About deepidv
deepidv provides identity verification and compliance screening through API, agent skills, and a hosted platform. This repository adds agent-facing verification workflows, MCP tools for platform operations, and coding guidance for deepidv integrations.
Key features
- 01Identity and document checks
- 02Liveness and deepfake detection
- 03AML, sanctions, and media screening
- 04Applicant and session management
- 05Reusable workflows and bank requests
- 06Coding-agent integration guidance
Use cases
- 01Check identity documents and selfie liveness
- 02Screen subjects against sanctions and risk signals
- 03Manage verification sessions and applicants
- 04Build deepidv integrations with coding agents
MCP support
The hosted MCP server exposes DeepIDV operations as tools, including applicant and verification-session management, workflow creation, bank-statement requests, and screening. It supports remote OAuth-based access.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.deepidv.com/v1/mcpclaude mcp add --transport http deepidv https://mcp.deepidv.com/v1/mcp{"mcpServers":{"deepidv":{"type":"http","url":"https://mcp.deepidv.com/v1/mcp"}}}Open in Cursor{"servers":{"deepidv":{"type":"http","url":"https://mcp.deepidv.com/v1/mcp"}}}Open in VS Code{"mcpServers":{"deepidv":{"type":"http","url":"https://mcp.deepidv.com/v1/mcp"}}}{"mcpServers":{"deepidv":{"serverUrl":"https://mcp.deepidv.com/v1/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README
deepidv: AI-Powered Verification Engine
Verify anyone, anywhere in seconds. deepidv is an AI-powered verification engine that replaces the fragmented stack of identity vendors with a single platform. ID verification, face liveness, deepfake detection, AML screening, background checks, and more, all from one API.
This repository makes those capabilities accessible to AI agents and brings agentic intelligence into the deepidv platform itself. Three workstreams define how.
The Workstreams
Verify Skill
Any compatible AI agent can load this skill from the repository and immediately call deepidv's verification and screening APIs with no separate integration required. Endpoint routing, authentication, and request formatting are all handled by the skill.
- Face liveness — Confirms a selfie came from a live person, not a photo or replay attack
- Identity verification — Matches a government-issued ID against a selfie and validates the document
- Deepfake detection — Determines whether an image or video is AI-generated or synthetically manipulated
- Adverse media screening — Searches global news and public records for negative risk signals tied to a person
- AML and sanctions screening — Checks a subject against PEP lists, sanctions databases, and financial crime watchlists
- Combined verification — Runs a complete verification and screening flow in a single API call
Compatible with Claude Code, Codex, Cursor, Windsurf, and OpenCode. Full invocation guidance, endpoint routing, authentication instructions, and worked examples are in skills/deepidv-verify/SKILL.md.
MCP Server
The MCP server exposes hosted DeepIDV platform operations as structured tools that MCP-compatible clients can call directly. It is available at https://mcp.deepidv.com/v1/mcp and supports remote OAuth-based access.
- Applicants - Search applicants, inspect profiles, check invitation status, and resend invites
- Verification sessions - List sessions, inspect session details, retrieve artifacts, review timelines, create new verification sessions, expire sessions, and update outcomes
- Workflows - List workflows, inspect workflow definitions, and create reusable workflows
- Financial requests - List bank statements, retrieve bank statement details, view stats, query by external ID, and create bank statement requests
- Silent screening - Run PEP and sanctions checks, title checks, adverse-media screening, and async job polling
Hosted MCP access uses a shared public OAuth client:
client_id-deepidvif the client explicitly asks for itclient_secret- not used- user authentication - deepidv email, password, and MFA when required
Setup and usage docs are in mcp-server/README.md and mcp-server/llms-install.md.
deepAI Assistant Skill
The deepAI Assistant is a coding agent skill that activates in context when you're building a deepidv integration. Rather than bouncing between docs and your editor, you get SDK guidance, error explanations, webhook setup help, and compliance workflow advice right in your editor.
The assistant loads automatically when a coding agent detects deepidv SDK usage, API calls, webhook configuration, or KYC workflow implementation in the active codebase. It is aligned to the published @deepidv/server TypeScript docs and the public API surfaces so it can steer developers toward documented integration patterns.
See skills/deepai-assistant/SKILL.md for the current integration workflow, auth guidance, and troubleshooting notes.
Marketplace Distribution
The Verify skill is listed across the major agent skill directories and MCP marketplaces, including SkillsMP, SkillHub, Agent-Skills.md, MCP Market, Skills Directory, LobeHub Skills, Orthogonal, and Awesome MCP Servers.
If you maintain a skill directory and would like to list this skill, open an issue or reach out to [email protected].
Contributing
Bug reports, corrections to reference documentation, and improvements to skill definitions are welcome. Open an issue to discuss before submitting a pull request for anything substantial.
About deepidv
deepidv is a full-stack verification engine built to replace the fragmented stack of identity providers most teams are stuck with. It verifies identities, runs compliance screening, and monitors for fraud continuously. One platform, one API, one dashboard, one team.
Learn more at deepidv.com.
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.