Bring Identity Verification
to LangChain
Learn how to connect Onfido to LangChain 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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Onfido through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Onfido MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Onfido queries for multi-turn workflows
Onfido in LangChain
Onfido and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Onfido to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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