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Mav MCP Server for Google ADKGive Google ADK instant access to 9 tools to Create Lead, Get Lead, Get Playbook, and more

Built by Vinkius GDPR 9 Tools SDK

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

Ask AI about this App Connector for Google ADK

The Mav app connector for Google ADK is a standout in the Human Resources category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="mav_alternative_agent",
    instruction=(
        "You help users interact with Mav "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)
Mav
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Mav MCP Server

Connect your Mav AI recruiting account to any AI agent and manage candidate screening through natural conversation.

Google ADK natively supports Mav as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 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

  • Candidate Screening — Trigger automated AI screening conversations
  • SMS Campaigns — Launch and manage outbound SMS recruiting campaigns
  • Lead Management — Browse candidates and their qualification status
  • Engagement Tracking — Monitor open rates, reply rates, and drop-offs
  • Interview Data — Access responses and screening transcripts

The Mav MCP Server exposes 9 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.

All 9 Mav tools available for Google ADK

When Google ADK connects to Mav through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-recruiting, candidate-screening, sms-engagement, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_lead

Create a lead and trigger a playbook

get_lead

Get details for a specific lead

get_playbook

Get details for a specific playbook

list_activities

List recent activities/events

list_leads

List all leads

list_playbooks

List all available Mav playbooks

opt_out_lead

Manually opt-out a lead

stop_playbook

Stop a running playbook for a lead

update_lead

Update an existing lead

Connect Mav to Google ADK via MCP

Follow these steps to wire Mav into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Google ADK

Run pip install google-adk
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Create the agent

Save the code above and integrate into your ADK workflow
04

Explore tools

The agent will discover 9 tools from Mav via MCP

Why Use Google ADK with the Mav MCP Server

Google ADK provides unique advantages when paired with Mav through the Model Context Protocol.

01

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

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Mav

03

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

04

Seamless integration with Google Cloud services means you can combine Mav tools with BigQuery, Vertex AI, and Cloud Functions

Mav + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Mav MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Mav and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Mav tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Mav regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mav

Example Prompts for Mav in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Mav immediately.

01

"Show active SMS campaigns and completion rates."

02

"Launch a screening campaign for the new Warehouse Staff list."

03

"Show screening results and transcripts for qualified candidates."

Troubleshooting Mav MCP Server with Google ADK

Common issues when connecting Mav to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Mav + Google ADK FAQ

Common questions about integrating Mav MCP Server with Google ADK.

01

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.
02

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.
03

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.