How to Use the Chorus.ai (ZoomInfo) MCP in AutoGen

Q: How do AutoGen agents access Chorus.ai (ZoomInfo) data?

Register the MCP Server tools using mcpservertools. Your AssistantAgent will automatically format the schemas to call endpoints like getmeetingdetails.

Q: Can multiple AutoGen agents read the same Chorus.ai (ZoomInfo) transcript?

Yes. One agent fetches the text using getmeetingtranscript. The raw string becomes part of the shared chat history for the rest of the group to analyze.

Q: Do I need to build custom schemas for Chorus.ai (ZoomInfo) tools in AutoGen?

No. The McpToolAdapter translates the server's JSON specifications directly into Python functions your agents understand natively.

Q: How do I handle large meeting lists in a group chat?

Have a dedicated routing agent call listchorusmeetings. It filters the list and only passes relevant meeting IDs to the specialized review agents.

Deploy AutoGen multi-agent squads to debate, analyze, and score your Chorus.ai sales calls automatically.

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Connect Chorus.ai (ZoomInfo) MCP to AutoGen

Create your Vinkius account to connect Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Multi-agent transcript analysis

One agent reading a transcript misses nuance. Connect this MCP Server to set up a squad where a Sales Coach agent pulls text via `get_meeting_transcript` and pitches feedback. A Compliance Officer agent reads the same output and argues about missing legal disclosures. They debate the call quality until they reach a consensus score.

AutoGen debate on competitor strategy

Give your agents access to `list_tracked_competitors`. They can pull the current threat list and assign different models to research each rival. The team then uses `get_meeting_moments` to find where these competitors were mentioned. The agents negotiate a unified battle card based on real prospect objections.

Autonomous meeting reviews via MCP

Stop manually checking every call. A manager agent runs `list_chorus_meetings` every Friday afternoon to find new recordings. It delegates specific reviews to sub-agents. One checks `get_meeting_details` for missing CRM fields, while another verifies who actually attended using `list_chorus_users`.

Setup guide

Set up Chorus.ai (ZoomInfo) 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 Chorus.ai (ZoomInfo) 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="Chorus.ai (ZoomInfo)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Chorus.ai (ZoomInfo) 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="Chorus.ai (ZoomInfo)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Chorus.ai (ZoomInfo) 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 Chorus.ai. 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 Chorus.ai (ZoomInfo) MCP in AutoGen

Register the MCP Server tools using `mcp_server_tools`. Your AssistantAgent will automatically format the schemas to call endpoints like `get_meeting_details`.

Yes. One agent fetches the text using `get_meeting_transcript`. The raw string becomes part of the shared chat history for the rest of the group to analyze.

No. The `McpToolAdapter` translates the server's JSON specifications directly into Python functions your agents understand natively.

Have a dedicated routing agent call `list_chorus_meetings`. It filters the list and only passes relevant meeting IDs to the specialized review agents.

Your data stays locked down. The Vinkius MCP Server runs in a zero-trust environment. The agents only see the specific transcripts they request, and the connection dies when the script stops.

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