Bring Hiring Platform
to Pydantic AI
Learn how to connect Wizehire 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 Wizehire MCP Server?
Connect your Wizehire hiring platform to any AI agent to streamline your recruitment lifecycle and candidate discovery. Wizehire provides a comprehensive ATS for managing applicant pipelines and assessments.
What you can do
- Candidate Orchestration — List applicants and retrieve detailed contact profiles with DISC+ assessment data.
- Job Oversight — Monitor active job postings and retrieve technical requirements and descriptions directly.
- Pipeline Automation — Move candidates between hiring stages like Interview or Hired via natural conversation.
- Team Management — List hiring team members and manage available recruitment stages programmatically.
- Workflow Intelligence — Get a comprehensive overview of your active hiring pipelines using natural language.
How it works
1. Subscribe to this server
2. Enter your Wizehire API Key from your account settings
3. Start managing your recruitment from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Recruiters — quickly retrieve candidate info and screening results without switching tabs.
- HR Managers — monitor job posting statuses and hiring progress via natural conversation.
- Business Owners — streamline the recruitment process and update candidate stages efficiently.
Built-in capabilities (12)
Verify Wizehire API connectivity
Requires name and email. Add a new candidate manually
Get details for a specific candidate
Get authenticated user profile
Get details for a specific job
List all active job openings
List all recruitment candidates
List active webhooks
List defined hiring stages
List hiring managers and team members
List business office locations
g., Interview, Hired). Move a candidate to a different stage
Why Pydantic AI?
Pydantic AI validates every Wizehire 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 Wizehire 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 Wizehire connection logic from agent behavior for testable, maintainable code
Wizehire in Pydantic AI
Wizehire and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Wizehire 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 Wizehire in Pydantic AI
The Wizehire 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
Wizehire for Pydantic AI
Every tool call from Pydantic AI to the Wizehire MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Where do I find my Wizehire API Key?
Log in to your Wizehire account, go to Account > API Keys, and generate your unique Bearer token.
Can I view DISC+ assessment results via AI?
Yes! The get_candidate_details tool retrieves full profile data, which typically includes the results from the DISC+ assessment screening.
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 Wizehire MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai