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.
curl -O https://raw.githubusercontent.com/isaaccorley/planetary-computer-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/isaaccorley/planetary-computer-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/isaaccorley/planetary-computer-mcp/agents-md)<a href="https://agentmods.dev/instructions/isaaccorley/planetary-computer-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/isaaccorley/planetary-computer-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/isaaccorley/planetary-computer-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/isaaccorley/planetary-computer-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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__.pywith 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
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.
- 2mo ago First seen · 210 lines · 1,493 tokens per session scan A 1ef988278a41
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.
planetary-computer-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| planetary-computer-mcp AGENTS.mdisaaccorley/planetary-computer-mcp | Instructions file | 4 | 6mo ago | Apache-2.0 | A | 1,493 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |