brahe-mcp

brahe-mcp

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

Category
Visit Server

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/

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured