KeepTrack Space Intelligence MCP Server for Google ADK 3 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add KeepTrack Space Intelligence as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="keeptrack_space_intelligence_agent",
instruction=(
"You help users interact with KeepTrack Space Intelligence "
"using 3 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About KeepTrack Space Intelligence MCP Server
Equip your AI agent with real-time orbital intelligence through the KeepTrack MCP server. This integration provides instant access to a massive database of satellites, space debris, and other objects orbiting the Earth. Your agent can search for satellites by name, retrieve detailed metadata (including NORAD IDs, country of origin, and launch dates), and monitor the most recent objects launched into space. Whether you are conducting aerospace research, tracking telecommunications assets, or exploring orbital mechanics, your agent acts as a dedicated space operations analyst through natural conversation.
Google ADK natively supports KeepTrack Space Intelligence as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Satellite Search — Find satellites and orbital objects by name or keyword.
- Metadata Retrieval — Access exhaustive info including NORAD IDs, orbit types, and country data.
- Launch Monitoring — Retrieve a list of the most recent objects deployed into orbit.
- Orbital Auditing — Track specific satellite constellations like Starlink or GPS.
The KeepTrack Space Intelligence MCP Server exposes 3 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect KeepTrack Space Intelligence to Google ADK via MCP
Follow these steps to integrate the KeepTrack Space Intelligence MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 3 tools from KeepTrack Space Intelligence via MCP
Why Use Google ADK with the KeepTrack Space Intelligence MCP Server
Google ADK provides unique advantages when paired with KeepTrack Space Intelligence through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with KeepTrack Space Intelligence
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine KeepTrack Space Intelligence tools with BigQuery, Vertex AI, and Cloud Functions
KeepTrack Space Intelligence + Google ADK Use Cases
Practical scenarios where Google ADK combined with the KeepTrack Space Intelligence MCP Server delivers measurable value.
Enterprise data agents: ADK agents query KeepTrack Space Intelligence and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine KeepTrack Space Intelligence tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query KeepTrack Space Intelligence regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including KeepTrack Space Intelligence
KeepTrack Space Intelligence MCP Tools for Google ADK (3)
These 3 tools become available when you connect KeepTrack Space Intelligence to Google ADK via MCP:
get_recent_space_launches
Get most recent space launches
get_satellite_details
Get details for a specific satellite
search_satellites
Search for satellites by name
Example Prompts for KeepTrack Space Intelligence in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with KeepTrack Space Intelligence immediately.
"Search for satellites named 'Starlink'."
Troubleshooting KeepTrack Space Intelligence MCP Server with Google ADK
Common issues when connecting KeepTrack Space Intelligence to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkKeepTrack Space Intelligence + Google ADK FAQ
Common questions about integrating KeepTrack Space Intelligence MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect KeepTrack Space Intelligence with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect KeepTrack Space Intelligence to Google ADK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.