Onfido MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Applicant, Create Check, Create Workflow Run, and more

Name: Onfido
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Onfido MCP Server for Pydantic AI is a standout in the Human Resources category — giving your AI agent 6 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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 Onfido "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Onfido?"
    )
    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 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.

Pydantic AI validates every Onfido tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

Create applicant on Onfido

Create a new Onfido applicant

create

Create check on Onfido

Create a new Check (Legacy/Classic)

create

Create workflow run on Onfido

Create a new Workflow Run

get

Get report on Onfido

Retrieve a Verification Report

get

Get workflow run on Onfido

g., awaiting_input, processing, approved, review, declined). Retrieve a Workflow Run

Register webhook on Onfido

Connect Onfido to Pydantic AI via MCP

Follow these steps to wire Onfido into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Onfido with type-safe schemas

Why Use Pydantic AI with the Onfido MCP Server

Pydantic AI provides unique advantages when paired with Onfido 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 Onfido integration code

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

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

Onfido + Pydantic AI Use Cases

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

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

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

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

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

Example Prompts for Onfido in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Onfido to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Onfido + Pydantic AI FAQ

Common questions about integrating Onfido 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 Onfido MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.