Storylane MCP
Storylane operates a first-party hosted (remote) Model Context Protocol server that exposes the demo library, analytics, lead and link surface to MCP-capable AI clients. The server is documented publicly, requires OAuth, and is reachable today at a stable https endpoint — no local install step. It is materially wider than Storylane's documented External REST API: 22 tools cover demo creation from media, AI personalization, publishing, hubs, voices, analytics, leads and accounts, where the public REST documentation covers only demos and links.
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Documentation
Documentation link · transport
Tools
get_demo_analytics— Get views, unique visitors, session duration, CTA clicks, click-through rate, and completion rate for a demo.get_accounts— List companies that engaged with demos, including firmographic and engagement data.get_leads— Get leads captured through demo gating forms and their source demos.list_workspaces— List workspaces available to the authenticated user.switch_workspace— Change the active workspace for the current session.list_demos— List demos in the active workspace. Supports filtering and search.get_demo— Get a demo's steps, hotspots, embed settings, and share links.get_demo_status— Get a demo's publish and processing status.convert_images_to_demo— Create an interactive demo from uploaded images or screenshots.convert_video_to_demo— Create an interactive demo from a screen recording or video.add_step— Add a text, hotspot, or tooltip step to an existing demo.personalise_demo— Create an AI-personalized demo variant for a company, persona, or context.update_demo_settings— Update a demo's title, description, branding, gating, or embed settings.publish_demo— Publish a draft or updated demo.list_hubs— List Demo Hubs in the active workspace.get_hub— Get a hub's demos, ordering, branding, and share URL.list_links— List share links, tracking variables, creation dates, and view counts.create_link— Create a trackable demo link with custom variables.update_link— Update an existing link's variables, expiry, or access settings.list_voices— List available AI voices, languages, voice IDs, and preview URLs.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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