Brahe Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Brahe Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
<p align="center"> <a href="https://github.com/duncaneddy/brahe-mcp/actions/workflows/test.yml/badge.svg"> <img src="https://github.com/duncaneddy/brahe-mcp/actions/workflows/test.yml/badge.svg" alt="Tests"> </a> <a href="https://pypi.org/project/brahe-mcp/"> <img src="https://img.shields.io/pypi/v/brahe-mcp" alt="PyPI"> </a> </p>
This project provides a Model Context Protocol (MCP) server that exposes the astrodynamics capabilities of the Brahe library enabling language models to get smarter about astrodynamics and space situational awareness.
demo
uv tool install brahe-mcpor
pip install brahe-mcpThen configure your MCP client to use the installed tool:
{
"mcpServers": {
"brahe": {
"command": "brahe-mcp"
}
}
}The MCP configuration location depends on your client. For popular tools you can find it here:
| Client | Config Location |
|---|---|
| Claude Desktop (macOS) | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Claude Desktop (Windows) | %APPDATA%\Claude\claude_desktop_config.json |
| Claude Code | .claude/settings.json (project-level or global) |
| Gemini CLI | ~/.gemini/settings.json |
| OpenAI Codex CLI | ~/.codex/config.toml (see below) |
[!NOTE] ChatGPT Desktop does not support local stdio MCP servers — it requires remote HTTPS endpoints
Codex CLI stores MCP configuration in TOML format at ~/.codex/config.toml (or project-scoped .codex/config.toml):
[mcp_servers.brahe]
command = "brahe-mcp"
args = []You can also add it via the CLI:
codex mcp add brahe -- brahe-mcpTo include SpaceTrack credentials:
codex mcp add brahe --env [email protected] --env SPACETRACK_PASS=your-password -- brahe-mcpThe SpaceTrack tools require a Space-Track.org account. Add your credentials via the env key in the server config:
{
"mcpServers": {
"brahe": {
"command": "brahe-mcp",
"env": {
"SPACETRACK_USER": "[email protected]",
"SPACETRACK_PASS": "your-password"
}
}
}
}[!NOTE] Claude Desktop does not expand shell variables like${SPACETRACK_USER}— you must put the actual values in the config. Claude Code inherits your shell environment, so you can alternatively set the variables in~/.zshrcand omit theenvblock.
Without these variables, the CelesTrak tools will still work normally — only the SpaceTrack tools will return an error prompting you to set the credentials.
To run the server from a local clone (useful for development or testing before installing):
git clone https://github.com/duncaneddy/brahe-mcp.git
cd brahe-mcp
uv sync --group devThen configure your MCP client to launch the server via uv run. Add the following to your MCP settings file:
{
"mcpServers": {
"brahe": {
"command": "uv",
"args": ["run", "--directory", "/path/to/brahe-mcp", "brahe-mcp"]
}
}
}Replace /path/to/brahe-mcp with the absolute path to your local clone.
uv sync --group dev
uv run pytest tests/~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.