How do I authenticate with Collibra?

This integration uses Basic Authentication with your Collibra instance URL, username, and password.

What is an asset in Collibra?

An asset is any cataloged object: a business term, a database table, a column, a report, or a data policy, among others.

Can I create new communities or domains?

The current version focuses on browsing metadata and creating assets. Community and domain creation may be added in future updates.

Collibra MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Collibra
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Collibra through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "collibra": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Collibra, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Collibra MCP Server

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

LangChain's ecosystem of 500+ components combines seamlessly with Collibra through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Collibra MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Collibra via MCP

Why Use LangChain with the Collibra MCP Server

LangChain provides unique advantages when paired with Collibra through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Collibra MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Collibra queries for multi-turn workflows

Collibra + LangChain Use Cases

Practical scenarios where LangChain combined with the Collibra MCP Server delivers measurable value.

RAG with live data: combine Collibra tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Collibra, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Collibra tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Collibra tool call, measure latency, and optimize your agent's performance

Collibra MCP Tools for LangChain (10)

These 10 tools become available when you connect Collibra to LangChain via MCP:

create_asset

Create a new asset in Collibra

get_asset

Retrieve detailed information about a specific asset

get_community_details

Retrieve detailed information about a specific community

list_asset_types

Retrieve a list of available asset types

list_assets

Retrieve a list of assets in Collibra

list_communities

Retrieve a list of communities in Collibra

list_domain_types

Retrieve a list of available domain types

list_domains

Retrieve a list of domains in Collibra

list_statuses

Retrieve a list of available asset statuses

search_assets

Search for assets by name

Example Prompts for Collibra in LangChain

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

"Show me all communities in Collibra."

"Search for assets named 'Customer Data'."

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

Troubleshooting Collibra MCP Server with LangChain

Common issues when connecting Collibra to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Collibra + LangChain FAQ

Common questions about integrating Collibra MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.