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 CrewAI 11 tools — connect in under 2 minutes

Name: HID Origo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to HID Origo through Vinkius, pass the Edge URL in the `mcps` parameter and every HID Origo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="HID Origo Specialist",
    goal="Help users interact with HID Origo effectively",
    backstory=(
        "You are an expert at leveraging HID Origo tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in HID Origo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, HID Origo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HID Origo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from HID Origo

Why Use CrewAI with the HID Origo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HID Origo through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

HID Origo + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries HID Origo for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries HID Origo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain HID Origo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries HID Origo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

HID Origo MCP Tools for CrewAI (11)

These 11 tools become available when you connect HID Origo to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

HID Origo + CrewAI FAQ

Common questions about integrating HID Origo MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.