
agent-skills
AI identity verification MCP server with face liveness, ID verification, deepfake detection, AML screening for complianc
AI-powered verification engine providing identity verification, face liveness, deepfake detection, AML screening, and background checks through a single API. Accessible via hosted MCP server with OAuth authentication.
About agent-skills
agent-skills is a community-built MCP server published by Deep-Identity-Inc that provides AI assistants with tools and capabilities via the Model Context Protocol. AI identity verification MCP server with face liveness, ID verification, deepfake detection, AML screening for complianc It is categorized under file systems. This server exposes 12 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install agent-skills in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
agent-skills is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (12)
List all verification sessions
Get detailed information about a specific verification session
Create a new verification session
Update the status of an existing verification session
Retrieve artifacts from a verification session
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.
- Verification sessions — List sessions, inspect full session details, retrieve artifacts, create new verification sessions, and update session status
- Workflows — List workflows, inspect workflow definitions, and create reusable workflows
- Financial requests — List bank statements, retrieve bank statement details, query by external ID, and create bank statement requests
Access requires DeepIDV OAuth credentials:
client_id— the DeepIDV user IDclient_secret— an active API key owned by that same user
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 covers the Node.js and Python SDKs and all public API surfaces.
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 sales@deepidv.com.
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
Alternatives
Related Skills
Browse all skillsThis skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.
Build document Q&A and searchable knowledge bases with Google Gemini File Search - fully managed RAG with automatic chunking, embeddings, and citations. Upload 100+ file formats (PDF, Word, Excel, code), configure semantic search, and query with natural language.Use when: building document Q&A systems, creating searchable knowledge bases, implementing semantic search without managing embeddings, indexing large document collections (100+ formats), or troubleshooting document immutability errors (delete+re-upload required), storage quota issues (3x input size for embeddings), chunking configuration (500 tokens/chunk recommended), metadata limits (20 key-value pairs max), indexing cost surprises ($0.15/1M tokens one-time), operation polling timeouts (wait for done: true), force delete errors, or model compatibility (Gemini 2.5 Pro/Flash only).
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs.