How to Use the MeetingPulse MCP in AutoGen

Deploy a team of agents that debate and process MeetingPulse engagement data in AutoGen.

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Connect MeetingPulse MCP to AutoGen

Create your Vinkius account to connect MeetingPulse 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 MeetingPulse with AutoGen

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Perplexity

Multi-agent meeting analysis

Let your agents debate the findings from `get_meeting_analytics`. One agent proposes a conclusion while another challenges the data interpretation. This creates a consensus-driven report. You get a balanced view of your event performance instead of a single, potentially biased perspective.

Automated Q&A conflict resolution

Use `list_qa_sessions` to feed data into agents tasked with identifying audience pain points. They negotiate which issues to prioritize for your next event. Your agents handle the heavy lifting of sorting through thousands of questions. They reach a decision on what matters most based on the raw session logs.

Secure meeting administration

Assign a security agent to verify `get_account_info` before allowing other agents to access sensitive records. It ensures your data access follows your strict internal policies. This adds a layer of oversight to your agent interactions. You control exactly what data the system touches during its deliberation process.

Setup guide

Set up MeetingPulse 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 MeetingPulse 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="MeetingPulse_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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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 MeetingPulse MCP in AutoGen

Pass the tool list to your assistant agent. The adapter handles the schema conversion so your agents can call functions natively.

Yes. Agents can pass the outputs of tool calls to each other during the conversation. This allows for collaborative data analysis.

They analyze the current task and choose the best fit from the provided tool list. If they get stuck, they debate the next step.

The server enforces strict auth scopes. Agents only see what you allow them to access through your endpoint token.

We keep ephemeral logs for troubleshooting. Your account data remains isolated and is never used to train external systems.

Use it with your favorite AI tools

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

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