How to Use the Appbot MCP in AutoGen

Q: How do I register Appbot tools in AutoGen?

Install autogen-extmcp and use mcpservertools to fetch the tools from your Vinkius server URL, and the McpToolAdapter handles schema conversion automatically.

Q: Can AutoGen agents filter Appbot reviews by language?

Yes, an agent can call listlanguages to verify supported languages, then apply those filters when calling listreviews to parse non-English feedback.

Q: How do AutoGen agents collaborate using Appbot?

One agent can call listtopics to identify a problematic theme, while a second agent calls listreviews to gather specific examples of that issue for analysis.

Deploy multi-agent debates in AutoGen to analyze Appbot reviews and resolve customer sentiment anomalies.

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Connect Appbot MCP to AutoGen

Create your Vinkius account to connect Appbot 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 Appbot with AutoGen

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Set up multi-agent debates on Appbot MCP Server feedback

The `list_reviews` tool feeds raw user feedback into your multi-agent conversation, allowing different agents to analyze the same dataset from competing perspectives. A support agent might look for customer frustration, while a developer agent searches for stack traces or version numbers. These agents debate the severity of the issues found in the reviews. They negotiate whether a sudden drop in star ratings requires an emergency hotfix or can wait for the next scheduled sprint.

Track sentiment anomalies using custom topics

The `get_reviews_by_custom_topic` tool pulls reviews matching specific tags so your specialized AutoGen agents can investigate performance regressions. One agent retrieves the reviews while another agent cross-references them with `list_versions`. They discuss whether the negative sentiment is isolated to a specific app version or spans multiple releases. The final consensus is delivered as a structured report, complete with recommended action items.

Query account metadata for agent coordination

The `get_account_info` tool retrieves your current connection status and team details to ensure your AutoGen agents have the correct access levels. Before running expensive multi-agent pipelines, the coordinator agent verifies that your Appbot MCP integration is active. If the connection is active, the coordinator assigns tasks to worker agents, who then use `list_apps` to inventory the tracked applications. This prevents execution failures and keeps your workflows running smoothly.

Setup guide

Set up Appbot 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 Appbot 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="Appbot_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Install `autogen-ext[mcp]` and use `mcp_server_tools` to fetch the tools from your Vinkius server URL, and the McpToolAdapter handles schema conversion automatically.

Yes, an agent can call `list_languages` to verify supported languages, then apply those filters when calling `list_reviews` to parse non-English feedback.

One agent can call `list_topics` to identify a problematic theme, while a second agent calls `list_reviews` to gather specific examples of that issue for analysis.

Yes, you can configure an agent to retrieve review details using `get_review_details` and draft a response, while a supervisor agent reviews it for tone and brand alignment.

Your Appbot credentials remain secure inside the Vinkius vault, and the app reviews or ratings fetched during the session are processed in a zero-trust, ephemeral MCP sandbox.

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