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Deel MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Deel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Deel "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Deel?"
    )
    print(result.data)

asyncio.run(main())
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About Deel MCP Server

Integrate Deel, the all-in-one global people platform, directly into your AI workflow. Manage your international team, track contracts and compliance, monitor invoices and payments, and handle time-off requests using natural language.

Pydantic AI validates every Deel tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

  • Contract Management — List and view contracts with terms, compensation, and compliance status across 150+ countries.
  • Global Team Directory — Browse and retrieve profiles for all your employees and contractors in one unified view.
  • Payroll & Invoice Tracking — Monitor invoices, view payment history, and track processing status for your global workforce.
  • Leave & Expense Oversight — Monitor time-off requests and review submitted expenses with approval statuses.

The Deel MCP Server exposes 10 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.

How to Connect Deel to Pydantic AI via MCP

Follow these steps to integrate the Deel MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from Deel with type-safe schemas

Why Use Pydantic AI with the Deel MCP Server

Pydantic AI provides unique advantages when paired with Deel through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Deel integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Deel connection logic from agent behavior for testable, maintainable code

Deel + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Deel MCP Server delivers measurable value.

01

Type-safe data pipelines: query Deel with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Deel tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Deel and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Deel responses and write comprehensive agent tests

Deel MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Deel to Pydantic AI via MCP:

01

get_contract

Resolves detailed terms, compliance requirements, specific compensation rates, and effective dates. Get contract details

02

get_person

Resolves personal metadata, active and historical contract links, and cumulative payment history within the Deel platform. Get person details

03

list_contracts

Returns contract metadata including legal type (e.g., fixed, PAYG, milestone), current status, and high-level compensation structures. List all contracts

04

list_expenses

Returns expense report metadata including receipt attachments, currency amounts, and the current review status (approved/rejected/pending). List submitted expenses

05

list_invoices

Returns invoice metadata including billing amounts, issue dates, and current payment status (e.g., paid, pending, overdue). List all invoices

06

list_milestones

Returns identifiers, payment amounts, and projected achievement dates for defined project stages. List contract milestones

07

list_payments

Returns data on disbursement amounts, recipient identifiers, and the technical status of each transfer. List all payments

08

list_people

Returns a list of team members including their professional roles, geographical locations, and the nature of their Deel integration (employee vs. contractor). List all people (employees and contractors)

09

list_tasks

Returns task descriptions, due dates, and completion status for milestone-based engagements. List tasks for a contract

10

list_time_off

Returns a collection of time-off requests including requested dates, leave categories, and the current approval status for each entry. List time-off requests

Example Prompts for Deel in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Deel immediately.

01

"List all active contractors in my team."

02

"What invoices are currently pending payment?"

03

"Show me any time-off requests pending approval."

Troubleshooting Deel MCP Server with Pydantic AI

Common issues when connecting Deel to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Deel + Pydantic AI FAQ

Common questions about integrating Deel MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Deel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Deel to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.