Build and test FaceSign step-up verification flows from your AI coding tool. Connect the official Facesign MCP MCP server to Claude, ChatGPT, or Cursor through gate — one gateway URL, no config files, security-checked.
Free to start · No credit card · No hosting needed
Pick your client. Copy, paste, done — or let gate handle sign-ins and policies for you.
claude mcp add --transport http facesign-mcp https://mcp.facesign.ai/mcpRun in your terminal, then restart Claude Code.
Facesign MCP · https://mcp.facesign.ai/mcp
Real prompts you can type the moment it's connected — no setup, no docs to read.
“Use “set_api_key”: Set your FaceSign API key for this session. This must be called before any other FaceSign tools. Get your API key from the FaceSign dashboar.”
“Use “get_session”: Retrieve detailed information about a FaceSign session including status, transcript, AI analysis, node reports, video AI analysis, and async.”
“Use “list_sessions”: List FaceSign sessions with optional filtering by status, date range, and search term. Supports pagination via cursor.”
“Use “launch_session_ui”: 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 p.”
Every server in the gate directory has to pass the same four checks before your AI can touch it. Here's how Facesign MCP holds up.
Operated by Facesign MCP (facesign.ai) at its documented MCP endpoint — not a third-party mirror or community re-host.
This server only exposes public data — no account and no credentials are involved when you connect.
gate checks every tool for prompt injection, hidden instructions, data-exfiltration hints, and over-broad permissions before the server is available through your gateway.
If Facesign MCP adds or changes tools later, gate re-scans and alerts you — before your AI acts on the change.
Add one gateway URL to Claude, ChatGPT, or any MCP client. One-time setup, about two minutes.
Choose Facesign MCP in the gate directory. No sign-in needed.
Facesign MCP's tools are live in every AI client you've connected — with rules and logging built in.
Free to start · No credit card · No hosting needed
Fetched live from the official endpoint and re-checked daily by gate — not marketing copy.
set_api_key — Set your FaceSign API key for this session. This must be called before any other FaceSign tools. Get your API key from the FaceSign dashboar
get_session — Retrieve detailed information about a FaceSign session including status, transcript, AI analysis, node reports, video AI analysis, and async
list_sessions — List FaceSign sessions with optional filtering by status, date range, and search term. Supports pagination via cursor.
launch_session_ui — 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 p
export_app — Export the current FaceSign session configuration as a standalone, deployable Next.js application. You MUST supply `landingHtml` (pre-sessio
https://mcp.facesign.ai/mcpYes — Facesign MCP operates its own remote MCP server at mcp.facesign.ai. gate connects you to that official endpoint and adds security scanning, per-tool access rules, and an activity log on top.
Add gate's gateway URL to your AI client once, then pick Facesign MCP in the directory. No account or sign-in is needed. From then on, Facesign MCP's tools are available in every client you've connected to gate.
No. Facesign MCP runs the server, and gate is fully managed. You just connect one URL — there's nothing to install, deploy, or maintain.
It's the vendor's official endpoint, and gate scans its tools for prompt injection and hidden instructions before it goes live, re-checks it whenever it changes, and lets you allow, block, or require approval for every single tool.
Yes — you can get started with gate for free and connect Facesign MCP in minutes. No credit card required.
Every server below works through the same gateway URL — connect once, add tools anytime.
Set up Facesign MCP in: Claude · Claude Code · ChatGPT · Cursor · VS Code