How do I move a candidate to a specific stage?

Use the `update_opportunity_stage` tool with the unique opportunity ID and the target stage ID. You can find stage IDs using the `list_hiring_stages` tool.

Can I archive an application via the agent?

Yes, use the `archive_hiring_opportunity` tool. You will need to provide the opportunity ID and a valid archive reason ID.

Is it possible to see a candidate's contact information?

Absolutely. Use the `get_candidate_profile` tool with the candidate's unique ID to retrieve their full profile, including email, phone, and links.

Lever MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Lever
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lever as an MCP tool provider through 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

Open in ChatGPT Open in Claude Open in Perplexity

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="lever_agent",
    instruction=(
        "You help users interact with Lever "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 Lever MCP Server

Connect your Lever account to any AI agent to streamline your recruitment and talent acquisition workflows. This MCP server enables your agent to interact with job postings, manage candidate opportunities, and move applications through your hiring pipeline directly.

Google ADK natively supports Lever as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Posting Oversight — List and retrieve detailed configurations for all your active job advertisements
Opportunity Management — Manage candidate applications (Opportunities), track their status, and move them through hiring stages
Candidate Insight — Access complete candidate profiles, contact details, and interaction histories
Pipeline Control — List hiring stages and automate the archiving of applications with specific reasons
Workflow Automation — Create new job postings or candidate records directly from natural language interfaces

The Lever MCP Server exposes 10 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 Lever to Google ADK via MCP

Follow these steps to integrate the Lever 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 10 tools from Lever via MCP

Why Use Google ADK with the Lever MCP Server

Google ADK provides unique advantages when paired with Lever 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 Lever

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 Lever tools with BigQuery, Vertex AI, and Cloud Functions

Lever + Google ADK Use Cases

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

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

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

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

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

Lever MCP Tools for Google ADK (10)

These 10 tools become available when you connect Lever to Google ADK via MCP:

archive_hiring_opportunity

Archive a candidate opportunity

create_hiring_opportunity

Requires a JSON body with opportunity details. Create a new candidate opportunity

create_job_posting

Requires a JSON body with posting details. Create a new job posting

get_candidate_profile

Get details for a specific candidate (person)

get_opportunity_details

Get details for a specific candidate opportunity

get_posting_details

Get details for a specific job posting

list_hiring_opportunities

List all candidate opportunities (applications)

list_hiring_stages

g., Screen, Interview) configured in your Lever account. List all defined hiring pipeline stages

list_job_postings

List all job postings

update_opportunity_stage

g., move to "Interview" or "Offer"). Move a candidate to a different hiring stage

Example Prompts for Lever in Google ADK

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

"List all my current job postings in Lever."

"Move opportunity ID 'opp-123' to the 'Interview' stage (ID: 'stage-abc')."

"Get the full profile for candidate ID 'cand-987'."

Troubleshooting Lever MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Lever + Google ADK FAQ

Common questions about integrating Lever 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.