How to Use the Judge.me MCP in CrewAI

Q: Can CrewAI agents collaborate on resolving a Judge.me customer question?

Yes. A researcher agent can fetch the question using getquestion, while a writer agent drafts the response and passes it to a moderator agent for final verification.

Q: How do I limit which tools a CrewAI agent can access on this server?

Use the MCPServerHTTP class from the crewai.mcp package. This lets you apply a toolfilter so a specific agent can only access listreviews and not administrative settings.

Coordinate a team of autonomous CrewAI agents to manage your Judge.me storefront reviews and customer inquiries.

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Connect Judge.me MCP to CrewAI

Create your Vinkius account to connect Judge.me 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 Judge.me with CrewAI

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Multi-Agent Review Sentiment Analysis

This multi-agent setup deploys `list_reviews` and `get_product` to analyze customer feedback trends. One specialized agent gathers the raw reviews while a second analyst agent correlates the scores against specific product IDs. Because CrewAI agents share memory, the analyst agent remembers past trends during a run. This allows the crew to spot sudden drops in product quality without manual database queries.

Autonomous Storefront Q&A Support

This operation relies on `list_questions`, `get_question`, and `list_answers` to handle customer inquiries. A researcher agent scans for new questions, while a support agent crafts accurate responses. A third supervisor agent verifies the draft response against your store's settings. The crew operates autonomously, keeping your public Q&A board active and answered.

CrewAI Automated MCP Server Audits

This workflow executes `list_coupons` and `get_settings` to audit your customer incentive programs over the MCP connection. A compliance agent checks if the active coupons match your review widget configurations. If the agent detects expired coupons or misconfigured rewards, it flags the issue for your operations team. This prevents shoppers from leaving reviews and receiving broken discount codes.

Setup guide

Set up Judge.me 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 Judge.me tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You can pass the MCP server URL directly into the agent's config using the `mcps` parameter. Alternatively, use `MCPServerHTTP` with a `tool_filter` to give specific agents access to tools like `list_reviews`.

Yes. A researcher agent can fetch the question using `get_question`, while a writer agent drafts the response and passes it to a moderator agent for final verification.

The integration supports stdio, SSE, and Streamable HTTP transports. This allows your Python-based crew to communicate with the Node-based MCP server without compatibility issues.

Use the `MCPServerHTTP` class from the `crewai.mcp` package. This lets you apply a `tool_filter` so a specific agent can only access `list_reviews` and not administrative settings.

This server handles customer questions, review media, and active discount coupons. All operations execute inside an isolated V8 sandbox with zero local caching, ensuring your store's sensitive configuration never persists on disk.

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