How to Use the Deel MCP in Pydantic AI
Build type-safe HR and payment workflows using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Deel MCP to Pydantic AI
Create your Vinkius account to connect Deel 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.
Validate active contract structures with Pydantic AI
The `list_contracts` tool pulls metadata, legal types, and high-level compensation structures. Pydantic AI validates this incoming data against your strict schemas at runtime, ensuring your agent never processes corrupt contract formats. If the platform API returns an unexpected field, your pipeline fails immediately. This MCP Server ensures your schemas stay aligned before your agent can take action on a contract.
Parse expense reports with zero structural drift
The `list_expenses` tool retrieves receipt attachments, currency amounts, and approval statuses. Your agent reads these fields with absolute type certainty, mapping them directly to Python types. Matching claims to specific team members is straightforward when using `get_person` alongside these expenses using this MCP integration. The framework guarantees that every personal ID and payment history record matches your expected data models.
Track milestone payouts using this safe MCP Server
The `list_milestones` tool exposes project stages, payment amounts, and projected dates. Pydantic AI parses these dates into native Python datetime objects, catching formatting errors instantly. You can pair this with `list_tasks` to verify completed work against active milestones. It ensures your automated payment systems only run when all technical criteria are strictly met.
Set up Deel 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": {
"deel-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Deel tools.",
)
result = await agent.run("List recent Deel 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 Deel. 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.
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Common questions about Deel MCP in Pydantic AI
Use it with your favorite AI tools
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