How to Use the OneLocal LocalReviews MCP in AutoGen

Q: How do I register OneLocal LocalReviews MCP tools with an AutoGen agent?

Use autogen-extmcp to connect to the Vinkius endpoint. Pass the resulting tool list directly into the AssistantAgent constructor.

Q: Does AutoGen log customer phone numbers when using OneLocal LocalReviews?

Agents pass phone numbers to the requestreview tool during their negotiation phase. The MCP Server processes these over a strict zero-trust TLS connection, leaving no persistent logs of your customer contact lists on the host.

Let AutoGen agents debate local SEO strategy using live OneLocal LocalReviews MCP Server data.

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Create your Vinkius account to connect OneLocal LocalReviews to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup OneLocal LocalReviews with AutoGen

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Debate Reputation Metrics

You assign one AutoGen agent to monitor local search rankings and another to protect brand voice. The first calls `get_reputation` to check aggregate scores, while the second pulls `list_reviews` to read the actual text. They debate the results. The SEO agent pushes for higher review volume, but the brand agent flags a recent spike in negative feedback. They negotiate a consensus before taking any action.

Negotiate Outreach Timing

Automated outreach requires careful timing. Your marketing agent looks at `list_campaigns` to see what is currently running, then proposes sending a batch of invites via the `request_review` tool. A secondary compliance agent steps in to review the proposed SMS payload. It checks platform guidelines and forces the marketing agent to rewrite the request template before allowing the execution.

Initialize the MCP Server Context

Multi-agent systems need to verify their own tooling. A dedicated operations agent pings `check_onelocal_status` on the OneLocal LocalReviews MCP Server before the conversation even starts. Once connectivity is confirmed, it calls `list_locations` to map out the business structure. It hands this context over to the reasoning agents so they base their debate on the actual physical branches you operate.

Setup guide

Set up OneLocal LocalReviews 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 OneLocal LocalReviews 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="OneLocal LocalReviews_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent OneLocal LocalReviews 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="OneLocal LocalReviews_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent OneLocal LocalReviews 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 OneLocal LocalReviews. 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 OneLocal LocalReviews MCP in AutoGen

Use `autogen-ext[mcp]` to connect to the Vinkius endpoint. Pass the resulting tool list directly into the AssistantAgent constructor.

Yes. You can assign the tool list to multiple agents in your group chat. The agents will coordinate and decide which one should actually execute the API call.

Write a system prompt for a manager agent that requires approval from a compliance agent before the marketing agent is allowed to execute the tool.

The tool returns the error string to the chat. The AutoGen agent reads the error, waits, and automatically retries the tool call based on its internal logic.

Agents pass phone numbers to the `request_review` tool during their negotiation phase. The MCP Server processes these over a strict zero-trust TLS connection, leaving no persistent logs of your customer contact lists on the host.

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