How to Use the Birdeye MCP in AutoGen

Debate customer feedback strategies with AutoGen and Birdeye.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Birdeye MCP to AutoGen

Create your Vinkius account to connect Birdeye 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.

GDPR Free for Subscribers

Setup Birdeye with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate review strategies using AutoGen

Let your agents argue over the best `trigger_survey` timing. One agent checks review volume while another pushes for more data, ensuring your outreach is balanced. The MCP Server handles the tool execution once the agents reach a consensus. This creates a deliberative process for your reputation management.

Manage Birdeye records with AutoGen agents

Assign an agent to monitor `list_reviews` for negative feedback. It can then consult with a customer service agent to draft a response using `get_customer_details`. You avoid manual oversight by letting the agents negotiate the appropriate action. They handle the record retrieval and customer verification internally.

Coordinate business operations via MCP Server

You can have your agents parse `list_business_locations` to identify underperforming sites. They then decide which location needs a `customer_checkin` push. The system uses the MCP Server to execute these tasks once the agents agree on the plan. This removes the guesswork from your local business operations.

Setup guide

Set up Birdeye 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 Birdeye 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="Birdeye_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Birdeye 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 Birdeye. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Birdeye now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about Birdeye MCP in AutoGen

The McpToolAdapter automatically converts the Birdeye schema for your agents. You simply pass the tool list into your AssistantAgent and they handle the calls.

Agents can debate whether to send a survey based on the output of `list_reviews`. They reach a consensus before executing `trigger_survey`.

Vinkius ensures your data stays within a secure, ephemeral environment. Your agents only access the specific customer records required to complete their assigned task.

The conversation framework allows them to challenge conclusions until they converge. You can observe this debate to see how they interpret your review data.

Yes, the tools are available to any agent in your group chat. They can share access to `get_customer_details` to build a unified view of the customer.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript