Onfido MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Applicant, Create Check, Create Workflow Run, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Onfido through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Onfido MCP Server for OpenAI Agents SDK is a standout in the Human Resources category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Onfido Assistant",
instructions=(
"You help users interact with Onfido. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Onfido"
)
print(result.final_output)
asyncio.run(main())
* 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 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.
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.
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.
The Onfido MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Onfido tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Onfido through Vinkius, your AI agent gets direct access to every tool listed below — spanning identity-verification, kyc, applicant-screening, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create applicant on Onfido
Create a new Onfido applicant
Create check on Onfido
Create a new Check (Legacy/Classic)
Create workflow run on Onfido
Create a new Workflow Run
Get report on Onfido
Retrieve a Verification Report
Get workflow run on Onfido
g., awaiting_input, processing, approved, review, declined). Retrieve a Workflow Run
Register webhook on Onfido
Register a new Webhook
Connect Onfido to OpenAI Agents SDK via MCP
Follow these steps to wire Onfido into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Onfido MCP Server
OpenAI Agents SDK provides unique advantages when paired with Onfido through the Model Context Protocol.
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
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Onfido + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Onfido MCP Server delivers measurable value.
Automated workflows: build agents that query Onfido, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Onfido, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Onfido tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Onfido to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Onfido in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Onfido immediately.
"Create a new Onfido applicant for John Doe (john.doe@example.com)."
"Start a verification workflow 'wf_abc' for applicant 'app_12345'."
"Retrieve the details for report ID 'rep_xyz789'."
Troubleshooting Onfido MCP Server with OpenAI Agents SDK
Common issues when connecting Onfido to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Onfido + OpenAI Agents SDK FAQ
Common questions about integrating Onfido MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
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