brahe-mcp

brahe-mcp

Exposes the astrodynamics capabilities of the Brahe library enabling language models to perform space situational awareness and astrodynamics calculations.

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README

brahe-mcp

<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

Installation

uv tool install brahe-mcp

or

pip install brahe-mcp

Then 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

OpenAI Codex CLI

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-mcp

To include SpaceTrack credentials:

codex mcp add brahe --env SPACETRACK_USER=your@email.com --env SPACETRACK_PASS=your-password -- brahe-mcp

SpaceTrack Configuration

The 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": "your@email.com",
        "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 ~/.zshrc and omit the env block.

Without these variables, the CelesTrak tools will still work normally — only the SpaceTrack tools will return an error prompting you to set the credentials.

Local Setup

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 dev

Then 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.

Development

uv sync --group dev
uv run pytest tests/

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