mcpField
S
Satellite Tracking MCP Server

Satellite Tracking MCP Server

Local
github.com/Cyreslab-AIScience & Education4Updated 6w ago

About Satellite Tracking MCP Server

Satellite Tracking MCP Server provides satellite tracking data through the N2YO API. It is for clients that need satellite positions, orbital elements, pass predictions, and satellite listings by location or category.

Key features

  1. 01Get real-time satellite positions
  2. 02Retrieve satellite TLE data
  3. 03Predict visual and radio passes
  4. 04List satellites above a location
  5. 05Search by name or category

Use cases

  1. 01Check a satellite's current position
  2. 02Predict visible or radio passes from a location
  3. 03Find satellites currently above an observer
  4. 04Look up satellites by name or category

MCP support

Exposes N2YO-backed tracking tools and satellite information resources to MCP clients. It requires an N2YO API key.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Satellite Tracking MCP Server

A Model Context Protocol (MCP) server that provides access to satellite tracking data using the N2YO API.

Features

This MCP server provides the following capabilities:

Tools
  • get_satellite_position: Get real-time position of a satellite by NORAD ID
  • get_satellite_tle: Get TLE (Two-Line Element) data for a satellite by NORAD ID
  • predict_visual_passes: Predict visible passes of a satellite over a location
  • predict_radio_passes: Predict radio frequency passes of a satellite over a location
  • get_satellites_above: Get satellites currently above a specified location
  • search_satellites: Search for satellites by name or category
Resources
  • satellite://{norad_id}: Information about a satellite by NORAD ID
  • satellites://category/{category_id}: List of satellites in a specific category
  • satellites://above/{lat}/{lon}/{radius}: List of satellites above a specified location

Installation

Prerequisites
Setup
  1. Clone this repository or download the source code
  2. Install dependencies:
cd satellite-tracking-server
npm install
  1. Build the server:
npm run build

Configuration

The server requires a N2YO API key to function. You can provide this through the environment variable N2YO_API_KEY.

MCP Settings Configuration

To use this server with Claude, add it to your MCP settings configuration file:

For Claude Desktop App (macOS)

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "satellite-tracking": {
      "command": "node",
      "args": ["/path/to/satellite-tracking-server/build/index.js"],
      "env": {
        "N2YO_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}
For Claude VSCode Extension

Edit ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json:

{
  "mcpServers": {
    "satellite-tracking": {
      "command": "node",
      "args": ["/path/to/satellite-tracking-server/build/index.js"],
      "env": {
        "N2YO_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Usage Examples

Once the server is configured and running, you can use it with Claude to access satellite tracking data:

Get Satellite Position
<use_mcp_tool>
<server_name>satellite-tracking</server_name>
<tool_name>get_satellite_position</tool_name>
<arguments>
{
  "norad_id": 25544,
  "observer_lat": 40.7128,
  "observer_lng": -74.0060
}
</arguments>
</use_mcp_tool>
Get Satellite TLE Data
<use_mcp_tool>
<server_name>satellite-tracking</server_name>
<tool_name>get_satellite_tle</tool_name>
<arguments>
{
  "norad_id": 25544
}
</arguments>
</use_mcp_tool>
Predict Visual Passes
<use_mcp_tool>
<server_name>satellite-tracking</server_name>
<tool_name>predict_visual_passes</tool_name>
<arguments>
{
  "norad_id": 25544,
  "observer_lat": 40.7128,
  "observer_lng": -74.0060,
  "days": 7
}
</arguments>
</use_mcp_tool>
Search for Satellites
<use_mcp_tool>
<server_name>satellite-tracking</server_name>
<tool_name>search_satellites</tool_name>
<arguments>
{
  "query": "ISS"
}
</arguments>
</use_mcp_tool>
Get Satellites Above Location
<use_mcp_tool>
<server_name>satellite-tracking</server_name>
<tool_name>get_satellites_above</tool_name>
<arguments>
{
  "observer_lat": 40.7128,
  "observer_lng": -74.0060,
  "search_radius": 45
}
</arguments>
</use_mcp_tool>
Access Satellite Resource
<access_mcp_resource>
<server_name>satellite-tracking</server_name>
<uri>satellite://25544</uri>
</access_mcp_resource>

Satellite Categories

The server supports the following satellite categories:

Category IDDescription
0All
1Amateur
2CubeSat
3Education
4Engineering
5Galileo
6GLO-OPS
7GPS-OPS
8Military
9Radar
10Resource
11SARSAT
12Science
13TDRSS
14Weather
15XM/Sirius
16Iridium-NEXT
17Globalstar
18Intelsat
19SES
20Telesat
21Orbcomm
22Gorizont
23Raduga
24Molniya
25DMC
26Argos
27Planet
28Spire
29Starlink
30OneWeb

API Key Limitations

The N2YO API has usage limits based on your subscription plan. The free tier allows:

  • 1,000 requests per hour
  • Basic functionality across all endpoints

Be aware of these limits when using the server to avoid exceeding your quota.

Troubleshooting

  • API Key Errors: Ensure your N2YO API key is valid and correctly set in the environment variables.
  • Rate Limiting: If you encounter rate limiting errors, the server will automatically retry with exponential backoff, but you may need to wait before making additional requests.
  • No Data Found: Some satellites may not have real-time tracking data available, especially older or inactive satellites.

License

This project is licensed under the ISC License.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.