How to Use the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in VS Code Copilot

Q: Can VS Code Copilot write code using the NASA Asteroids — Near-Earth Objects & Planetary Defense telemetry?

Yes, Copilot calls getneolookup to fetch real asteroid dimensions and velocities. It then uses that actual schema to write your data parsing code.

Commit JPL asteroid tracking configurations to your repo and run live space telemetry inside VS Code Copilot.

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Connect NASA Asteroids — Near-Earth Objects & Planetary Defense MCP to VS Code Copilot

Create your Vinkius account to connect NASA Asteroids — Near-Earth Objects & Planetary Defense to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NASA Asteroids — Near-Earth Objects & Planetary Defense with VS Code Copilot

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Share planetary defense tools via VS Code Copilot

`get_close_approaches` runs directly inside your editor through a shared MCP configuration. Your team commits the setup to Git, giving everyone instant access to JPL close approach data. Copilot uses the live orbital trajectories to help your team write collaborative space-tracking applications.

Parse atmospheric bolide events

`get_fireballs` pulls global atmospheric fireball logs into your VS Code Copilot chat window. Developers can write parser scripts using real-world metrics like altitude, velocity, and energy yields. The copilot agent reads these sensor payloads to suggest accurate data models for your scientific applications.

Track orbital feeds in real time

`get_neo_feed` provides real-time asteroid tracking within a specified date range. VS Code Copilot analyzes the returned miss distances and hazardous flags to help you build automated alert systems. You can quickly inspect specific objects by chaining this feed with `get_neo_lookup` using the retrieved SPK-IDs.

Setup guide

Set up NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the NASA Asteroids — Near-Earth Objects & Planetary Defense MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the NASA Asteroids — Near-Earth Objects & Planetary Defense tools listed. Try asking: "List my recent NASA Asteroids — Near-Earth Objects & Planetary Defense transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "nasa-asteroids-near-earth-objects-planetary-defense-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about NASA Asteroids — Near-Earth Objects & Planetary Defense MCP in VS Code Copilot

Create a configuration file in your repository root and add the MCP server setup. Anyone opening the workspace in VS Code 1.96+ with Copilot gets the tools.

Yes, Copilot calls `get_neo_lookup` to fetch real asteroid dimensions and velocities. It then uses that actual schema to write your data parsing code.

Yes, the MCP server runs as a local process managed by VS Code. It securely routes your queries to the JPL CNEOS and government sensor databases.

Use Copilot to write an asynchronous loop that requests pages of 20 asteroids. This avoids blocking your main application thread while fetching catalog data.

No, the server only handles requests for asteroid tracking data and fireball logs. Your local editor environment and active variables remain private inside VS Code.

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