How to Use the Arcsecond.io MCP in Windsurf

Let Windsurf's Cascade agent autonomously pull astronomical data from Arcsecond.io and build reports for you.

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Connect Arcsecond.io MCP to Windsurf

Create your Vinkius account to connect Arcsecond.io to Windsurf 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 Arcsecond.io with Windsurf

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Find Any Celestial Object, Instantly

The `search_objects` tool lets you find any star, galaxy, or nebula by name. But with Windsurf, you don't even need to call it directly. Just ask your agent to 'get me the details for the Andromeda Galaxy'. Cascade, Windsurf's autonomous core, takes over from there. It sees your goal, finds the `search_objects` tool in this MCP server, then chains it with `get_object` to pull the full record. You get the answer without managing the steps.

Check Observatory Status with Windsurf

This MCP Server gives you direct access to observatory operations. You can ask your agent to 'show me the night logs for Kitt Peak'. Windsurf gets to work. It uses `list_observing_sites` to identify the right location, then calls `list_night_logs` to get the latest entries. You don't have to know the tool names or the sequence; Cascade figures it out for you.

Audit Telescope Datasets

The `list_telescopes` and `list_datasets` tools are your inventory control for astronomical data. You can quickly check what's available from any instrument. Instead of calling tools one by one, just tell Windsurf your goal: 'Find all datasets from the Spitzer Space Telescope'. It will find the telescope, then list all associated datasets automatically. It’s a real time-saver.

Setup guide

Set up Arcsecond.io MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Arcsecond.io MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Arcsecond.io payment history." If connected, Cascade will call the Arcsecond.io tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "arcsecondio-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arcsecond.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Arcsecond.io MCP in Windsurf

You just ask. For example, 'tell me about Polaris'. Windsurf's Cascade agent uses the `search_objects` tool on the Arcsecond.io MCP Server to find it and get you the data.

Yes, that's its main strength. You give it a high-level goal, and it automatically chains tools like `list_observing_sites` and `list_night_logs` from the MCP to get the final result.

Use the built-in MCP Marketplace in Windsurf's settings. Find Arcsecond.io and click install. It's a one-click setup.

No code needed. You interact conversationally with the agent. Windsurf handles all the tool calls behind the scenes.

Windsurf will access public astronomical data like object coordinates and observatory logs from Arcsecond.io. Vinkius manages authentication, and the server itself runs in a dedicated, single-use sandbox for each request.

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