How to Use the CustomerGauge MCP in AutoGen

Q: Can AutoGen agents challenge CustomerGauge data?

They can compare getaccountnps results against other data points. The agents will debate the implications of the scores until they agree.

Let your AutoGen agents debate NPS strategy using live CustomerGauge data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CustomerGauge MCP to AutoGen

Create your Vinkius account to connect CustomerGauge 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 CustomerGauge with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate NPS with AutoGen agents

Assign one agent to `get_business_unit_nps` and another to analyze the results. They discuss the performance metrics and reach a consensus. This setup allows agents to challenge each other's interpretations of the data. You get a deliberated report rather than a single guess.

Negotiate revenue impact in AutoGen

Use `list_revenue_impact_data` to feed agents tasked with financial auditing. They negotiate the validity of the impact metrics against survey scores. Different agents bring different perspectives to the analysis. The final output reflects their combined reasoning.

Automate survey response review

Deploy agents to process `get_response_details` for specific flagged accounts. They cross-reference these details with account mappings. Agents reach a decision on how to handle the feedback. They work together to resolve account-specific experience issues.

Setup guide

Set up CustomerGauge 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 CustomerGauge 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="CustomerGauge_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

You provide the tool list to the AssistantAgent. The agents then invoke tools like `list_b2b_accounts` during their conversation flow.

They can compare `get_account_nps` results against other data points. The agents will debate the implications of the scores until they agree.

It uses standard HTTP transports that fit perfectly into the AutoGen agent architecture. You get reliable access to your survey tools.

You just install the MCP extension and pass the tools to your agents. The adapter handles the schema conversion for you.

We use scoped endpoint tokens to isolate your session. Your survey responses are never exposed to any agent outside your controlled group.

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

Mastra AI sdk-typescript

Start using the CustomerGauge MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started