How to Use the Merge (Unified Integration API) MCP in Google ADK

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Connect Merge (Unified Integration API) MCP to Google ADK

Create your Vinkius account to connect Merge (Unified Integration API) 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 Merge (Unified Integration API) with Google ADK

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Feed active employee directories into Gemini's long context.

The `list_employees` tool feeds full organizational structures directly to your Gemini-powered agents. This MCP Server allows your model to analyze staffing trends or department allocations using actual, live payroll data. Because Gemini handles massive token windows, you can pass large payloads from `list_companies` without hitting context limits. The model extracts patterns and generates organizational charts in seconds.

Monitor hiring funnels using Google ADK agents.

The `list_candidates` tool fetches active job applicant data from your connected ATS. This lets your agent evaluate resume pipelines and track candidate progress through the hiring stages. Your agent can cross-reference this information with `list_applications` to identify bottlenecks in your recruiting process. You get a clear view of which roles are stalled and which candidates need immediate follow-up.

Bridge the gap between sales and customer support.

The `list_contacts` tool retrieves customer profiles from your sales pipeline systems. This allows your agent to match incoming queries with existing enterprise accounts. By pairing this with `list_tickets`, your agent can automatically escalate support tickets for high-priority sales leads. This keeps your account managers informed of critical technical issues before renewal calls.

Setup guide

Set up Merge (Unified Integration API) 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 Merge (Unified Integration API) 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="Merge (Unified Integration API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Merge (Unified Integration API) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Merge (Unified Integration API) MCP in Google ADK

You initialize the McpToolset in Python using your Vinkius HTTP URL. This exposes all eight tools, like `list_employees` and `list_contacts`, directly to your Gemini model.

Yes, you can use the optional tool names filter during initialization. This allows you to expose only `list_tickets` for support agents while keeping HRIS tools hidden.

The SDK intercepts downstream API rate limit errors and bubbles them up. You should implement exponential backoff in your agent's execution loop to handle high-volume syncs gracefully.

You can register multiple toolsets in a single agent. This lets your Gemini model query customer accounts via `list_accounts` and instantly join that data with historical warehouse tables in BigQuery.

All employee profiles, candidate applications, and support tickets process inside isolated, ephemeral V8 sandboxes. No customer data is written to persistent storage, ensuring strict compliance with enterprise data policies.

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