How to Use the GoZen Testimonials MCP in CrewAI

Q: How do I configure GoZen Testimonials in CrewAI?

Install the framework with pip install crewai "crewaitools". You can then pass your Vinkius MCP endpoint URL directly into the agent's mcps parameter for instant access.

Q: How do I restrict a CrewAI agent from deleting testimonials?

Use the MCPServerHTTP class with a toolfilter to expose only specific tools. You can allow listtestimonials while completely blocking access to deletetestimonial via the MCP Server configuration.

Q: Does this setup support custom tag categorization?

Your agents can use listtags to retrieve your organizational structure. They can then categorize incoming video submissions before deciding which display widget to place them in.

Q: How is my GoZen Testimonials customer data protected when using CrewAI?

Customer video files and submission details retrieved via gettestimonial are handled through Vinkius's ephemeral sandboxes. Your credentials and customer data are never cached or exposed to external networks.

Coordinate multi-agent teams to collect, review, and display customer feedback with CrewAI and the GoZen Testimonials MCP Server.

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Connect GoZen Testimonials MCP to CrewAI

Create your Vinkius account to connect GoZen Testimonials 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 GoZen Testimonials with CrewAI

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Collaborative Moderation Crews

The `list_testimonials` tool allows your research agent to gather unapproved video submissions from GoZen. This agent compiles the list and hands it off to a moderator agent. The moderator agent then runs `approve_testimonial` on submissions that match your brand guidelines. CrewAI's shared memory ensures both agents stay aligned on which testimonials have already been processed.

Autonomous Collection via GoZen Testimonials MCP Server

The `create_form` tool provisions landing pages for video collection without human intervention. Your outreach agent triggers this tool when a customer completes a milestone. CrewAI coordinates this task sequentially, passing the generated form ID to your messaging agent. The agent then delivers the link directly to the customer, tracking progress using `get_form`.

Smart Widget Deployment

The `create_widget` tool formats and publishes customer video walls on your site. Your design agent analyzes existing layouts with `list_widgets` and builds a new widget optimized for specific landing pages. You can restrict this agent's access using CrewAI's `tool_filter` configuration. This ensures the agent only interacts with styling tools and cannot accidentally delete testimonials.

Setup guide

Set up GoZen Testimonials 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 GoZen Testimonials tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Install the framework with `pip install crewai "crewai[tools]"`. You can then pass your Vinkius MCP endpoint URL directly into the agent's `mcps` parameter for instant access.

Yes, CrewAI's hierarchical execution allows different agents to call tools like `list_testimonials` and `approve_testimonial` in parallel. The shared context keeps their actions synchronized.

Use the `MCPServerHTTP` class with a `tool_filter` to expose only specific tools. You can allow `list_testimonials` while completely blocking access to `delete_testimonial` via the MCP Server configuration.

Your agents can use `list_tags` to retrieve your organizational structure. They can then categorize incoming video submissions before deciding which display widget to place them in.

Customer video files and submission details retrieved via `get_testimonial` are handled through Vinkius's ephemeral sandboxes. Your credentials and customer data are never cached or exposed to external networks.

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