How to Use the EngageBay All-in-One CRM MCP in Google ADK

Q: How do I filter tools for EngageBay All-in-One CRM in Google ADK?

Use the toolnames filter in your McpToolset definition. This restricts the agent to only the specific CRM actions you choose to expose.

Connect EngageBay All-in-One CRM to your enterprise Gemini agents using the Google ADK for high-context sales reasoning.

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Connect EngageBay All-in-One CRM MCP to Google ADK

Create your Vinkius account to connect EngageBay All-in-One 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 EngageBay All-in-One CRM with Google ADK

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Deep-context CRM reasoning in Google ADK

Gemini models can process massive amounts of deal data when you integrate `list_sales_deals` and `list_successfully_closed_deals`. Your agents analyze trends across your entire customer base. Use `get_deal_details` to feed specific deal context into long-context prompts. This allows your agent to generate highly specific sales recommendations based on actual CRM state.

Unified task and contact management

Your agent keeps your team on track by calling `list_crm_tasks` to identify upcoming follow-ups. It stays ahead of deadlines without manual reminders. Querying `list_crm_contacts` lets the agent cross-reference leads with company data from `list_crm_companies`. It builds a complete picture of every interaction for your sales reps.

Efficient volume monitoring for your MCP Server

Keep tabs on your sales operations with `quick_crm_volume_audit`. It gives your agent a high-level view of your CRM health in one call. Check your account configuration using `get_engagebay_account_metadata`. This ensures your agent is aware of any API constraints before it starts a large batch of queries.

Setup guide

Set up EngageBay All-in-One 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 EngageBay All-in-One 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="EngageBay All-in-One CRM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EngageBay All-in-One CRM 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 EngageBay All-in-One CRM. 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 EngageBay All-in-One CRM MCP in Google ADK

It is. You define the toolset in your LlmAgent configuration, and the Google ADK handles the communication between the agent and the CRM tools.

Use the tool_names filter in your McpToolset definition. This restricts the agent to only the specific CRM actions you choose to expose.

Absolutely. You can pull large lists of contacts or deals and feed them into the agent's context window for complex analysis and reporting.

Vinkius runs the server in an ephemeral sandbox. Your CRM data is processed only during the agent's execution and is not persisted by the server itself.

The server waits for the response, but you should set appropriate timeouts in your Google ADK agent configuration to maintain system responsiveness.

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