How to Use the Twenty CRM MCP in Google ADK

Q: Can I use Google ADK to create new opportunities in Twenty CRM?

You can run createopportunity() directly from an agent workflow. This lets you log a new deal into Twenty CRM based on reasoning derived from your BigQuery data.

Q: What is the best way to check existing company records with Google ADK?

The most direct method is using listcompanies() or, if you know the ID already, calling getcompany(id). Both methods ensure your agent works with current Twenty CRM data.

Connect Twenty CRM data to BigQuery using the Google ADK.

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Connect Twenty CRM MCP to Google ADK

Create your Vinkius account to connect Twenty CRM to Google ADK 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 Twenty CRM with Google ADK

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Handling Large-Scale Data with the Twenty CRM MCP Server

You're building enterprise agents, and they need context. The Gemini model's 1M+ token capacity lets your agent read vast amounts of associated data before deciding on an action. It can ingest a full list of companies via `list_companies()` alongside historical BigQuery records. This means when the agent calls `get_person(id)`, it doesn't just get a record; it gets that person's current CRM details cross-referenced with years of related data stored in your Google Cloud environment.

Advanced Twenty CRM Record Management

The ADK allows the agent to perform complex, multi-domain actions. Say an executive needs to change a contact's title and create follow-up steps? The agent calls `update_person()` followed by `create_task()`. This keeps all related data structured and accurate. It handles both creation (`create_company`) and modification (`update_note`), ensuring that every piece of information in Twenty CRM stays consistent with your enterprise schema.

Retrieval and Deletion via the MCP Server

Need to scrub out old, stale records? The agent can execute `delete_opportunity(id)` or `delete_task(id)`. This is vital for data hygiene when dealing with petabytes of historical records. Similarly, if you only need a snapshot of one record—say, checking the status of an account using `get_company(id)`—the agent retrieves that single piece of information efficiently without overburdening the entire system.

Setup guide

Set up Twenty CRM MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Twenty CRM tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Twenty CRM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Twenty CRM tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Twenty CRM MCP in Google ADK

The MCP Server exposes all 25 tools, making them available to your LlmAgent. Because you're on the Google Cloud platform, the agent can call these tools directly while referencing external BigQuery tables.

Yes, you can orchestrate complex updates. For example, your agent might first `list_people()` and then loop through the results calling `update_person(id)` on each one to standardize their job titles.

The server touches structured data across people, company, opportunity, task, and note records. All of these are accessed and processed within the context of your Gemini models.

You can run `create_opportunity()` directly from an agent workflow. This lets you log a new deal into Twenty CRM based on reasoning derived from your BigQuery data.

The most direct method is using `list_companies()` or, if you know the ID already, calling `get_company(id)`. Both methods ensure your agent works with current Twenty CRM data.

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