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How to Use the Arcsecond.io MCP in Google ADK

Connect Arcsecond.io to Google ADK to process massive astronomical datasets within your Gemini enterprise workflows.

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Google ADK

Connect Arcsecond.io MCP to Google ADK

Create your Vinkius account to connect Arcsecond.io to Google ADK 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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Query Arcsecond.io datasets via Google ADK

Connect `list_datasets` to your Gemini agent to see what observatory data is sitting ready for analysis. It pulls the list directly into your agent's memory. This works natively with your existing `McpToolset`. The agent parses the output and decides which dataset is relevant to the current task.

Manage observation logs with Google ADK

Use `list_night_logs` to bring historical observation data into your context. Gemini models handle the long-context needs easily. Your agent can now compare night logs across different sites. It builds a clear picture of what happened, allowing for better planning.

Identify astronomical objects using Google ADK

Run `search_objects` to query the Arcsecond.io database for specific coordinates or names. The tool returns data that your agent can immediately cross-reference. This keeps your agent focused on the task at hand. It avoids the need for manual data scraping or custom API wrappers.

Setup guide

Set up Arcsecond.io MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Arcsecond.io tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Arcsecond.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Arcsecond.io tools via MCP.",
    tools=mcp_tools,
)

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 Google ADK

Yes, use the `tool_names` filter in your `McpToolset` definition. This restricts the agent to only the tools you want to expose.
The server supports both Stdio and HTTP. You pick the transport that fits your Google Cloud infrastructure best.
Vinkius secures the connection through an isolated sandbox. Your data doesn't persist outside the ephemeral session.
No. Your endpoint token acts as a gateway. The server manages the auth so your keys never hit the agent code.
Your object search patterns are encrypted in transit. The server acts as a strictly scoped tunnel that only returns the specific astronomical data you request.

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