How to Use the DISQO MCP in CrewAI

Deploy a specialized crew of autonomous agents to handle consumer insights and DISQO data tasks.

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Connect DISQO MCP to CrewAI

Create your Vinkius account to connect DISQO 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 DISQO with CrewAI

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Autonomous Research Crews with DISQO

Assign an agent to `list_running_research_projects` while another monitors `list_consumer_insights`. Your CrewAI setup allows these agents to share memory and collaborate on complex research tasks. You don't manage the individual steps. You define the goal and the crew uses the MCP Server to gather the data and synthesize the results.

Targeted Audience Selection in CrewAI

Let your research agent call `list_largest_research_panels` to find the ideal audience for your campaign. The agent evaluates the size and metadata before passing its choice to the next agent in your CrewAI team. This automates the grunt work of audience sourcing. You get a ready-to-use segment list without manually checking panel health.

Proactive Insight Monitoring for CrewAI

Configure a monitor agent to periodically run `quick_behavioral_audit`. If the metrics shift, the agent alerts your lead analyst agent to perform a deep dive using `get_project_details`. Your CrewAI agents stay ahead of the curve. They identify changes in consumer behavior as they happen and flag them for human review.

Setup guide

Set up DISQO 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 DISQO tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the MCP URL directly into your agent definition. CrewAI will automatically load the DISQO tools and make them available to your agents.

Yes, by using shared memory, your agents can pass DISQO project IDs and results between each other. This allows for complex, multi-step research operations.

The server manages all connections through a secure transport layer. CrewAI agents process only the project metadata and insights you explicitly provide.

Use the tool filter in your MCP configuration to expose only the specific tools your agents need. This keeps your CrewAI setup clean and focused on your research goals.

The server provides project status, audience counts, and behavioral trends. It does not touch sensitive consumer PII during your CrewAI research tasks.

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