Fauna (Serverless DB) MCP Server for Google ADKGive Google ADK instant access to 1 tools to Execute Fql
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Fauna (Serverless DB) 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 for Google ADK
The Fauna (Serverless DB) MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="fauna_serverless_db_agent",
instruction=(
"You help users interact with Fauna (Serverless DB) "
"using 1 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 Fauna (Serverless DB) MCP Server
Connect your Fauna serverless database to any AI agent and manage your data infrastructure through natural conversation and powerful FQL queries.
Google ADK natively supports Fauna (Serverless DB) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 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
- Execute FQL — Run any Fauna Query Language (FQL) command to read, create, update, or delete data across your database.
- Data Exploration — List collections, query indexes, and fetch specific documents directly from your AI interface.
- Parameterized Queries — Use the arguments field to pass complex JSON data safely into your FQL execution logic.
- Schema Management — Inspect and manage your database schema, including collections and indexes, using standard FQL commands.
The Fauna (Serverless DB) MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Fauna (Serverless DB) tools available for Google ADK
When Google ADK connects to Fauna (Serverless DB) through Vinkius, your AI agent gets direct access to every tool listed below — spanning fauna, fql, serverless-database, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Execute fql on Fauna (Serverless DB)
Can be used for reading, creating, updating, or deleting data depending on the FQL string provided. Execute a Fauna Query Language (FQL) query
Connect Fauna (Serverless DB) to Google ADK via MCP
Follow these steps to wire Fauna (Serverless DB) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Fauna (Serverless DB) MCP Server
Google ADK provides unique advantages when paired with Fauna (Serverless DB) 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 Fauna (Serverless DB)
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 Fauna (Serverless DB) tools with BigQuery, Vertex AI, and Cloud Functions
Fauna (Serverless DB) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Fauna (Serverless DB) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Fauna (Serverless DB) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Fauna (Serverless DB) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Fauna (Serverless DB) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Fauna (Serverless DB)
Example Prompts for Fauna (Serverless DB) in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Fauna (Serverless DB) immediately.
"List all documents in the 'Products' collection using FQL."
"Find a user document where the email is 'dev@example.com'."
"Create a new entry in the 'Logs' collection with the message 'System started'."
Troubleshooting Fauna (Serverless DB) MCP Server with Google ADK
Common issues when connecting Fauna (Serverless DB) to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkFauna (Serverless DB) + Google ADK FAQ
Common questions about integrating Fauna (Serverless DB) 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?
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