Wizehire MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Check Api Health, Create New Candidate, Get Candidate Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wizehire through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Wizehire app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Wizehire "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in Wizehire?"
)
print(result.data)
asyncio.run(main())
* 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 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.
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.
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.
The Wizehire MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Wizehire tools available for Pydantic AI
When Pydantic AI connects to Wizehire through Vinkius, your AI agent gets direct access to every tool listed below — spanning hiring-platform, candidate-tracking, job-postings, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
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
Connect Wizehire to Pydantic AI via MCP
Follow these steps to wire Wizehire into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Wizehire MCP Server
Pydantic AI provides unique advantages when paired with Wizehire through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Wizehire integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Wizehire connection logic from agent behavior for testable, maintainable code
Wizehire + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Wizehire MCP Server delivers measurable value.
Type-safe data pipelines: query Wizehire with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Wizehire tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Wizehire and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Wizehire responses and write comprehensive agent tests
Example Prompts for Wizehire in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Wizehire immediately.
"List my active job postings in Wizehire."
"Show the latest candidates for the 'Sales Executive' role."
Troubleshooting Wizehire MCP Server with Pydantic AI
Common issues when connecting Wizehire to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWizehire + Pydantic AI FAQ
Common questions about integrating Wizehire MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.