How to Use the Collibra MCP in OpenAI Agents SDK

Manage your data catalog directly from OpenAI Agents SDK with this Collibra MCP Server.

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Connect Collibra MCP to OpenAI Agents SDK

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

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Automate Collibra asset creation in OpenAI Agents SDK

You can now push new entries into your governance stack without leaving your code. The `create_asset` tool registers objects instantly while the agent handles the heavy lifting. Your production agent monitors the environment and calls `get_asset` to verify state changes before finishing a task. It keeps your data registry in sync with your live infrastructure.

Search and filter Collibra domains via OpenAI Agents SDK

Stop digging through web UIs to find specific data segments. Use `list_domains` and `list_communities` to map out your organization's hierarchy programmatically. When your agent needs context on a specific field, `search_assets` pulls the metadata into your memory buffer. This MCP Server makes your agent an actual contributor to your data governance workflow.

Validate metadata types with OpenAI Agents SDK

Ensure your agent uses the correct schemas by invoking `list_asset_types` and `list_statuses`. It prevents runtime errors by checking what the API expects before sending a request. Your agent maintains strict compliance by querying `list_domain_types` to categorize assets accurately. It turns your agent into a guardrail for your data quality efforts.

Setup guide

Set up Collibra 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 Collibra tools at runtime.
3

Create your Agent

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

Run the agent

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

You instantiate an MCPServerStreamableHttp object pointing to your Vinkius endpoint. Pass that into your Agent constructor and the tools appear automatically.

Yes. Every action is mediated through your Vinkius-managed endpoint. The agent only executes what you explicitly authorize.

It does. You can wrap the MCP tool calls in your existing validation logic to ensure the agent doesn't overwrite production metadata.

Vinkius handles the handshake. You provide the token once, and the server manages the connection lifecycle for your agent.

Your governance metadata stays within your perimeter. The server acts as a scoped bridge, ensuring only the specific asset names and community IDs you request are transmitted.

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