How to Use the Wizehire MCP in Pydantic AI
Manage your entire recruiting pipeline with Wizehire, built for Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
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
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Wizehire MCP today
We host it, we monitor it, we maintain it. You just paste one token.