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How to Use the Crisp MCP in CrewAI

Deploy specialized support teams in CrewAI powered by Crisp MCP Server data.

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Works with every AI agent you already use

…and any MCP-compatible client

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CrewAI

Connect Crisp MCP to CrewAI

Create your Vinkius account to connect Crisp 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.

GDPR Free for Subscribers

Crisp support crews in CrewAI

Assign a researcher agent to use `list_conversations` and find open tickets. It gathers the context for your other CrewAI agents. This keeps your team organized. You don't have to manually assign tasks to your agents.

Automated responses using CrewAI

Let your moderator agent use `send_message` to close out simple support requests. It frees up your humans for the tricky stuff. Your CrewAI agents handle the routine work. They only escalate when they hit a wall.

Visitor insights for CrewAI teams

Have your analyst agent run `get_visitor_profile` to understand who is asking for help. The agent tailors the support response based on that data. It makes your automated support feel a lot more personal. Your agents act like they know the visitor.

Setup guide

Set up Crisp MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Crisp MCP in CrewAI

Put the server URL in your agent definition list. Your CrewAI agents will automatically pull the tools you need.
Yes, using the `send_message` tool allows your agents to post replies. You control the agent permissions so they don't go rogue.
The MCP server acts as a gatekeeper. Your Crisp visitor transcripts never leave your isolated environment.
It works perfectly. You can give the manager agent access to the tools while the sub-agents focus on specific tasks.
Only the public-facing chat logs and profile tags are accessible. We ensure your backend database credentials are never shared.

Start using the Crisp MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for Crisp. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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