Bring Identity Verification
to OpenAI Agents SDK
Learn how to connect Onfido to OpenAI Agents SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Onfido MCP Server?
Connect your Onfido account to any AI agent to streamline your KYC (Know Your Customer) and identity verification processes through natural conversation.
What you can do
- Applicant Management — Create and manage applicant profiles representing individuals undergoing verification.
- Workflow Studio Integration — Start and monitor complex verification workflows (Workflow Runs) to automate multi-step identity checks.
- Legacy Checks — Create classic checks for specific report combinations like document verification and facial similarity.
- Detailed Reporting — Retrieve comprehensive verification reports, including results and granular breakdowns of identity data.
- Real-time Notifications — Register webhooks to receive asynchronous updates on verification statuses directly to your systems.
How it works
- Subscribe to this server
- Enter your Onfido API Token
- Start managing identity verifications from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Compliance Officers — instantly check the status of an applicant's verification or review report breakdowns without manual dashboard searching.
- Fintech Developers — integrate and test identity verification flows directly from the code editor or terminal.
- Operations Teams — automate the creation of applicants and trigger verification workflows as part of user onboarding.
Built-in capabilities (6)
Create a new Onfido applicant
Create a new Check (Legacy/Classic)
Create a new Workflow Run
Retrieve a Verification Report
g., awaiting_input, processing, approved, review, declined). Retrieve a Workflow Run
Register a new Webhook
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 6 tools from Onfido through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Onfido, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Onfido in OpenAI Agents SDK
Onfido and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Onfido to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Onfido in OpenAI Agents SDK
The Onfido 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Onfido for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Onfido MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check the current status of a verification process?
Use the get_workflow_run tool with the specific Workflow Run ID. It will return the current state, such as 'awaiting_input', 'processing', 'approved', or 'declined'.
Can I create a verification check without using Workflow Studio?
Yes. Use the create_check tool for legacy integrations. You can specify a comma-separated list of report names, such as 'document, facial_similarity_photo', for a specific applicant ID.
How do I get notified when a report is completed?
You can use the register_webhook tool to set up a listener URL for specific events like 'report.completed', 'check.completed', or 'workflow_run.completed'.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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