How to Use the Fastn MCP in Google ADK

Q: Can I restrict which tools Fastn exposes to my Google ADK agent?

Yes. Use the toolnames filter during setup to limit access. You decide exactly which capabilities your agent can touch, keeping your setup secure.

Q: How do I rotate secrets for the Fastn MCP Server?

Call rotatecredentials through your agent. It’s a direct operation that ensures your connections to external services remain secure and active.

Q: Is my data private when using Fastn with Google ADK?

Your credentials are stored securely via storecredentials. The MCP Server keeps them isolated, and no data is shared outside your defined connection parameters.

Bring Fastn workflows into your Google ADK agents to act on data from BigQuery and beyond.

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Connect Fastn MCP to Google ADK

Create your Vinkius account to connect Fastn 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 Fastn with Google ADK

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Trigger Fastn workflows from Google ADK

Your agent can now execute logic across your stack using `execute_flow`. It’s built for agents that need to act on information they just analyzed within the Gemini ecosystem. Because this runs as an MCP Server, the connection remains stable. You get direct access to your workflow history via `list_executions` to confirm every action taken by the agent.

Manage workflows through Google ADK

You can modify your automation definitions on the fly. By using `update_workflow`, your agent adapts to changing requirements without needing a manual code push. `list_workflows` gives your agent the visibility it needs to choose the right flow for the current task. It keeps the agent focused on the logic that matters right now.

Monitor infrastructure usage with MCP Server

Visibility into your operational costs happens through simple tool calls. `get_quota_summary` provides a snapshot of your account's health within your Google Cloud agent environment. If you need granular detail, `get_quota_usage` breaks down your current consumption. It prevents surprises when you scale your agents across large datasets.

Setup guide

Set up Fastn 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 Fastn 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="Fastn_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fastn tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Fastn MCP in Google ADK

You initialize the server using the McpToolset class. This links the server to your agent, exposing all Fastn tools for immediate use in your Gemini-powered workflows.

Absolutely. Since the agent can hold vast context, it uses the tools to trigger specific actions in Fastn based on that massive data set.

Yes. Use the tool_names filter during setup to limit access. You decide exactly which capabilities your agent can touch, keeping your setup secure.

Call `rotate_credentials` through your agent. It’s a direct operation that ensures your connections to external services remain secure and active.

Your credentials are stored securely via `store_credentials`. The MCP Server keeps them isolated, and no data is shared outside your defined connection parameters.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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