How to Use the Epsilon3 Aerospace Operations MCP in Google ADK

Q: How do I connect Epsilon3 Aerospace Operations to Google ADK?

Install the SDK via pip install google-adk and create an McpToolset with your MCP Server URL. Pass this toolset to your LlmAgent instance to give Gemini access to your aerospace procedures.

Q: Can I limit which Epsilon3 Aerospace Operations tools Google ADK can access?

Yes, you can use the optional toolnames filter in the McpToolset configuration. This lets you restrict the agent to read-only tools like listsuccessfullycompletedruns if you want to prevent operational changes.

Q: How does Google ADK analyze Epsilon3 Aerospace Operations telemetry datasets?

The agent calls getrunexecutiontelemetry to pull raw execution logs. Because Gemini supports long-context windows, the agent can ingest the entire telemetry log in a single call for deep analysis.

Run deep reasoning over Epsilon3 Aerospace Operations telemetry using Google ADK and Gemini's million-token context.

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Connect Epsilon3 Aerospace Operations MCP to Google ADK

Create your Vinkius account to connect Epsilon3 Aerospace Operations 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 Epsilon3 Aerospace Operations with Google ADK

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Long-context telemetry analysis using Google ADK

The `get_run_execution_telemetry` tool feeds complete historical execution streams into Gemini's massive context window. This lets your agent analyze hours of flight data at once, spotting patterns that shorter-context models miss. Setting up the connection to this MCP Server using `McpToolset` with HTTP parameters in your Python code initializes the pipeline. The agent can then cross-reference these live telemetry streams with your historical logs stored in BigQuery.

Enterprise project and procedure mapping

The `list_aerospace_projects` tool fetches high-level project structures directly from your Epsilon3 account. Your agent uses this directory to organize operational procedures across different vehicle programs. By combining `list_operations_procedures` with native Vertex AI search, your agent quickly finds the correct manual for any active launch vehicle. This eliminates the need for manual indexing of PDF manuals.

Automated issue auditing across operations

The `list_operations_flagged_issues` tool pulls every deviation and mechanical anomaly recorded during active runs. Your enterprise agent can scan these flags to build predictive maintenance schedules. Running a `quick_operations_health_audit` allows the agent to evaluate the status of the entire floor. If it detects a critical bottleneck, it pulls the exact steps using `get_procedure_detailed_content` to suggest corrective actions.

Setup guide

Set up Epsilon3 Aerospace Operations 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 Epsilon3 Aerospace Operations 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="Epsilon3 Aerospace Operations_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Epsilon3 Aerospace Operations tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Epsilon3 Aerospace Operations MCP in Google ADK

Install the SDK via `pip install google-adk` and create an `McpToolset` with your MCP Server URL. Pass this toolset to your `LlmAgent` instance to give Gemini access to your aerospace procedures.

Yes, you can use the optional `tool_names` filter in the `McpToolset` configuration. This lets you restrict the agent to read-only tools like `list_successfully_completed_runs` if you want to prevent operational changes.

The agent calls `get_run_execution_telemetry` to pull raw execution logs. Because Gemini supports long-context windows, the agent can ingest the entire telemetry log in a single call for deep analysis.

Yes, Google ADK allows you to write agents that query BigQuery and then use this MCP Server to verify procedures. You can compare historical sensor data in your warehouse with live runs fetched via `list_active_procedure_runs`.

All telemetry and procedure data is routed through ephemeral Vinkius MCP sandboxes. No flight logs or account metadata are stored on the server, and the connection uses end-to-end encryption.

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