Join 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 Join 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="join_agent",
instruction=(
"You help users interact with Join "
"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 Join MCP Server
Empower your AI agents with JOIN's modern recruiting platform. This MCP server allows you to list job openings, retrieve candidate details, manage applications, and view organization departments directly through the JOIN API. Ideal for automating hiring workflows and talent acquisition.
Google ADK natively supports Join 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 Join 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 Join to Google ADK via MCP
Follow these steps to integrate the Join 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 Join via MCP
Why Use Google ADK with the Join MCP Server
Google ADK provides unique advantages when paired with Join 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 Join
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 Join tools with BigQuery, Vertex AI, and Cloud Functions
Join + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Join MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Join and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Join tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Join regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Join
Join MCP Tools for Google ADK (10)
These 10 tools become available when you connect Join to Google ADK via MCP:
get_application
Returns answers to form questions, internal notes, and application status. Use when evaluating a specific applicant or moving them through the pipeline. Retrieves details for a specific application
get_candidate
Use this for detailed candidate vetting and interview preparation. Retrieves details for a specific candidate
get_job
Returns descriptions, requirements, and internal metadata. Use this when the user needs to analyze the specifics of a particular role or prepare content related to it. Retrieves details for a specific job
get_me
Use this to verify identity and check connection health. Gets details about your own authenticated user
list_applications
Includes candidate summaries and basic application info. Essential for monitoring recent applicant flow and identifying new leads in the recruitment process. Lists all job applications
list_candidates
Returns candidate profiles, contact info, and their association with jobs. Use this when the user wants to search for specific people or perform bulk talent management tasks. Lists all candidates in the system
list_departments
g., Engineering, Sales, HR). Useful for filtering jobs or organizing the recruiting workspace by functional areas. Lists all organization departments
list_jobs
Returns job titles, IDs, and current status. Use this as the primary entry point to identify specific jobs or to provide an overview of the current hiring pipeline. Lists all job postings in JOIN
list_locations
Use this when the user asks for jobs in specific regions or needs to audit location-based recruiting data. Lists all job locations
list_users
Useful for identifying hiring managers or checking account access permissions. Lists all users in your JOIN account
Example Prompts for Join in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Join immediately.
"List all active job postings in JOIN."
"Show me the latest candidate applications."
"Get details for candidate ID '123'."
Troubleshooting Join MCP Server with Google ADK
Common issues when connecting Join to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkJoin + Google ADK FAQ
Common questions about integrating Join 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?
Connect Join with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Join to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.