovery, geocoding, and format compatibility by providing unified access to various data formats, including raster, vector, and Zarr. The server takes in natural language queries as input and outputs relevant geospatial data, making it ideal for applications that require efficient and intuitive data retrieval.

Canonical page: https://skillsregistry.net/skills/isaaccorley-planetary-computer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/isaaccorley-planetary-computer-mcp

## Description

A Python MCP server that provides unified access to satellite and geospatial data through natural language queries, with automatic place name geocoding and support for raster, vector, and Zarr formats.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e01coc5q9g)
- **Repository:** <https://github.com/isaaccorley/planetary-computer-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "isaaccorley-planetary-computer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/isaaccorley-planetary-computer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/isaaccorley-planetary-computer-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt