4,000+ servers built on vurb.ts
Vinkius
LlamaIndexFramework
LlamaIndex
Onfido MCP Server

Bring Identity Verification
to LlamaIndex

Learn how to connect Onfido to LlamaIndex and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create ApplicantCreate CheckCreate Workflow RunGet ReportGet Workflow RunRegister Webhook

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Onfido

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

  1. Subscribe to this server
  2. Enter your Onfido API Token
  3. 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_applicant

Create a new Onfido applicant

create_check

Create a new Check (Legacy/Classic)

create_workflow_run

Create a new Workflow Run

get_report

Retrieve a Verification Report

get_workflow_run

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

register_webhook

Register a new Webhook

Why LlamaIndex?

LlamaIndex agents combine Onfido tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Onfido tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Onfido tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Onfido, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Onfido tools were called, what data was returned, and how it influenced the final answer

L
See it in action

Onfido in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Onfido and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Onfido to LlamaIndex 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Onfido in LlamaIndex

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 LlamaIndex 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.

Onfido
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

The Vinkius Advantage

How Vinkius secures Onfido for LlamaIndex

Every tool call from LlamaIndex to the Onfido MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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'.

02

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.

03

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'.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Onfido tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

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