How to Use the KeepTrack Space Intelligence MCP in Google ADK

Q: How does KeepTrack Space Intelligence integrate with Google ADK?

You initialize McpToolset with the server HTTP parameters to connect this MCP Server. Your Google ADK system can then immediately execute all orbital tracking tools.

Q: Can I combine KeepTrack Space Intelligence data with BigQuery using Google ADK?

Yes, you can. Your agent runs getsatellitedetails to fetch orbital parameters, then writes those specific telemetry points directly into your BigQuery tables.

Q: Can I restrict which tools my enterprise ADK agent can use?

Yes, use the toolnames filter when setting up the toolset. You can expose only getrecentspacelaunches while keeping the detailed satellite queries locked down on the MCP Server.

Feed real-time orbital tracking and debris data into your Google ADK enterprise pipelines using Gemini long-context models.

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Connect KeepTrack Space Intelligence MCP to Google ADK

Create your Vinkius account to connect KeepTrack Space Intelligence 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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Setup KeepTrack Space Intelligence with Google ADK

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Identify orbital targets with `search_satellites`

The `search_satellites` tool queries active orbital hardware and debris records directly from your Google ADK workflow. This allows your enterprise agents to locate specific space assets and feed the raw search results into BigQuery for long-term trend analysis. By exposing this tool to Gemini, you take advantage of its huge context window. The agent can ingest thousands of search matches at once, cross-referencing them against your internal databases without running out of memory.

Retrieve deep telemetry using `get_satellite_details`

The `get_satellite_details` tool pulls critical orbital mechanics data, including decay rates and apogee values, for any specific cataloged object. Your Google ADK agent runs this tool to check the status of critical space assets before triggering operational alerts. You can restrict access to this tool using the `tool_names` filter in your ADK setup. This ensures only authorized analytical agents can query sensitive orbital telemetry, maintaining strict security boundaries across Vertex AI.

Monitor space launches using this MCP Server

The `get_recent_space_launches` tool fetches the latest orbital deployment schedules and payload manifests. Your Google ADK system uses this data to update enterprise dashboards, keeping your teams informed of new operational hardware in orbit. Integrating this MCP Server takes minimal effort. You initialize the `McpToolset` with the server's HTTP URL, and your Gemini-powered agents can immediately query the launch database during live conversations.

Setup guide

Set up KeepTrack Space Intelligence 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

Install Google ADK

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

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

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 KeepTrack Space Intelligence 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="KeepTrack Space Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to KeepTrack Space Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Common questions about KeepTrack Space Intelligence MCP in Google ADK

You initialize `McpToolset` with the server HTTP parameters to connect this MCP Server. Your Google ADK system can then immediately execute all orbital tracking tools.

Yes, you can. Your agent runs `get_satellite_details` to fetch orbital parameters, then writes those specific telemetry points directly into your BigQuery tables.

Gemini easily digests large batches of satellite telemetry. You can search hundreds of objects using `search_satellites` in Google ADK, and the model parses the entire list without losing track of details.

Yes, use the `tool_names` filter when setting up the toolset. You can expose only `get_recent_space_launches` while keeping the detailed satellite queries locked down on the MCP Server.

Queries sent to this MCP Server execute in a zero-trust, ephemeral sandbox. Your satellite registries and launch logs requests are processed in memory and deleted instantly, keeping your proprietary tracking lists private.

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