How to Use the Gong MCP in CrewAI

Orchestrate specialized sales crews with CrewAI. Let agents collaborate using live Gong data to handle entire sales operations.

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Connect Gong MCP to CrewAI

Create your Vinkius account to connect Gong to CrewAI 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 Gong with CrewAI

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Claude

Perplexity

Autonomous research and analysis

Assign a research agent to scan calls using `list_calls_by_date`. It identifies key trends while a second agent synthesizes that data into a briefing. This allows your crew to work in parallel. One agent digs through the transcripts via `get_transcript` while the other prepares the report.

Hierarchical sales management

Use a moderator agent to evaluate performance using `list_call_scores`. It can delegate specific call reviews to other agents based on the score. It removes the need for manual oversight. Your crew manages the entire feedback cycle by calling `get_user_stats` to track individual rep progress.

Automated pipeline maintenance

Keep your CRM clean by using an agent to compare `list_deals` against recent activity. The agent identifies stale records and flags them for the team. It automates the busy work of revenue operations. The crew handles the data integrity so your humans can focus on closing.

Setup guide

Set up Gong MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Gong tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Gong Analyst",
    goal="Access and analyze Gong data via MCP.",
    backstory="Expert analyst with direct Gong access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Gong transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Gong Analyst",
        goal="Access and analyze Gong data via MCP.",
        backstory="Expert analyst with direct Gong access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Gong transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Gong MCP in CrewAI

You pass the endpoint URL directly into the agent definition in your CrewAI setup. The framework then pulls the available tools for the agent to use.

Yes. By using CrewAI shared memory, one agent can fetch data with `get_call` and pass the context to another agent for analysis.

The server uses a zero-trust architecture. Only the specific agents you authorize can see the Gong data, and all connections are ephemeral and encrypted.

You can use the tool filter in the MCP definition to hide specific operations. If you don't want an agent touching user data, just filter out `get_user` and `list_users`.

We manage the connection to ensure stability. Your agents interact with the API through our managed layer, which keeps your queries within safe bounds.

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