planetary-computer-mcp: Instructions file for Codex

AGENTS.md

planetary-computer-mcp AGENTS.md is an instructions file for Codex, OpenCode from isaaccorley/planetary-computer-mcp. It costs 1,493 tokens per session, scanned A, original, Apache-2.0.

A project guide for planetary-computer-mcp, a Python server that lets an agent access Microsoft Planetary Computer geospatial data through an MCP connection. It documents the project layout, commands, and validation checks.

In plain words
What is it for?
It is for working on geospatial data search, downloads, raster and vector processing, climate-data utilities, and the project's automated checks.
Why use it?
It gives contributors clear commands and conventions for installing dependencies, testing, formatting, type-checking, and running the server.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is isaaccorley/planetary-computer-mcp's own configuration. It tells Codex and OpenCode how to work on planetary-computer-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything planetary-computer-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to isaaccorley/planetary-computer-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/isaaccorley/planetary-computer-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/isaaccorley/planetary-computer-mcp

Made for: Codex, OpenCode.

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Per session 1,493 This file is loaded in full into every session.
When invoked 1,493 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.01493 $0.01493
Opus 5.5 $0.00597 $0.00597
Sonnet 5.5 $0.00299 $0.00299
Haiku 4.5 $0.00149 $0.00149

Measured 2mo ago against content hash 1ef988278a41, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

planetary-computer-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Agentic coding guide for planetary-computer-mcp - a Python MCP server for Microsoft Planetary Computer STAC catalog.

Quick Reference

# Install dependencies
uv sync

# Run all tests
uv run pytest

# Run single test
uv run pytest tests/test_download_data.py::test_download_sentinel2_data -v

# Run tests excluding integration (network-dependent)
uv run pytest -m "not integration"

# Lint + format
uv run ruff check . --fix
uv run ruff format .

# Type check
uv run ty check

# Full validation (pre-commit)
pre-commit run --all-files

# Run MCP server
uv run python -m planetary_computer_mcp.server

Project Structure

src/planetary_computer_mcp/
├── core/                    # Core utilities
│   ├── __init__.py         # Public API exports
│   ├── collections.py      # Collection keyword mapping
│   ├── geocoding.py        # Place name → bbox
│   ├── raster_utils.py     # odc-stac/rioxarray loading
│   ├── stac_client.py      # STAC search wrapper
│   ├── vector_utils.py     # GeoParquet/DuckDB queries
│   ├── visualization.py    # RGB/colormap generation
│   └── zarr_utils.py       # Climate data (placeholder)
├── tools/                   # MCP tool implementations
│   ├── download_data.py    # Raster download + NATIVE_RESOLUTIONS
│   └── download_geometries.py  # Vector download (MS Buildings)
└── server.py               # FastMCP server entry point
tests/
└── test_download_data.py   # Integration tests (marked @pytest.mark.integration)

Code Style

Imports

  • Standard library → third-party → local (enforced by ruff isort)
  • Use absolute imports for cross-module: from planetary_computer_mcp.core import ...
  • Use relative imports within same package: from ..core import ...
  • Group imports in __init__.py with explicit __all__

Formatting

  • Line length: 100 chars
  • Target Python: 3.13 (supports 3.10-3.13)
  • Formatter: ruff format (black-compatible)
  • Quotes: Double quotes for strings

Type Hints

Read the full file on GitHub · 210 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 210 lines · 1,493 tokens per session scan A 1ef988278a41

Subscribe to this mod's changes

planetary-computer-mcp AGENTS.md is an instructions file published in the GitHub repository isaaccorley/planetary-computer-mcp (4 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 1,493 tokens to every session, about $0.0060 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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