How to Use the Gong MCP in AutoGen

Q: How do I register Gong tools with my AutoGen agents using this MCP Server?

Use mcpservertools with your Vinkius HTTP transport URL to import the 14 tools. Pass this tool list directly to your AssistantAgent constructor to give them access.

Q: Can AutoGen agents collaborate to analyze a single Gong call?

Yes. One agent can call getcall to retrieve metadata, while another calls gettranscript to analyze the conversation, sharing their findings in the group chat.

Q: How do I verify that my AutoGen agents can connect to the API?

Have your agent call checkgongstatus at the beginning of the conversation. A successful response confirms the connection is active and ready for tool execution.

Let AutoGen agents debate sales performance and pipeline risks using live Gong conversation and deal data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Gong MCP to AutoGen

Create your Vinkius account to connect Gong 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 Gong with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run multi-agent debates on sales deal quality

Your AutoGen pipeline assigns one agent to analyze deal status using `list_deals` while another reviews call transcripts via `get_transcript`. These agents debate whether the deal is actually healthy or if the rep is missing red flags. By using this MCP Server, the agents back their arguments with real data from recent customer interactions. They resolve their debate by producing a realistic risk assessment that combines pipeline metrics with conversational reality.

Automate performance reviews with AutoGen agents

The `get_user_stats` tool provides a quantitative baseline of a rep's activity, which one agent analyzes for consistency. A second agent reviews qualitative feedback using `list_scorecards` to evaluate the actual quality of those interactions. The two agents collaborate to write a balanced performance review. This process eliminates individual bias, giving managers an objective starting point for their weekly coaching sessions.

Analyze call quality using consensus-driven agents

This capability uses `list_call_scores` and `get_call_stats` to feed raw performance data into a multi-agent conversation. One agent looks for conversational pace metrics, while another evaluates adherence to the sales playbook. The agents negotiate a final score, ensuring that a rep isn't penalized for a single bad metric if their overall conversation flow was strong. This consensus-driven approach leads to fairer, more actionable coaching feedback.

Setup guide

Set up Gong 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 Gong 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="Gong_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

Use `mcp_server_tools` with your Vinkius HTTP transport URL to import the 14 tools. Pass this tool list directly to your `AssistantAgent` constructor to give them access.

Yes. One agent can call `get_call` to retrieve metadata, while another calls `get_transcript` to analyze the conversation, sharing their findings in the group chat.

The agents use their conversational framework to debate discrepancies, such as when `list_deals` shows a high value but `list_call_scores` indicates poor customer engagement.

Have your agent call `check_gong_status` at the beginning of the conversation. A successful response confirms the connection is active and ready for tool execution.

Yes. All user performance data and call metrics are processed inside Vinkius's zero-trust, ephemeral V8 sandbox via secure MCP tunnels. The execution is entirely isolated, ensuring your proprietary sales data never leaks.

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