How to Use the Attio MCP in CrewAI

Q: How do I filter Attio tools for my CrewAI agents?

Use the toolfilter feature to restrict which tools each agent can access. This ensures your data-entry agent can't accidentally run broad global searches.

Deploy autonomous agent crews to manage your Attio CRM operations.

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Connect Attio MCP to CrewAI

Create your Vinkius account to connect Attio 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 Attio with CrewAI

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Coordinated CRM operations in CrewAI

Assign research agents to use `search_records` while action agents handle `assert_record` updates. They share context to avoid redundant work. Your crew acts as a unit. They divide the labor so your operations run faster than a single agent ever could.

Role-based workspace management

Create specialized agents for different objects. One agent manages accounts using `list_objects`, while another focuses on specific record details. It keeps your agent instructions focused. Each member of the crew only sees the tools required for their specific role.

Autonomous record monitoring

Set up a monitor agent to periodically run `query_records`. It detects changes and triggers the rest of your crew to respond. It turns your static CRM into a reactive system. Your team handles the follow-up while the agents manage the data.

Setup guide

Set up Attio 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 Attio tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Attio 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="Attio Analyst",
        goal="Access and analyze Attio data via MCP.",
        backstory="Expert analyst with direct Attio access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Attio 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 Attio. 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 Attio MCP in CrewAI

Yes. By using shared memory, your researchers can pass record IDs found via `search_records` to the action agents for updating.

The server supports multiple transport types including SSE and HTTP. This keeps the connection steady even when your agents are working through long sequences.

Use the `tool_filter` feature to restrict which tools each agent can access. This ensures your data-entry agent can't accidentally run broad global searches.

Every request is ephemeral. We use a secure, isolated sandbox for each crew session, ensuring your sensitive CRM information is never cached or logged by us.

The server only reads or writes the records you explicitly command it to touch. Your workspace attributes and records remain under your control at all times.

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