Bring Applicant Tracking
to Google ADK
Learn how to connect Ninehire to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Ninehire MCP Server?
Connect your Ninehire account to any AI agent and take full control of your talent acquisition and applicant tracking orchestration through natural conversation. Ninehire (나인하이어) provides a modern recruitment platform, and this integration allows you to retrieve job metadata, manage candidate profiles, and monitor interview evaluations directly from your chat interface.
What you can do
- Job & Requirement Orchestration — List all active job openings and retrieve detailed requirements programmatically to ensure your hiring roadmap is always synchronized.
- Applicant & Pipeline Intelligence — Access and monitor candidate profiles and retrieve detailed application history directly from the AI interface to maintain high-fidelity talent pools.
- Evaluation & Feedback Control — List interview scores and comments via natural language to drive better hiring decisions and team alignment.
- Manual Applicant Ingestion — Register new applicants and manage department or location metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage recruitment webhooks to ensure your hiring workflows are always optimized.
How it works
1. Subscribe to this server
2. Enter your Ninehire API Key from your integration settings
3. Start managing your recruitment pipeline from Claude, Cursor, or any MCP-compatible client
No more manual status checking in the ATS for candidate updates. Your AI acts as a dedicated recruitment coordinator or HR lead.
Who is this for?
- Recruiters & HR Specialists — quickly retrieve candidate summaries and monitor job performance without switching apps.
- Hiring Managers — automate the retrieval of evaluations and track pipeline progress via natural conversation.
- Growth Teams — streamline the ingestion of new candidates and monitor organizational hiring health directly within the chat.
Built-in capabilities (12)
Verify Ninehire API status
Get details for a specific candidate
Get current account profile
Get details for a specific job
Get evaluations for a candidate
List active webhooks
List internal hiring teams
List candidates and applicants
List hiring locations
Supports filtering by title, job group, and employment type. List all job openings
List company departments
Requires essential info like name and email. Add a candidate manually
Why Google ADK?
Google ADK natively supports Ninehire as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Ninehire
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Ninehire tools with BigQuery, Vertex AI, and Cloud Functions
Ninehire in Google ADK
Ninehire and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Ninehire to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Ninehire in Google ADK
The Ninehire 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Ninehire for Google ADK
Every tool call from Google ADK to the Ninehire MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the evaluations for a specific applicant?
Yes! Use the list_candidate_evaluations tool with the Applicant ID. Your agent will respond with complete metadata for all feedback scores and comments from the interview process in seconds.
How do I find my Ninehire API Key?
Log in to Ninehire, navigate to Settings > External Service Integration > Data > API, and click 'Issue API Key' to generate your unique secret token.
Can I register a new applicant via the AI?
Absolutely. Use the register_new_applicant tool. Provide the candidate metadata and the Job ID, and the agent will add the record to your ATS pipeline immediately.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
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Update: pip install --upgrade google-adk