HRBlade MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Interview, Get Candidate Details, List Candidates, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HRBlade 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 HRBlade app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 6 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 HRBlade "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in HRBlade?"
)
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 HRBlade MCP Server
Connect your HRBlade account to any AI agent and manage asynchronous video interviews through natural conversation.
Pydantic AI validates every HRBlade tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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
- Interview Templates — List all interview templates and create new ones with custom questions, time limits, and instructions
- Candidate Invitations — Send video interview invitations to candidates by email with personalized details
- Candidate Management — Browse all candidates in your pipeline and inspect individual profiles with status
- Response Review — List all submitted video responses to review candidate answers and evaluate performance
The HRBlade MCP Server exposes 6 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 6 HRBlade tools available for Pydantic AI
When Pydantic AI connects to HRBlade through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-interviewing, candidate-screening, hiring-pipeline, 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.
Pass data as a JSON string. Create a new interview template
Get specific candidate details
List all recruiting candidates
List all candidate video responses
List all interview templates
Pass data as a JSON string. Send an invitation to a candidate
Connect HRBlade to Pydantic AI via MCP
Follow these steps to wire HRBlade 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 HRBlade MCP Server
Pydantic AI provides unique advantages when paired with HRBlade 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 HRBlade integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your HRBlade connection logic from agent behavior for testable, maintainable code
HRBlade + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the HRBlade MCP Server delivers measurable value.
Type-safe data pipelines: query HRBlade with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple HRBlade tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query HRBlade and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock HRBlade responses and write comprehensive agent tests
Example Prompts for HRBlade in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with HRBlade immediately.
"Create a 'Senior Developer' interview with 3 technical questions and send it to 2 candidates."
"Show all candidates in my pipeline and the latest video responses."
"List all interview templates and show which ones have pending responses to review."
Troubleshooting HRBlade MCP Server with Pydantic AI
Common issues when connecting HRBlade to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHRBlade + Pydantic AI FAQ
Common questions about integrating HRBlade 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.