How to Use the Hasura (Instant GraphQL & REST Engine) MCP in OpenAI Agents SDK

Q: Can my OpenAI Agent modify the database schema in Hasura (Instant GraphQL & REST Engine)?

Yes, using the executemetadata tool. However, this tool is powerful and potentially destructive. We recommend using the OpenAI Agents SDK's guardrail features to restrict access to this tool to only specialized, admin-level agents.

Give your OpenAI Agent direct access to query and manage your Hasura (Instant GraphQL & REST Engine) with full tracing and safety guardrails.

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Connect Hasura (Instant GraphQL & REST Engine) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Hasura (Instant GraphQL & REST Engine) 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 Hasura (Instant GraphQL & REST Engine) with OpenAI Agents SDK

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Run GraphQL Queries from Your Agent

Connect your agent to your Hasura database. It can now run queries and mutations using the `execute_graphql` tool. There's no need to write and maintain a separate API wrapper for every database operation. Your agent can build complex queries on the fly to get exactly the data it needs. Since it's using the OpenAI Agents SDK, every call is traced, and you can apply guardrails to prevent unintended actions.

Let Your Agent Self-Monitor the Database

This isn't just for querying. Your agent can use `check_health` to make sure the Hasura instance is responsive before trying to run a complex job. It can also pull the server version with `get_version` to adapt its behavior. You can build more resilient systems this way. If a health check fails, the agent can notify a human or switch to a backup data source instead of just failing silently.

Analyze and Manage Schemas with your OpenAI Agent

Give your agent the tools to understand your database structure. With `explain_graphql`, it can see the raw SQL for a query and optimize it before execution. This is critical for avoiding slow queries that bog down your database. For admin-focused agents, `execute_metadata` provides a way to manage the Hasura schema directly. You can use OpenAI's guardrails to limit this powerful tool to specific, trusted agents on your team.

Setup guide

Set up Hasura (Instant GraphQL & REST Engine) 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 Hasura (Instant GraphQL & REST Engine) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Hasura (Instant GraphQL & REST Engine) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Hasura (Instant GraphQL & REST Engine) 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="Hasura (Instant GraphQL & REST Engine) Agent",
            instructions="You have access to Hasura (Instant GraphQL & REST Engine) 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 Hasura (Instant GraphQL & REST Engine) MCP in OpenAI Agents SDK

The SDK automatically discovers the tools in this MCP server. You just pass the server endpoint to your agent's configuration, and it can immediately start using tools like `execute_graphql` to interact with your Hasura instance.

You get OpenAI's built-in safety features and tracing dashboard out of the box. You can see every single query your agent runs against Hasura and set up guardrails to block destructive actions, which is much harder to do from scratch.

Yes, using the `execute_metadata` tool. However, this tool is powerful and potentially destructive. We recommend using the OpenAI Agents SDK's guardrail features to restrict access to this tool to only specialized, admin-level agents.

No, it's a single endpoint managed by Vinkius. In your Python code, you just instantiate the `MCPServerStreamableHttp` client with the URL and pass it to your agent. The tools are discovered automatically.

Your GraphQL queries and Hasura metadata are passed through the Vinkius MCP Server, which acts as a secure proxy. The OpenAI platform gives you a full trace of every operation, so you have a complete audit log of what data your agent accessed and when.

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