How to Use the Fauna (Serverless DB) MCP in OpenAI Agents SDK

Q: How do I configure Fauna (Serverless DB) with OpenAI Agents SDK?

Install openai-agents and set up the streamable HTTP server parameters. Pass the Vinkius endpoint token to MCPServerStreamableHttp and add it to your agent constructor to complete the MCP setup.

Q: Does the OpenAI Agents SDK cache the Fauna (Serverless DB) tool schema?

Yes. Setting cacheToolsList=True prevents the SDK from refetching the tool definition on every turn. This optimization cuts down on initialization latency for your database queries.

Q: How does the agent handle complex FQL transactions?

The executefql tool accepts any valid FQL string, meaning your agent can run multi-document transactions in a single round-trip. You do not need to write multiple steps; the agent writes one transactional query.

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Connect Fauna (Serverless DB) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Fauna (Serverless DB) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Direct FQL execution via OpenAI Agents SDK

The `execute_fql` tool lets your agent write and run database queries without pre-defined endpoints or boilerplate code. You pass the server URL to `MCPServerStreamableHttpParams` and let the SDK handle discovery. Look, writing raw database queries from an LLM can make people nervous. That is why you use this MCP Server with built-in guardrails to validate every query before it hits your production Fauna instance.

Multi-agent handoffs for database operations

The `execute_fql` tool runs within a dedicated database agent using the MCP standard while your supervisor agent handles user interaction. You define strict boundaries so the database agent only receives sanitized, structured instructions. This division of labor keeps your core logic clean. When a database transaction completes, the worker agent hands control back to the main loop with the exact JSON payload returned by Fauna.

Tracing Fauna queries in the OpenAI dashboard

Every database call made through the `execute_fql` tool gets captured in your telemetry pipeline automatically. You do not have to write custom logging wrappers to see which queries are causing latency. Open your dashboard to inspect the raw FQL strings and the execution times. This visibility helps you spot slow queries and optimize your Fauna indexes before they impact your users.

Setup guide

Set up Fauna (Serverless DB) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Fauna (Serverless DB) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Fauna (Serverless DB) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Fauna (Serverless DB) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Fauna (Serverless DB) Agent",
            instructions="You have access to Fauna (Serverless DB) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Fauna (Serverless DB) MCP in OpenAI Agents SDK

Install `openai-agents` and set up the streamable HTTP server parameters. Pass the Vinkius endpoint token to `MCPServerStreamableHttp` and add it to your agent constructor to complete the MCP setup.

Yes. You set permissions on the Fauna side using security roles. The `execute_fql` tool only executes actions allowed by the database key you configure in your Vinkius dashboard.

Yes. Setting `cacheToolsList=True` prevents the SDK from refetching the tool definition on every turn. This optimization cuts down on initialization latency for your database queries.

The `execute_fql` tool accepts any valid FQL string, meaning your agent can run multi-document transactions in a single round-trip. You do not need to write multiple steps; the agent writes one transactional query.

The MCP Server processes only your FQL query strings and database JSON documents over an ephemeral, zero-trust V8 sandbox. No database credentials or raw payloads are stored on Vinkius servers.

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