How to Use the Tactile CRM MCP in Google ADK

Q: How do I use Tactile CRM and Google ADK for opportunity analysis?

The agent runs listopportunities to get the dataset, then calls getopportunitydetails. This lets your agents perform deep, multi-step reasoning on deal metrics using Gemini's large context window.

Q: Does Tactile CRM and Google ADK handle contact data?

Yes. You can list contacts with listcontacts, or fetch specifics for one person using getcontactdetails. This works perfectly when cross-referencing against other BigQuery tables.

Q: What kind of CRM actions are possible with Tactile CRM and Google ADK?

The system manages company data (listcompanies), deal status, and comprehensive activity logs. This makes it ideal for enterprise-scale reporting on sales progress.

Q: Can I get a full view of the sales lifecycle with Tactile CRM and Google ADK?

You can list all available paths using listpipelines, and then use listopportunities to see which deals fit into those defined funnels.

Build enterprise agents with Google ADK. Connect Tactile CRM data to your BigQuery environment.

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Connect Tactile CRM MCP to Google ADK

Create your Vinkius account to connect Tactile CRM to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Tactile CRM with Google ADK

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Analyze Company Profiles

The agent uses `get_company_details` to pull deep records on any organization, feeding that structured data directly into the Gemini context. This lets you run complex reasoning over a single account's history. You can also execute `list_companies` across your entire dataset, letting the model process thousands of potential accounts simultaneously.

Track Deal Progress

Want to evaluate an opportunity? Call `get_opportunity_details`. The agent doesn't just read a status; it lets you run complex logic over the associated metrics, which are perfect for BigQuery analysis. Use `list_opportunities` first. This provides the initial dataset that informs subsequent queries against the full CRM history.

Review Full Contact Interactions

The agent retrieves individual details using `get_contact_details`. Because you're on Google Cloud, this means you can join those records to external data sources for deeper insights. It gathers all activity logs via `list_activities`, giving the long-context Gemini model a massive amount of historical information to work with.

Setup guide

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

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Common questions about Tactile CRM MCP in Google ADK

The agent runs `list_opportunities` to get the dataset, then calls `get_opportunity_details`. This lets your agents perform deep, multi-step reasoning on deal metrics using Gemini's large context window.

Yes. You can list contacts with `list_contacts`, or fetch specifics for one person using `get_contact_details`. This works perfectly when cross-referencing against other BigQuery tables.

The system manages company data (`list_companies`), deal status, and comprehensive activity logs. This makes it ideal for enterprise-scale reporting on sales progress.

You can list all available paths using `list_pipelines`, and then use `list_opportunities` to see which deals fit into those defined funnels.

It manages company details, contact records, deal pipelines, and general notes via `list_notes`, all of which can be ingested by BigQuery for analysis.

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