How do I find my HID Origo Client ID and Secret?

Log in to the **HID Origo Management Portal**, navigate to the **System Accounts** section, and create a new system account. You will be provided with a Client ID and Client Secret for that account.

What is the Organization ID?

The Organization ID is a unique UUID that identifies your company in the HID Origo cloud. You can find it in the Management Portal under the Organization settings or profile section.

Can I send mobile identity invitations via the AI agent?

Yes! Use the `create_enrollment_invitation` tool. You must provide a JSON string containing the `userId` and the `partNumber` for the mobile identity you wish to issue.

Is the integration secure for access control data?

Absolutely. The integration uses industry-standard OAuth 2.0 Client Credentials over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

HID Origo MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: HID Origo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 HID Origo "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 HID Origo MCP Server

Connect your HID Origo platform to any AI agent and take full control of your cloud-based identity and physical access management through natural conversation.

Pydantic AI validates every HID Origo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Mobile Identity Oversight — List and retrieve details for all issued mobile identities (digital cards) and monitor their activation status.
User & Group Management — Access lists of users and identity groups defined in your tenant to ensure correct access policies.
Enrollment Automation — Send enrollment invitations for mobile identities directly from the chat interface.
Reader & Hardware Monitoring — List and monitor the status of IoT readers and door controllers connected to your organization.
Credential Tracking — Manage both physical and digital credentials linked to your users in a unified view.
Security Auditing — Retrieve system audit logs to monitor administrative actions and access events.

The HID Origo MCP Server exposes 11 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 HID Origo to Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 11 tools from HID Origo with type-safe schemas

Why Use Pydantic AI with the HID Origo MCP Server

Pydantic AI provides unique advantages when paired with HID Origo 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 HID Origo integration code

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

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

HID Origo + Pydantic AI Use Cases

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

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

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

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

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

HID Origo MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect HID Origo to Pydantic AI via MCP:

create_enrollment_invitation

Pass the invitation details as a JSON string in "body_json" (requires userId and partNumber). Send a new invitation to a user for mobile identity enrollment

get_audit_log_events

Useful for security monitoring and troubleshooting enrollment issues. Retrieve the history of administrative and access events

get_mobile_identity

Get details for a specific mobile identity

get_organization_info

Retrieve metadata and configuration for your HID Origo organization

get_user_details

Get detailed information for a specific user ID

list_access_readers

List all IoT readers and door controllers connected to HID Origo

list_identity_groups

List identity groups used for access control policies

list_identity_invitations

List all invitations sent for mobile identity enrollment

list_identity_users

Use this to find the user ID for credential or mobile identity assignment. List all users managed in the HID Origo tenant

list_mobile_identities

Monitor issuance and activation status. List all issued mobile identities (digital cards)

list_physical_credentials

List physical access credentials (cards, fobs) managed in the system

Example Prompts for HID Origo in Pydantic AI

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

"List all active mobile identities and their status."

"Show me the status of the access readers in the 'London Office'."

"Invite user 'user_992' to enroll for a mobile identity."

Troubleshooting HID Origo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HID Origo + Pydantic AI FAQ

Common questions about integrating HID Origo MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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