How do I find my Okendo Subscriber ID?

You can find your Subscriber ID in the Okendo dashboard settings. It is a unique identifier for your specific store instance.

Does this support AI-generated review summaries?

This implementation focuses on retrieving raw review and Q&A data. If your Okendo plan includes AI summaries, they may be accessible within the detailed review metadata.

Can I see photos uploaded by customers?

Yes! Use the `list_review_media` tool to retrieve a list of all visual assets (photos and videos) provided by your customers in their feedback.

Okendo Reviews MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Okendo Reviews
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Okendo Reviews Specialist",
    goal="Help users interact with Okendo Reviews effectively",
    backstory=(
        "You are an expert at leveraging Okendo Reviews 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 Okendo Reviews "
        "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 Okendo Reviews MCP Server

Connect your Okendo account to your AI agent and gain deep insights into your customer feedback and social proof through natural conversation.

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

What you can do

Review Monitoring — List and inspect customer reviews, including star ratings, titles, and body content.
Q&A Oversight — Access customer questions and their respective answers to identify common product concerns.
Aggregate Ratings — Retrieve overall store and product-level star ratings and review counts.
Product Intelligence — View all products tracked in Okendo and access their specific review metrics.
Media Access — List photos and videos uploaded by customers as part of their reviews.
Store Settings — Retrieve high-level configuration and display settings for your Okendo instance.
Deep Inspection — Fetch complete metadata for specific reviews or questions using their unique IDs.

The Okendo Reviews 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 Okendo Reviews to CrewAI via MCP

Follow these steps to integrate the Okendo Reviews 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 Okendo Reviews

Why Use CrewAI with the Okendo Reviews MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Okendo Reviews 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

Okendo Reviews + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Okendo Reviews MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Okendo Reviews 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 Okendo Reviews, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Okendo Reviews 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 Okendo Reviews against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Okendo Reviews MCP Tools for CrewAI (10)

These 10 tools become available when you connect Okendo Reviews to CrewAI via MCP:

get_aggregate_ratings

Get store aggregate ratings

get_okendo_product_details

Get product review info

get_question_details

Get specific question details

get_review_details

Get specific review details

get_store_settings

Get Okendo store settings

list_customer_questions

List customer Q&A questions

list_okendo_products

List products tracked in Okendo

list_question_answers

List answers for a question

list_review_media

List customer-uploaded media

list_reviews

List customer reviews

Example Prompts for Okendo Reviews in CrewAI

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

"Show me the 5 most recent customer reviews."

"What is the overall star rating for our store?"

"List the recent questions asked by customers on the site."

Troubleshooting Okendo Reviews MCP Server with CrewAI

Common issues when connecting Okendo Reviews 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.

Okendo Reviews + CrewAI FAQ

Common questions about integrating Okendo Reviews 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.