How to Use the Lever MCP in Google ADK

Q: Will Lever work with Google ADK tool filters?

Yes, you can define a toolnames filter when setting up your McpToolset. This restricts which Lever operations your agent is allowed to perform.

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Connect Lever MCP to Google ADK

Create your Vinkius account to connect Lever 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 Lever with Google ADK

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Streamline hiring stages with Google ADK

Map your recruitment process by calling `list_hiring_stages` directly from your agent. It understands exactly where a candidate sits in your pipeline. You then use `update_opportunity_stage` to push them forward. It removes the friction of manual status tracking in your ATS.

Sync job postings using Google ADK

Manage your open roles programmatically by integrating `list_job_postings` into your agent framework. It pulls your current listings into your agent's context. You can create new postings with `create_job_posting` if your hiring needs shift. It keeps your ATS in lockstep with your infrastructure.

Access deep candidate insights

Your agents need context to make decisions, and this server provides it via `get_candidate_profile`. It fetches the candidate's history from Lever for your agent to analyze. Pair this with `get_opportunity_details` to understand every application. It gives your agent the full picture before it takes an action.

Setup guide

Set up Lever 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 Lever 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="Lever_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lever tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Lever MCP in Google ADK

Use the McpToolset and pass your server URL into the StreamableHttpServerParameters. Add the toolset to your LlmAgent to start using the tools.

Yes, you can define a tool_names filter when setting up your McpToolset. This restricts which Lever operations your agent is allowed to perform.

Absolutely, your agent can list, create, and update opportunities using the available tools. It acts as a bridge between your ATS and your agent logic.

The server handles your credentials through an endpoint token. Ensure your environment has the correct authorization for your specific Lever instance.

The server accesses candidate contact details to perform its functions. We isolate this access within your secure agent execution environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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