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 pre-session page show

liveunknown~5s typical

mcpfacesign-mcp

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-facesign-facesign-mcp /launch_session_ui for me.

Input

Field	Type	Description
flow*	array	Array of nodes forming the session's directed graph
avatarId	string	Avatar ID from the facesign://catalog resource.
langs	array	Optional whitelist of BCP-47 language codes (from facesign://catalog) the session may use.
defaultLang	string	Optional fallback BCP-47 language code used when the end-user's browser language is not in
zone	string (us \| eu)	Data processing zone
metadata	object	Arbitrary metadata to attach
clientReferenceId	string	Your own reference ID for this session
providedData	object	Pre-known user data
videoAIAnalysisEnabled	boolean	Enable video AI fraud analysis
extractionSchema	array	Optional schema describing fields the FaceSign backend should extract from the session tra
customization	object	UI customization
landingHtml*	string	REQUIRED. Raw HTML/JS for the pre-session landing page. NO CDATA, NO markdown fences. Ever
recapHtml*	string	REQUIRED. Raw HTML/JS for the results/recap page. NO CDATA, NO markdown fences. Every visi
uiStrings*	object	REQUIRED. Per-language UI string dictionary: { langId: { key: translatedString } }. You in

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-facesign-facesign-mcp","endpoint":"/launch_session_ui","input":{"flow":[],"landingHtml":"...","recapHtml":"...","uiStrings":{}}}'

cli

npx cracked-ai run -p mcp-ai-facesign-facesign-mcp -e /launch_session_ui -i '{"flow":[],"landingHtml":"...","recapHtml":"...","uiStrings":{}}'

mcp

run_tool({ provider: "mcp-ai-facesign-facesign-mcp", endpoint: "/launch_session_ui", input: {"flow":[],"landingHtml":"...","recapHtml":"...","uiStrings":{}} })

Try it

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