How to Use the TrueReview MCP in CrewAI

Q: Can I list all available campaigns using TrueReview and CrewAI?

Yes. Passing the listcampaigns tool allows your autonomous operations to see exactly what is running in the background. This prevents redundant work among agents.

Q: What if I need to manage contact information using TrueReview and CrewAI?

The listcontacts tool provides the initial roster. You can then assign an agent to use getcontact repeatedly, gathering specific data points for analysis across the entire crew.

Run autonomous review operations using CrewAI and TrueReview's specialized MCP tools.

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Connect TrueReview MCP to CrewAI

Create your Vinkius account to connect TrueReview 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 TrueReview with CrewAI

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Manage customer contact records

The `list_contacts` tool gives a full list of customers for any given location. A research agent can use this data to build an initial target pool. A different specialized agent can then use the `get_contact` tool to pull deep details on individual profiles, which is critical for personalized outreach.

Build review request pipelines

To start a review cycle, one agent calls `list_campaigns` to see what's active. A moderator agent then uses the `send_review_request` tool to initiate contact with customers. The results can be summarized using `get_report_summary`, allowing the crew to decide if escalation is necessary.

Identify and manage business locations

You'll need a location context for any operation. The `list_locations` tool provides the full list of sites, which can be shared memory among all your specialized agents. A dedicated agent can then use the `create_contact` tool to ensure new local contacts are immediately logged into the system.

Setup guide

Set up TrueReview 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 TrueReview tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

CrewAI runs a specialized crew of agents that use the MCP Server tools. One agent researches using `list_locations`, while another acts on the data by calling `send_review_request`.

This MCP Server handles structured customer and operational data, including contact profiles, location listings, and review campaign metadata. The crew uses this shared memory to execute tasks.

Yes. Passing the `list_campaigns` tool allows your autonomous operations to see exactly what is running in the background. This prevents redundant work among agents.

The server exposes tools that are designed for direct, predictable function calls. By integrating it into a crew, you ensure specialized roles handle the process sequentially or hierarchically until completion.

The `list_contacts` tool provides the initial roster. You can then assign an agent to use `get_contact` repeatedly, gathering specific data points for analysis across the entire crew.

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