How to Use the Baserow MCP in OpenAI Agents SDK

Q: Can an OpenAI agent search for a specific record in my Baserow database?

Yes. The listrows tool supports a search parameter. Your agent can use this to find specific rows that match a query, then use the row ID with getrow to pull the full record.

Q: What's the best way to handle multiple Baserow databases with the OpenAI Agents SDK?

Use the discovery tools. Your agent can start with listworkspaces and listapplications to map out all your databases. This is more flexible than hardcoding IDs, especially if you add or remove databases later.

Build production agents that manage your Baserow data. The OpenAI Agents SDK gives you guardrails to safely create, update, and delete rows.

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Connect Baserow MCP to OpenAI Agents SDK

Create your Vinkius account to connect Baserow 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 Baserow with OpenAI Agents SDK

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Manage Baserow Rows from Your Agent

Give your OpenAI agent direct control over your Baserow tables. It can `create_row` with new data, `update_row` with fresh info, or `delete_row` when a record is no longer needed. The agent gets the exact data it needs using `get_row` for a single entry or `list_rows` for a whole set. Because you're using the OpenAI Agents SDK, you can set up guardrails to confirm these actions before they run. This isn't just a prototype; it's a production-ready way to let agents work with your no-code database without constant supervision.

Let Agents Discover Your Database Structure

Your agent doesn't need to have your Baserow schema hardcoded. It can dynamically explore your setup by calling `list_workspaces`, `list_applications`, and `list_tables`. Once it finds the right table, it uses `list_fields` to understand the data structure. This is great for building specialized agents. One agent could be an expert at navigating your workspaces, then hand off a specific table ID to another agent whose only job is to `update_row` entries in that table. It's how you build complex, reliable systems.

Build Safe Baserow Automations with an MCP Server

Connect your agent to this MCP Server and it automatically discovers all the Baserow tools. There's zero configuration needed to expose the functions. Your agent just knows how to interact with your database from the start. The real advantage is safety. You can trace every call in the OpenAI dashboard and use built-in validation to prevent your agent from running destructive actions like `delete_row` without approval. It’s the smart way to automate database tasks.

Setup guide

Set up Baserow 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 Baserow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Baserow 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="Baserow Agent",
            instructions="You have access to Baserow 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 Baserow MCP in OpenAI Agents SDK

Connect the OpenAI Agents SDK to this MCP Server. Your agent will automatically find the `create_row` tool and can call it with a JSON object of field data. You can add guardrails to review the data before the row is actually created.

Yes. The `list_rows` tool supports a search parameter. Your agent can use this to find specific rows that match a query, then use the row ID with `get_row` to pull the full record.

It's designed for that. The SDK includes guardrails that let you validate agent actions before they execute. This lets you safely use tools like `update_row` and `delete_row` on live data.

Use the discovery tools. Your agent can start with `list_workspaces` and `list_applications` to map out all your databases. This is more flexible than hardcoding IDs, especially if you add or remove databases later.

This server only accesses the Baserow data your agent requests, like row contents, field names, and table lists. All connections are ephemeral and authenticated via a single Vinkius token. Your data isn't stored or logged by the MCP server itself.

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