How to Use the Medallia MCP in CrewAI

Deploy a specialized crew of agents using CrewAI to automate your Medallia feedback analysis and response strategy.

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Connect Medallia MCP to CrewAI

Create your Vinkius account to connect Medallia 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 Medallia with CrewAI

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Multi-agent feedback analysis

Assign research agents to use `search_responses` while an analyst agent summarizes the findings. This allows for deep, collaborative insight generation across your feedback programs. Each agent operates with specific instructions. They share memory to ensure the analyst doesn't repeat the research already performed by the first agent.

Autonomous alert resolution

Let a monitor agent watch `list_alerts` continuously. When a critical issue arises, the monitor hands off to a resolution agent that uses `get_alert` to identify the customer. This hierarchy prevents human oversight fatigue. Your agents handle the repetitive tasks, escalating only the items that need a real person's touch.

Program-wide survey auditing

Use a specialized auditor agent to scan `list_surveys` and `get_program_details`. The crew can flag programs that haven't received responses in a set timeframe. It keeps your feedback infrastructure healthy without manual checks. The agents manage the routine maintenance while you focus on the strategy.

Setup guide

Set up Medallia 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 Medallia tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL in your agent's MCP configuration list. The framework will automatically register all 10 tools for the agent to use.

Yes, they share memory of previous tool outputs. If one agent finds a response, the others can act on that specific data point immediately.

You define a tool filter in the configuration to restrict which agents have access to sensitive operations like user management.

The MCP server maintains session isolation. Only the agents in your current crew can view the survey responses and alert details returned by the tools.

Your customer feedback is handled in a transient memory space. Once the agent task ends, the data is wiped from the active session state.

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