MCP server

Facesign Official

ai.facesign/facesign-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Build and test FaceSign step-up verification flows from your AI coding tool

Website

At a glance

Type

MCP server

Publisher

facesign.ai (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 24,225 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http facesign-mcp https://mcp.facesign.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.facesign-mcp]
url = "https://mcp.facesign.ai/mcp"

Gemini CLI

{"mcpServers":{"facesign-mcp":{"httpUrl":"https://mcp.facesign.ai/mcp"}}}

Cursor

{"mcpServers":{"facesign-mcp":{"url":"https://mcp.facesign.ai/mcp"}}}

VS Code

{"servers":{"facesign-mcp":{"type":"http","url":"https://mcp.facesign.ai/mcp"}}}

Antigravity

agy mcp add facesign-mcp https://mcp.facesign.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"facesign-mcp","server_url":"https://mcp.facesign.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"facesign-mcp","server_url":"https://mcp.facesign.ai/mcp"}

Tools

• export_app ~11673 tokens
  Export the current FaceSign session configuration as a standalone, deployable Next.js application. You MUST supply `landingHtml` (pre-session page), `recapHtml` (results page), and `uiStrings` (per-language dictionary whose keys are invented by you to match placeholders in the HTML). The exported ap
• get_session ~126 tokens
  Retrieve detailed information about a FaceSign session including status, transcript, AI analysis, node reports, video AI analysis, and asynchronous analysis lifecycle states.
• launch_session_ui ~11808 tokens
  REQUIRES set_api_key to be called first. Launch a local web page in the browser for a FaceSign session. You MUST supply `landingHtml` (the pre-session page shown before the iframe), `recapHtml` (the results page shown after the session finishes), and `uiStrings` (a per-language dictionary whose keys
• list_sessions ~356 tokens
  List FaceSign sessions with optional filtering by status, date range, and search term. Supports pagination via cursor.
• set_api_key ~262 tokens
  Set your FaceSign API key for this session. This must be called before any other FaceSign tools. Get your API key from the FaceSign dashboard. The key starts with sk_live_... or sk_test_... Optionally override the API server URL via `serverUrl` — intended for FaceSign developers pointing the SDK at

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