How to Use the Close MCP in Google ADK

Q: How do I configure the Close MCP Server with Google ADK?

Install the SDK using pip install google-adk. Then define an McpToolset pointing to the Vinkius URL and pass it to your LlmAgent tools list.

Q: Can I limit which Close tools the Google ADK agent can access?

Yes. Use the optional toolnames filter when initializing your McpToolset to restrict agent access. For example, you can block createlead while keeping read-only tools active.

Q: How does Google ADK pass Close data to Gemini for reasoning?

The Google ADK passes data from listleads straight to Gemini. The model uses its huge context window to analyze complete communication histories in a single turn.

Feed Gemini's massive context window with Close sales data using Google ADK and MCP.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Close MCP to Google ADK

Create your Vinkius account to connect Close 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.

GDPR Free for Subscribers

Setup Close with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Gemini-Powered Lead Analysis

The `list_leads` tool lets your Google ADK agent pull entire customer histories directly into Gemini's long-context window. Because the ADK handles massive token counts, your agent can read years of notes in one go. Combining this with BigQuery datasets allows you to run deep predictive modeling. The agent uses `get_lead_details` to enrich local warehouse records without manual exports.

Enterprise Opportunity Mapping with Google ADK MCP Server

The `list_opportunities` tool exposes your entire sales pipeline to Vertex AI models. You can build forecasting agents that evaluate deal velocity by analyzing lead stages. To restrict which tools your agent can use, you can apply an optional `tool_names` filter. This ensures a public-facing agent can read opportunities but cannot trigger `create_lead`.

Automated Task Management

The `list_crm_tasks` tool connects your Google Cloud workflows to your sales rep schedules. Gemini reads the task queue to flag overdue follow-ups. Set up the MCP integration by running `pip install google-adk` and defining an `McpToolset` with your HTTP server parameters. The SDK supports both Stdio and HTTP transports to connect your agent to Close.

Setup guide

Set up Close 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 Close 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="Close_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Close tools via MCP.",
    tools=mcp_tools,
)

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 Close. 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 Close 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 Close MCP in Google ADK

Install the SDK using `pip install google-adk`. Then define an `McpToolset` pointing to the Vinkius URL and pass it to your `LlmAgent` tools list.

Yes. Use the optional `tool_names` filter when initializing your `McpToolset` to restrict agent access. For example, you can block `create_lead` while keeping read-only tools active.

The Google ADK passes data from `list_leads` straight to Gemini. The model uses its huge context window to analyze complete communication histories in a single turn.

Yes. You can deploy your agent on Vertex AI and connect it to this server over HTTP. This lets you combine CRM data with BigQuery tables.

Vinkius hosts the server in a secure, ephemeral sandbox. Your API tokens and lead records are processed in memory and never written to persistent storage.

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