How to Use the Indeed MCP in Google ADK

Q: Does Google ADK restrict which tools I can use?

Indeed, you can use the toolnames filter if you need to limit exposure. This keeps your agent's tool surface area strictly defined.

Fetch real-time job listings in Google ADK for your enterprise agent workflows.

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Connect Indeed MCP to Google ADK

Create your Vinkius account to connect Indeed 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 Indeed with Google ADK

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Direct `search_jobs` access in Google ADK

Your agent can now execute searches against the job board using the `search_jobs` tool. It integrates into your existing Google Cloud architecture. Connect the toolset to your agent to start pulling data. It works with your current infrastructure setup.

Scale your agent's reach with Google ADK

The `search_jobs` tool allows your agent to process large volumes of listings. It fits into your long-context reasoning workflows. Filter your search by location and query to keep results precise. Your agent receives the data in a format ready for analysis.

Enterprise-grade job data integration

Use this MCP Server to bridge your agent and the job market. It provides a reliable way to get live data into your system. Your agent manages the tool calls through the standard toolset interface. It keeps your operations clean and focused.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Indeed. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Common questions about Indeed MCP in Google ADK

Indeed, this server is built to work with your Google ADK agent. It allows you to fetch job data without leaving your workflow.

Indeed, you just initialize the McpToolset with the server URL and pass it to your agent. The framework handles the rest.

Indeed, you can use the tool_names filter if you need to limit exposure. This keeps your agent's tool surface area strictly defined.

Yes. Your agent can ingest the JSON output from the server directly into the model context for deep analysis.

The server operates within your isolated transport layer. All data exchanges are encrypted and limited strictly to the job search criteria you provide.

Use it with your favorite AI tools

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

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