How do I get Judge.me API credentials?

Log in to your Judge.me account, navigate to Settings > Integrations > Developers, and find your Private API Token. You also need your shop's primary domain.

Does it support customer questions?

Yes, you can list and retrieve customer questions and answers using the corresponding tools in this MCP.

Can I see review media?

Yes, the list_medias tool allows you to retrieve images and videos that customers have attached to their reviews.

Judge.me MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Judge.me
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Judge.me through Vinkius, pass the Edge URL in the `mcps` parameter and every Judge.me tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Judge.me Specialist",
    goal="Help users interact with Judge.me effectively",
    backstory=(
        "You are an expert at leveraging Judge.me tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Judge.me "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About Judge.me MCP Server

Empower your AI agents with Judge.me's comprehensive product review platform. This MCP server allows you to list and retrieve product reviews, track customer questions and answers, manage coupons, and view shop settings directly through the Judge.me API. Ideal for automating social proof management and customer feedback analysis.

When paired with CrewAI, Judge.me becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Judge.me tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

The Judge.me MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Judge.me to CrewAI via MCP

Follow these steps to integrate the Judge.me MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Judge.me

Why Use CrewAI with the Judge.me MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Judge.me through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Judge.me + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Judge.me MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Judge.me for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Judge.me, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Judge.me tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Judge.me against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Judge.me MCP Tools for CrewAI (10)

These 10 tools become available when you connect Judge.me to CrewAI via MCP:

get_product

Essential for providing a summary of a product's performance. Retrieves details for a specific product

get_question

Use this before preparing an official answer. Retrieves details for a specific question

get_review

Returns deep-dive information including metadata and moderation status. Use this when analyzing a particular customer case or response. Retrieves details for a specific review

get_settings

me app for the shop, including review widgets and email settings. Useful for system configuration auditing. Retrieves shop settings for Judge.me

list_answers

Use this to audit responses and check if queries have been resolved. Lists all answers to questions

list_coupons

me (often used as rewards for reviews). Useful for auditing incentive programs. Lists all active discount coupons

list_medias

Essential for analyzing user-generated content (UGC). Lists all media (images/videos) attached to reviews

list_products

me. Includes product names, IDs, and aggregate review counts. Use this to identify products for review analysis. Lists all products in the shop

list_questions

me Q&A feature. Returns question text, status, and IDs. Use this to identify customer inquiries that need answers. Lists all customer questions

list_reviews

me platform. Returns reviewer names, ratings, review titles, and bodies. Use this to monitor customer sentiment and analyze product feedback. Lists all product reviews

Example Prompts for Judge.me in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Judge.me immediately.

"List all recent product reviews in Judge.me."

"Show me the questions asked for product ID '123'."

"Check for any active discount coupons."

Troubleshooting Judge.me MCP Server with CrewAI

Common issues when connecting Judge.me to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Judge.me + CrewAI FAQ

Common questions about integrating Judge.me MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.