Workable MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Create Candidate, Get Candidate Profile, Get Job Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Workable 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 Workable app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 7 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 Workable "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in Workable?"
)
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 Workable MCP Server
Connect your Workable recruiting account to any AI agent and simplify how you manage your hiring pipelines, track candidates, and coordinate with your team through natural conversation.
Pydantic AI validates every Workable tool response against typed schemas, catching data inconsistencies at build time. Connect 7 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
- Job Management — List all active and archived job openings and retrieve detailed job descriptions and requirements.
- Candidate Tracking — List and inspect candidates across all jobs, and drill down into specific profiles for experience and status.
- Direct Sourcing — Programmatically register new candidates to specific job openings to accelerate your hiring process.
- Team Coordination — List account members and recruiters to understand your hiring team structure.
- Ecosystem Overview — List linked accounts and verify your Workable instance configuration via AI.
The Workable MCP Server exposes 7 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 7 Workable tools available for Pydantic AI
When Pydantic AI connects to Workable through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, hiring-workflow, candidate-screening, 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.
Register a new candidate to a job
Get details for a specific candidate
Get details for a specific job
List hiring team members
List candidates across all jobs
List active job openings
List connected accounts
Connect Workable to Pydantic AI via MCP
Follow these steps to wire Workable 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 Workable MCP Server
Pydantic AI provides unique advantages when paired with Workable 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 Workable integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Workable connection logic from agent behavior for testable, maintainable code
Workable + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Workable MCP Server delivers measurable value.
Type-safe data pipelines: query Workable with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Workable tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Workable and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Workable responses and write comprehensive agent tests
Example Prompts for Workable in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Workable immediately.
"List all active job openings in our Workable account."
"Show me the details for the candidate 'John Smith'."
"Add 'Jane Doe' (jane.doe@example.com) as a candidate for the job 'ENG-101'."
Troubleshooting Workable MCP Server with Pydantic AI
Common issues when connecting Workable to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWorkable + Pydantic AI FAQ
Common questions about integrating Workable 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.