Atlan MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Atlan through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"atlan": {
"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 Atlan, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Atlan MCP Server
Connect your Atlan workspace to any AI agent and empower it to become a master data steward. By linking the leading Active Metadata Management platform with agents, you gain conversational governance and instant data cataloging capabilities on demand.
LangChain's ecosystem of 500+ components combines seamlessly with Atlan through native MCP adapters. Connect 6 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 — Query your entire connected data ecosystem (tables, dashboards, columns) via natural text to discover lineage and trusted data instantly
- Business Glossaries — Retrieve organizational glossaries containing verified business terms, acronyms, and trusted definitions used by your enterprise
- Classifications & Policies — List active data classifications (like PII or Confidential tags) and configured sharing purposes (data policies) across the estate
- Users & Personas — Inspect registered users and configured access control profiles (Personas) aligned to specific business roles
The Atlan MCP Server exposes 6 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 Atlan to LangChain via MCP
Follow these steps to integrate the Atlan 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 6 tools from Atlan via MCP
Why Use LangChain with the Atlan MCP Server
LangChain provides unique advantages when paired with Atlan through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Atlan 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 Atlan queries for multi-turn workflows
Atlan + LangChain Use Cases
Practical scenarios where LangChain combined with the Atlan MCP Server delivers measurable value.
RAG with live data: combine Atlan tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Atlan, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Atlan tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Atlan tool call, measure latency, and optimize your agent's performance
Atlan MCP Tools for LangChain (6)
These 6 tools become available when you connect Atlan to LangChain via MCP:
list_classifications
) configured in Atlan for data governance purposes. List all classifications defined in Atlan
list_glossaries
List all business glossaries in Atlan
list_personas
List all Atlan Personas
list_purposes
List all Atlan Purposes
list_users
List all users in the Atlan workspace
search_assets
Search for data assets in the Atlan Data Catalog
Example Prompts for Atlan in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Atlan immediately.
"Search for any data assets related to 'churn prediction'."
"What business glossaries do we have configured in our metadata?"
"List all security classifications defined across our catalogs."
Troubleshooting Atlan MCP Server with LangChain
Common issues when connecting Atlan to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAtlan + LangChain FAQ
Common questions about integrating Atlan MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Atlan with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Atlan to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.