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Collibra MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Collibra through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Collibra Assistant",
            instructions=(
                "You help users interact with Collibra. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Collibra"
        )
        print(result.final_output)

asyncio.run(main())
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About Collibra MCP Server

Connect your AI to Collibra, the data intelligence platform that helps organizations find, understand, and trust their data.

The OpenAI Agents SDK auto-discovers all 10 tools from Collibra through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Collibra, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Asset Search — Search for data assets by name, type, or domain and retrieve their full metadata.
  • Community Browsing — List all communities and domains to navigate your data governance structure.
  • Asset Details — Inspect any asset's attributes, responsibilities, and relationships.

The Collibra MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Collibra to OpenAI Agents SDK via MCP

Follow these steps to integrate the Collibra MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Collibra

Why Use OpenAI Agents SDK with the Collibra MCP Server

OpenAI Agents SDK provides unique advantages when paired with Collibra through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Collibra + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Collibra MCP Server delivers measurable value.

01

Automated workflows: build agents that query Collibra, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Collibra, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Collibra tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Collibra to resolve tickets, look up records, and update statuses without human intervention

Collibra MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Collibra to OpenAI Agents SDK via MCP:

01

create_asset

Create a new asset in Collibra

02

get_asset

Retrieve detailed information about a specific asset

03

get_community_details

Retrieve detailed information about a specific community

04

list_asset_types

Retrieve a list of available asset types

05

list_assets

Retrieve a list of assets in Collibra

06

list_communities

Retrieve a list of communities in Collibra

07

list_domain_types

Retrieve a list of available domain types

08

list_domains

Retrieve a list of domains in Collibra

09

list_statuses

Retrieve a list of available asset statuses

10

search_assets

Search for assets by name

Example Prompts for Collibra in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Collibra immediately.

01

"Show me all communities in Collibra."

02

"Search for assets named 'Customer Data'."

03

"Who is the Data Steward assigned to the 'Product Inventory' asset?"

Troubleshooting Collibra MCP Server with OpenAI Agents SDK

Common issues when connecting Collibra to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Collibra + OpenAI Agents SDK FAQ

Common questions about integrating Collibra MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Collibra to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.