How to Use the ZipRecruiter MCP in Google ADK

Q: How can I integrate ZipRecruiter with Google ADK?

Use the ziprecruitersearchjobs tool through your LlmAgent. You simply pass the desired search parameters to get structured job data.

Q: If I need to run multiple analyses on ZipRecruiter with Google ADK, what should I use?

Start with ziprecruitersearchjobs. It provides the necessary structured input for your BigQuery or Vertex AI workflows.

Build enterprise agents that act on ZipRecruiter data using Google ADK.

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Connect ZipRecruiter MCP to Google ADK

Create your Vinkius account to connect ZipRecruiter to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ZipRecruiter with Google ADK

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Access Job Listings via MCP Server

Need to check market demand? You call `ziprecruiter_search_jobs` through this MCP. It searches millions of job listings, letting you define roles by keyword, location, and salary. Since your agents live on Google Cloud, integrating the search results into BigQuery is simple. The data flows directly for further analysis.

Deep Job Search Reasoning

The `ziprecruiter_search_jobs` tool allows your agent to perform highly targeted searches that go beyond basic keyword matching. You define the scope using salary criteria and specific locations. This is crucial when you're running complex reasoning against vast amounts of data, like analyzing job trends across multiple sectors.

Structured Data Input

The tool requires three key pieces of information: keywords, location, and salary. This structure ensures the resulting job listings are clean and immediately usable. You're not just getting a list; you're getting structured data ready to feed into Vertex AI models for scoring or classification.

Setup guide

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

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