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How to Use the Wizehire MCP in Pydantic AI

Manage your entire recruiting pipeline with Wizehire, built for Pydantic AI.

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Pydantic AI

Connect Wizehire MCP to Pydantic AI

Create your Vinkius account to connect Wizehire to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Update candidate progress instantly

Moving a person from 'Screening' to 'Interview'? Just invoke `update_candidate_hiring_stage`. This tool manages candidates, job postings, and hiring stages via Wizehire. Because it’s validated by Pydantic AI, you know the status change is correct. The agent updates records in Wizehire flawlessly.

List all active jobs or people

Need a quick overview of what's happening? Use `list_active_job_postings` to see every open role, or run `list_candidates` for a full roster. You can also check the team structure by calling `list_hiring_team`. It pulls names and roles straight from Wizehire.

Build profiles for new hires

Finding a great person? Don't wait. You can use `create_new_candidate` by supplying their name and email to get them into the system. For existing talent, pull up all history on one specific candidate using `get_candidate_details`. The Pydantic validation guarantees you get structured data.

Setup guide

Set up Wizehire MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wizehire-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Wizehire tools.",
)

result = await agent.run("List recent Wizehire transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wizehire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wizehire MCP in Pydantic AI

Run the `list_active_job_postings` tool. It returns a clean, validated list of all current openings in Wizehire. You'll never get malformed data.
Yep. Use `get_current_user` to pull up the profile of the person running your agent. It keeps track of who has access within Wizehire.
You check system connectivity using `list_configured_webhooks`. This shows every active hook set up in Wizehire. The structured response ensures you know exactly what's connected.
You get specific job details by calling `get_job_details`. This returns validated information about a role, like the department or required level in Wizehire.
The server touches candidate records (names and emails). Because of Pydantic's strict validation, your agent only works on the specific candidate data types you request from Wizehire.

Start using the Wizehire MCP today

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