Jobtoolz MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Jobtoolz as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="jobtoolz_agent",
instruction=(
"You help users interact with Jobtoolz "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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 Jobtoolz MCP Server
Empower your AI agents with Jobtoolz's recruitment management platform. This MCP server allows you to list jobs, track candidates, manage pipeline stages, and view departments and locations directly through the Jobtoolz API. Ideal for automating hiring workflows and candidate engagement.
Google ADK natively supports Jobtoolz 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.
The Jobtoolz 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 Jobtoolz to Google ADK via MCP
Follow these steps to integrate the Jobtoolz 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 Jobtoolz via MCP
Why Use Google ADK with the Jobtoolz MCP Server
Google ADK provides unique advantages when paired with Jobtoolz 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 Jobtoolz
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 Jobtoolz tools with BigQuery, Vertex AI, and Cloud Functions
Jobtoolz + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Jobtoolz MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Jobtoolz and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Jobtoolz tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Jobtoolz regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Jobtoolz
Jobtoolz MCP Tools for Google ADK (10)
These 10 tools become available when you connect Jobtoolz to Google ADK via MCP:
get_candidate
Returns contact details, application history, and custom field values. Use this for deep-dive vetting of an applicant. Retrieves details for a specific candidate
get_job
Returns descriptions, requirements, and internal status. Essential for detailed analysis of a specific role. Retrieves details for a specific job
list_candidates
Includes candidate names, IDs, and current pipeline status. Use this to monitor applicant flow and identify recent entries. Lists all candidates
list_departments
Useful for filtering jobs and candidates by business unit (e.g., Sales, R&D). Lists all departments
list_jobs
Returns job titles, IDs, and departments. Use this to identify open positions and locate job IDs for candidate management. Lists all active jobs
list_locations
Useful for identifying jobs in specific geographical regions. Lists all office locations
list_sources
g., "Company Website", "Indeed") configured in Jobtoolz. Useful for auditing the origins of candidate traffic. Lists all recruitment sources
list_stages
g., "Applied", "Interview", "Offer"). Essential for understanding the company's hiring process. Lists all configured pipeline stages
list_tags
Useful for identifying valid tags before performing a tagged search. Lists all configured tags
list_users
Useful for identifying account administrators or hiring managers. Lists all organization users
Example Prompts for Jobtoolz in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Jobtoolz immediately.
"List all open jobs in Jobtoolz."
"Show me the details for candidate ID '123'."
"Check the available recruitment sources."
Troubleshooting Jobtoolz MCP Server with Google ADK
Common issues when connecting Jobtoolz to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJobtoolz + Google ADK FAQ
Common questions about integrating Jobtoolz MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Jobtoolz to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
