Bring Applicant Tracking
to Pydantic AI
Learn how to connect Ninehire to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every Ninehire tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Ninehire integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Ninehire connection logic from agent behavior for testable, maintainable code
Ninehire in Pydantic AI
Ninehire and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Ninehire to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Ninehire MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai