How to Use the Fauna (Serverless DB) MCP in Google ADK

Q: How do I connect Fauna (Serverless DB) to a Google ADK agent?

Install google-adk and define your StreamableHttpServerParameters with the Vinkius URL. Pass this configuration directly to your LlmAgent toolset parameter.

Connect Gemini models to your serverless database using Google ADK and managed MCP servers.

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Connect Fauna (Serverless DB) MCP to Google ADK

Create your Vinkius account to connect Fauna (Serverless DB) 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 Fauna (Serverless DB) with Google ADK

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Perplexity

Long-context database reasoning with Gemini

The `execute_fql` tool lets you feed database payloads directly into Gemini's context window. You initialize the MCP Server using `McpToolset` and pass it to your `LlmAgent`. This setup allows your agent to analyze entire collections at once. Instead of writing batch scripts, you let the agent retrieve thousands of rows and identify trends instantly.

Bridging BigQuery and Fauna via Google ADK

The `execute_fql` tool acts as the execution bridge between your enterprise warehouse and your operational serverless database. Your agent uses this MCP Server to sync data in one execution loop. You do not have to build custom ETL pipelines for simple data syncs. Gemini reads the warehouse data, constructs the correct FQL payload, and updates your live database.

Restricted tool exposure for enterprise safety

The `execute_fql` tool can be isolated using the `tool_names` filter in your `McpToolset` configuration. This ensures your Gemini agent only accesses database operations when specifically required. Restricting tool access reduces the model's action space. It prevents the agent from attempting unauthorized database queries during conversational turns, protecting your operational data.

Setup guide

Set up Fauna (Serverless DB) 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 Fauna (Serverless DB) 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="Fauna (Serverless DB)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Fauna (Serverless DB) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Fauna (Serverless DB) MCP in Google ADK

Install `google-adk` and define your `StreamableHttpServerParameters` with the Vinkius URL. Pass this configuration directly to your `LlmAgent` toolset parameter.

Yes. Gemini's reasoning capabilities allow it to generate valid FQL for the `execute_fql` tool. It handles collection creation, indexing, and document updates based on your natural language instructions.

Yes. The integration supports both Stdio and secure HTTP transports. Vinkius secures the connection to your serverless database, keeping your data transfers safe.

You configure the timeout limits within your Google ADK client settings. The MCP Server respects these limits, failing gracefully if the database takes too long to respond.

Your FQL query strings and database JSON documents are handled in an ephemeral V8 sandbox. This secure MCP Server environment ensures your operational data is never cached or exposed.

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