How to Use the GatherUp MCP in AutoGen

Debate your customer service responses in AutoGen using the GatherUp MCP server for consensus-driven review management.

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Connect GatherUp MCP to AutoGen

Create your Vinkius account to connect GatherUp 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 GatherUp with AutoGen

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Debate review replies in AutoGen

Set up a security agent to check `list_online_reviews` for sensitive content. It debates a response agent that suggests a reply using `reply_to_online_review`. This ensures every public response is vetted. The agents negotiate the tone until they reach a consensus that matches your brand standards.

Coordinate multi-agent review invites

Assign one agent to verify customer eligibility using `list_customer_contacts`. Once verified, it signals another agent to call `send_review_invite`. This workflow prevents spamming. Agents check the internal feedback logs via `list_internal_feedback` to ensure the customer hasn't already requested support.

Monitor business performance in AutoGen

Have a dashboard agent pull `get_review_metrics` at regular intervals. It shares these findings with your strategy agents to adjust your outreach volume. Agents decide if the business needs more reviews or better service. They use the tool outputs to justify their recommended changes.

Setup guide

Set up GatherUp 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 GatherUp 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="GatherUp_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="GatherUp_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

The agents communicate via the conversation bus. Once a tool like `get_account_info` returns data, that output becomes part of the shared context for all participating agents.

You can, but watch your API rate limits. AutoGen handles the execution, but you need to ensure the agents don't conflict when calling `reply_to_online_review`.

Yes, it is designed for that. You pass the server URL to the MCP adapter, and the tools become available to your agent group immediately.

Data access is restricted to the specific tools you register. The environment is isolated, and no external party can access your feedback logs.

Define a critic agent that reviews tool outputs. If a call like `verify_api_connection` returns an error, the critic prompts the executor to retry or alert you.

Use it with your favorite AI tools

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