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agent-skills

Organization
Deep-Identity-Inc

AI-powered identity verification for the agentic ecosystem. Agent skills and MCP server for face liveness, ID verification, deepfake detection, AML screening, and more via the deepidv API.

PublisherDeep-Identity-Inc
Repositoryagent-skills
LanguageShell
Forks
0
Stars
2
Available tools
12
Transport typestdio
Categories
File Systems
LicenseApache-2.0
Links
GitHubHomepage
  • Connect tools to AI workflows

    agent-skills exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 12 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    2 stars and 0 forks from the linked repository.

deepidv: AI-Powered Verification Engine

License: Apache-2.0 Skill Standard GDPR Compliant SOC 2 Compliant CCPA Compliant

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 ID
  • client_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

Apache License 2.0

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "deepidv": {
      "command": "curl",
      "args": [
        "-X",
        "POST",
        "https://mcp.deepidv.com/v1/mcp"
      ],
      "env": {
        "DEEPIDV_CLIENT_ID": "<YOUR_DEEPIDV_CLIENT_ID>",
        "DEEPIDV_CLIENT_SECRET": "<YOUR_DEEPIDV_CLIENT_SECRET>"
      }
    }
  }
}

Available Tools

  • list_verification_sessions

    List all verification sessions

  • get_verification_session

    Get detailed information about a specific verification session

  • create_verification_session

    Create a new verification session

  • update_verification_session

    Update the status of an existing verification session

  • retrieve_session_artifacts

    Retrieve artifacts from a verification session

  • list_workflows

    List all available workflows

  • get_workflow_definition

    Get detailed definition of a specific workflow

  • create_workflow

    Create a new reusable workflow

  • list_bank_statements

    List all bank statement requests

  • get_bank_statement

    Get detailed information about a specific bank statement

  • query_bank_statement_by_external_id

    Query bank statements by external ID

  • create_bank_statement_request

    Create a new bank statement request

Use agent-skills MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once agent-skills is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add agent-skills as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the agent-skills MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "agent-skills": {
      "command": "npx",
      "args": [
        "-y",
        "null"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the agent-skills MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the agent-skills MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use agent-skills to help me with this task?
agent-skills
Sure. I read it.
Here is what I found using agent-skills.

Frequently asked questions

What is the agent-skills MCP server used for?

agent-skills is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use agent-skills MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use agent-skills with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use agent-skills MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With agent-skills connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect agent-skills MCP to TypingMind?

agent-skills runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does agent-skills MCP provide in TypingMind?

agent-skills exposes 12 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use agent-skills MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If agent-skills requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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