How to Use the Cloutly MCP in CrewAI

Q: How do I add Cloutly to a CrewAI agent?

You add the Vinkius URL to the mcps list in your agent definition. CrewAI auto-discovers the tools and makes them available to the agent's brain.

Q: Does Cloutly support CrewAI role-based access?

You filter which tools each agent gets using the toolfilter option. This ensures your writer agent can post replies, while your researcher agent only reads data.

Deploy a team of specialized agents to manage your Cloutly reputation with CrewAI.

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…and any MCP-compatible client

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Connect Cloutly MCP to CrewAI

Create your Vinkius account to connect Cloutly 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 Cloutly with CrewAI

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Multi-agent review handling with CrewAI

Assign a researcher agent to use `list_pending_reviews` for gathering feedback. A separate writer agent then uses `reply_to_review` to draft and submit responses. This division of labor ensures your team scales. You don't manage individual tasks, just the crew's configuration.

Automated outreach with this MCP Server

Use `list_campaigns` to monitor your current outreach performance. If a campaign stalls, the manager agent flags it for review. `send_review_invite` acts as the primary tool for your engagement agent. You set the frequency, and the crew handles the rest.

Customer history analysis

Call `search_reviews_by_author` to give your agents deep context. When a customer complains, the agent sees every past review before taking action. `list_businesses` allows your agents to manage multiple storefronts simultaneously. You define the scope, and the crew executes across all locations.

Setup guide

Set up Cloutly 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 Cloutly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Cloutly 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 Cloutly. 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.

Why Choose Vinkius

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cloutly MCP in CrewAI

You add the Vinkius URL to the `mcps` list in your agent definition. CrewAI auto-discovers the tools and makes them available to the agent's brain.

Yes, you share the toolset across your entire crew. One agent can query reviews while another manages the outgoing invites.

You filter which tools each agent gets using the tool_filter option. This ensures your writer agent can post replies, while your researcher agent only reads data.

Vinkius uses a zero-trust architecture for every request. Only the specific review content needed for the agent task is ever processed.

You build a monitor agent that runs on a schedule. It pulls data using `list_reviews` and alerts you only if it finds negative feedback.

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