Atlan MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Atlan as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Atlan. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Atlan?"
)
print(response)
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.
LlamaIndex agents combine Atlan tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Atlan MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Atlan
Why Use LlamaIndex with the Atlan MCP Server
LlamaIndex provides unique advantages when paired with Atlan through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Atlan tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Atlan tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Atlan, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Atlan tools were called, what data was returned, and how it influenced the final answer
Atlan + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Atlan MCP Server delivers measurable value.
Hybrid search: combine Atlan real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Atlan to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Atlan for fresh data
Analytical workflows: chain Atlan queries with LlamaIndex's data connectors to build multi-source analytical reports
Atlan MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Atlan to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Atlan to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAtlan + LlamaIndex FAQ
Common questions about integrating Atlan MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.