How to Use the Atlan MCP in CrewAI

Q: How do I connect CrewAI to the Atlan MCP Server?

Pass your Vinkius server URL directly inside the mcps array of your CrewAI Agent definition. Python handles the Atlan connection setup automatically.

Q: Can I limit which CrewAI agents can access Atlan glossaries?

Yes, use MCPServerHTTP from crewai.mcp along with toolfilter to restrict Atlan tools like listglossaries to specific CrewAI agents.

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Connect Atlan MCP to CrewAI

Create your Vinkius account to connect Atlan to CrewAI 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 Atlan with CrewAI

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Coordinate multi-agent cataloging via this MCP Server

The `search_assets` tool gives your CrewAI research agent the ability to hunt down undocumented Atlan schemas. A separate CrewAI analyst agent then evaluates the Atlan results to propose descriptions. You pass the Vinkius URL directly in the mcps list of your CrewAI Atlan configuration. This allows your CrewAI agents to share Atlan findings through their common memory pool.

Delegate governance reviews to specialized CrewAI agents

The `list_purposes` tool allows your CrewAI compliance agent to verify if Atlan usage matches corporate policies. Simultaneously, a CrewAI moderator agent flags Atlan violations for immediate review. You restrict Atlan tool access using CrewAI's tool_filter configuration. This ensures only your designated CrewAI compliance agent can access sensitive Atlan policy definitions.

Map glossary terms automatically using CrewAI

The `list_glossaries` tool feeds your Atlan business glossary terms to a CrewAI terminology agent using MCP tools. Matching these Atlan terms against assets found via `search_assets` happens automatically within CrewAI. This multi-agent CrewAI setup runs Atlan catalog audits autonomously in the background. You receive a complete Atlan mapping report from CrewAI without manually linking business terms to technical tables.

Setup guide

Set up Atlan MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Atlan tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Atlan Analyst",
    goal="Access and analyze Atlan data via MCP.",
    backstory="Expert analyst with direct Atlan access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Atlan transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Atlan Analyst",
        goal="Access and analyze Atlan data via MCP.",
        backstory="Expert analyst with direct Atlan access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Atlan transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Atlan. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Atlan MCP in CrewAI

Pass your Vinkius server URL directly inside the `mcps` array of your CrewAI Agent definition. Python handles the Atlan connection setup automatically.

Yes, use `MCPServerHTTP` from `crewai.mcp` along with `tool_filter` to restrict Atlan tools like `list_glossaries` to specific CrewAI agents.

Your CrewAI agents leverage shared memory. When one CrewAI agent runs `search_assets`, the entire crew can access those Atlan catalog details.

CrewAI supports stdio, SSE, and Streamable HTTP for connecting to the Atlan server. The CrewAI framework handles the transport negotiation behind the scenes.

CrewAI executes all Atlan catalog operations within your local execution context. Vinkius secures the communication channel, ensuring Atlan asset metadata never leaks to public training sets.

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