JobScore 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 JobScore 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="jobscore_agent",
instruction=(
"You help users interact with JobScore "
"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 JobScore MCP Server
Empower your AI agents with JobScore's comprehensive applicant tracking system. This MCP server allows you to list and retrieve job postings, track candidates, manage hiring teams and departments, and view hiring sources directly through the JobScore API. Ideal for automating recruitment workflows and talent acquisition.
Google ADK natively supports JobScore 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 JobScore 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 JobScore to Google ADK via MCP
Follow these steps to integrate the JobScore 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 JobScore via MCP
Why Use Google ADK with the JobScore MCP Server
Google ADK provides unique advantages when paired with JobScore 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 JobScore
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 JobScore tools with BigQuery, Vertex AI, and Cloud Functions
JobScore + Google ADK Use Cases
Practical scenarios where Google ADK combined with the JobScore MCP Server delivers measurable value.
Enterprise data agents: ADK agents query JobScore and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine JobScore tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query JobScore regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including JobScore
JobScore MCP Tools for Google ADK (10)
These 10 tools become available when you connect JobScore to Google ADK via MCP:
get_candidate
Returns contact history, resume highlights (if available), and current application status. Use this before an interview or when evaluating an applicant. Retrieves details for a specific candidate
get_job
Includes job descriptions, requirements, and hiring team identifiers. Use this to provide detailed information about a specific opening. Retrieves details for a specific job
get_me
Use this to verify connection status and identity. Gets current authenticated user info
list_candidates
Includes candidate names, current stage, and IDs. Essential for monitoring the talent pool and identifying new applications. Lists all candidates
list_departments
g., Engineering, Marketing) used to categorize jobs in JobScore. Useful for filtering hiring data by business unit. Lists all departments
list_hiring_teams
Useful for identifying recruiters and hiring managers associated with specific jobs. Lists all hiring teams
list_jobs
Returns job titles, IDs, and departments. Use this to identify active positions or find a job ID for candidate management. Lists all jobs in JobScore
list_locations
Useful for understanding the geographical scope of hiring efforts. Lists all office locations
list_sources
g., "LinkedIn", "Referral", "Job Board") from which candidates are originating. Essential for analyzing the effectiveness of hiring channels. Lists all candidate sources
list_users
Useful for identifying team members and their roles. Lists all users in the account
Example Prompts for JobScore in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with JobScore immediately.
"List all open jobs in JobScore."
"Show me the details for candidate ID '789'."
"Check the hiring team for the 'Software Engineer' job."
Troubleshooting JobScore MCP Server with Google ADK
Common issues when connecting JobScore to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJobScore + Google ADK FAQ
Common questions about integrating JobScore 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 JobScore to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.