How to Use the Funil de Vendas MCP in Google ADK

Q: How do I configure Funil de Vendas with Google ADK?

Initialize McpToolset with your Vinkius HTTP transport URL. Pass this toolset to your LlmAgent so Gemini can immediately access tools like getaccountinfo and listfunnels.

Q: Can I restrict which Funil de Vendas tools my Google ADK agent can access?

Yes, you can use the toolnames filter in the toolset configuration. This lets you limit the agent to harmless reads like getopportunity while blocking write operations like updateopportunity.

Q: Does the Funil de Vendas integration support BigQuery data mapping in Google ADK?

It does. Your agent can pull company records using listcompanies, match them with your BigQuery datasets, and then use createcompany to sync missing profiles.

Q: How does Gemini handle the 12 tools in this MCP Server?

Gemini easily manages all 12 tools, from createopportunity to getpeoplestats. Its long-context reasoning lets it plan multi-step pipeline updates without getting confused by complex schemas.

Q: Is my Brazilian sales pipeline secure with this MCP Server?

Yes. Your pipeline data, including deal values from getopportunity and contact details from createperson, passes through a zero-trust V8 sandbox. Vinkius ensures your API tokens and customer records are isolated and never saved to disk.

Connect Gemini's 1M token context to Funil de Vendas using Google ADK to run your Brazilian sales pipeline.

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Connect Funil de Vendas MCP to Google ADK

Create your Vinkius account to connect Funil de Vendas 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 Funil de Vendas with Google ADK

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Run deep pipeline analysis with Google ADK

Feed your entire sales history into Gemini's massive context window. The Google ADK toolset lets your agent pull active deals using `list_opportunities` and cross-reference them with raw BigQuery customer data. Once the model processes the context, it calls `update_opportunity` to adjust deal values or flag stalled leads. This puts your CRM pipeline data directly into your enterprise analytics loop.

Map custom sales funnels with an MCP Server

Your enterprise sales team has specific deal stages. This MCP Server exposes `list_funnels` so your Gemini agent can read your exact Brazilian market setup. When a new lead hits your system, the agent calls `create_opportunity` to place it in the correct funnel. It uses `list_custom_fields` to populate localization details without breaking your existing schema.

Build automated contact routing systems

Stop wasting time manually assigning incoming leads. Your Google ADK agent uses this MCP Server to check existing contacts with `list_people` and `list_companies` to see if the lead's company already exists. If it's a new prospect, the agent executes `create_person` and links them to the correct account. It then runs `get_people_stats` to find which sales rep has the lightest workload and assigns the lead.

Setup guide

Set up Funil de Vendas 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 Funil de Vendas 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="Funil de Vendas_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Funil de Vendas tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Funil de Vendas. 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 Funil de Vendas MCP in Google ADK

Initialize `McpToolset` with your Vinkius HTTP transport URL. Pass this toolset to your `LlmAgent` so Gemini can immediately access tools like `get_account_info` and `list_funnels`.

Yes, you can use the `tool_names` filter in the toolset configuration. This lets you limit the agent to harmless reads like `get_opportunity` while blocking write operations like `update_opportunity`.

It does. Your agent can pull company records using `list_companies`, match them with your BigQuery datasets, and then use `create_company` to sync missing profiles.

Gemini easily manages all 12 tools, from `create_opportunity` to `get_people_stats`. Its long-context reasoning lets it plan multi-step pipeline updates without getting confused by complex schemas.

Yes. Your pipeline data, including deal values from `get_opportunity` and contact details from `create_person`, passes through a zero-trust V8 sandbox. Vinkius ensures your API tokens and customer records are isolated and never saved to disk.

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