How to Use the HID Origo MCP in Pydantic AI

Q: How do I set up HID Origo in Pydantic AI?

Install the MCP toolset package and initialize an MCPToolset with your Vinkius HTTP endpoint. Pass this into your Agent constructor to enable type-safe tool calls.

Strict type-safe identity management for HID Origo using Pydantic AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HID Origo MCP to Pydantic AI

Create your Vinkius account to connect HID Origo 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.

GDPR Free for Subscribers

Setup HID Origo with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe HID Origo tool execution

Every response from `get_user_details` or `list_identity_groups` is validated against your Pydantic models. If the schema mismatches, the agent halts immediately to prevent errors. This makes your HID Origo operations predictable and reliable. You don't have to worry about silent failures when handling sensitive credential data.

Automate enrollment with Pydantic AI

Use `create_enrollment_invitation` with typed input objects to ensure every request is formatted correctly. The framework forces validation before the request leaves your local environment. This adds a layer of safety when managing mobile identities. You know exactly what data is being sent to your HID Origo tenant.

Audit and monitor using Pydantic AI

Fetch `get_audit_log_events` and map them to structured classes automatically. This allows your agent to process logs with total clarity and safety. It works perfectly with `list_mobile_identities` to track credential health. You get a robust, type-checked flow for all your security monitoring needs.

Setup guide

Set up HID Origo 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "hid-origo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to HID Origo tools.",
)

result = await agent.run("List recent HID Origo transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HID Origo. 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.

Connect HID Origo now

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 HID Origo MCP in Pydantic AI

Install the MCP toolset package and initialize an `MCPToolset` with your Vinkius HTTP endpoint. Pass this into your Agent constructor to enable type-safe tool calls.

The agent throws a validation error immediately. This prevents your code from processing unexpected or hallucinated fields from the API.

Yes, the framework is model-agnostic. You can connect HID Origo to any supported LLM while maintaining the same strict validation rules.

The framework supports both Streamable HTTP and SSE transports. You can configure your connection based on your server's specific connectivity requirements.

Data privacy is enforced by strict object mapping. Only the requested audit events and user identity records are loaded into your validated agent memory.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript