How to Use the Cloutly MCP in AutoGen

Q: How do I register this MCP Server with an AutoGen agent?

Install autogen-extmcp and use mcpservertools with your Vinkius HTTP URL. Pass the output tools list directly to your AssistantAgent constructor.

Q: How does this setup protect customer phone numbers and emails?

Any personal data processed by sendreviewinvite or searchreviewsbyauthor is handled within an isolated, zero-trust sandbox. No customer contact details or review messages are stored or logged on the Vinkius platform.

Run multi-agent debates over customer reviews using AutoGen and this MCP Server.

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Connect Cloutly MCP to AutoGen

Create your Vinkius account to connect Cloutly to AutoGen 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 AutoGen

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Multi-agent consensus for review replies in AutoGen

Let your AutoGen agents debate the best way to handle negative feedback. One agent pulls pending feedback using `list_pending_reviews`, a writer agent drafts a response, and a compliance agent reviews it before calling `reply_to_review` to post it. This multi-agent workflow prevents rogue AI responses from going live. By separating the retrieval, drafting, and publishing steps, you ensure that every reply meets your brand's communication standards.

Coordinate campaigns using specialized AutoGen agents

Set up a dedicated campaign manager agent using this MCP Server. If it identifies a gap, it coordinates with a customer success agent to run `send_review_invite` for specific accounts. This approach keeps your marketing and support agents aligned. They can verify customer history using `search_reviews_by_author` before sending invites, preventing overlapping messages.

Location-based review analysis with AutoGen

Use a coordinator agent to map out your business footprint using `list_businesses`. It can assign individual analyst agents to monitor specific locations using `list_reviews` to track regional customer satisfaction. The agents can share their findings in a group chat to highlight which locations need immediate attention or negative review mitigation, turning raw feedback into structured operational insights.

Setup guide

Set up Cloutly MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Cloutly tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Cloutly_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Cloutly data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Cloutly_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Cloutly data")
    print(result.messages[-1].content)

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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Common questions about Cloutly MCP in AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with your Vinkius HTTP URL. Pass the output tools list directly to your `AssistantAgent` constructor.

Yes. You can configure a debate where one agent checks customer history using `search_reviews_by_author` and another checks active campaigns using `list_campaigns` to decide if an invite is safe to send.

Once your agents agree on the best response text, the designated publisher agent calls `reply_to_review` to post the response back to the platform where the review was originally left.

The Vinkius integration supports streamable HTTP and stdio transports, allowing your AutoGen agents to connect securely from local environments or cloud containers.

Any personal data processed by `send_review_invite` or `search_reviews_by_author` is handled within an isolated, zero-trust sandbox. No customer contact details or review messages are stored or logged on the Vinkius platform.

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