Which integrations does Merge support through the unified API?

Merge supports over 150+ integrations across HRIS (BambooHR, Workday), ATS (Lever, Greenhouse), CRM (Salesforce, HubSpot), and Ticketing (Zendesk, Jira). Your agent can access all of them using the same standardized tools once the accounts are linked in Merge.

How do I target a specific customer's data through the agent?

Each request requires a `MERGE_ACCOUNT_TOKEN` which uniquely identifies a linked account (e.g., a specific customer's integration). By providing this token along with your API key, your agent can retrieve data exclusively from that customer's connected platform.

Can my agent list candidates from my ATS and support tickets from Zendesk at the same time?

Yes. Since Merge unifies multiple categories, your agent can use the `list_candidates` and `list_tickets` tools in the same conversation to bridge data from different functional areas of your business instantly.

Merge (Unified Integration API) MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Merge (Unified Integration API)
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Merge (Unified Integration API) as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="merge_unified_integration_api_agent",
    instruction=(
        "You help users interact with Merge (Unified Integration API) "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Merge (Unified Integration API) MCP Server

Connect your Merge.dev account to any AI agent and take full control of your unified B2B integrations across HRIS, ATS, CRM, and Ticketing through natural conversation.

Google ADK natively supports Merge (Unified Integration API) as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

HRIS Orchestration — List all active employees and organizational companies from your connected HRIS (e.g., BambooHR, Workday, HiBob) directly from your agent
ATS Talent Pipeline — Retrieve recruited candidates and tracked job applications from your ATS integration (e.g., Greenhouse, Lever, Ashby) to monitor hiring workflows
CRM Contact Management — Access external sales contacts and customer accounts from your CRM (e.g., Salesforce, HubSpot, Pipedrive) to manage your business directory securely
Ticketing & Support — List inbound and outbound support tickets from your issue-tracking boards (e.g., Zendesk, Jira, Front) to stay updated on customer issues
Unified Data Access — Retrieve standardized data structures across hundreds of different integrations using a single set of API tools natively handled by Merge
Integration Audit — Inspect linked account details and meta-configurations to understand the current state and boundaries of your connected workspace securely

The Merge (Unified Integration API) MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Merge (Unified Integration API) to Google ADK via MCP

Follow these steps to integrate the Merge (Unified Integration API) MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Merge (Unified Integration API) via MCP

Why Use Google ADK with the Merge (Unified Integration API) MCP Server

Google ADK provides unique advantages when paired with Merge (Unified Integration API) through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Merge (Unified Integration API)

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Merge (Unified Integration API) tools with BigQuery, Vertex AI, and Cloud Functions

Merge (Unified Integration API) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Merge (Unified Integration API) MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Merge (Unified Integration API) and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Merge (Unified Integration API) tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Merge (Unified Integration API) regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Merge (Unified Integration API)

Merge (Unified Integration API) MCP Tools for Google ADK (8)

These 8 tools become available when you connect Merge (Unified Integration API) to Google ADK via MCP:

get_account_details

dev. Retrieve linked Account Details exposing integration boundaries

list_accounts

List customer accounts parsed from the CRM integration

list_applications

List job applications inside the ATS integration

list_candidates

List recruited candidates across the ATS integration

list_companies

List companies mapped inside the HRIS integration

list_contacts

List external contacts mapped in the CRM integration

list_employees

Be aware the list might be paginated or heavy. List employees from the linked HRIS integration

list_tickets

List inbound/outbound support tickets inside the Ticketing integration

Example Prompts for Merge (Unified Integration API) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Merge (Unified Integration API) immediately.

"List all active employees from our linked HRIS"

"Show me the last 5 candidates in our ATS talent pipeline"

"List all open support tickets in our ticketing integration"

Troubleshooting Merge (Unified Integration API) MCP Server with Google ADK

Common issues when connecting Merge (Unified Integration API) to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Merge (Unified Integration API) + Google ADK FAQ

Common questions about integrating Merge (Unified Integration API) MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.