Browser automation with vision models works pretty well these days. The problem is cost and latency — every action requires a screenshot, a model call, and a DOM interaction. For agents that run frequently or at scale, that adds up fast. But there's a deeper issue: the MCP ecosystem is growing fast, but it's mostly large platforms that get integrations. The long tail of apps will never get one. Your city's parking app, your local hairdresser's booking system, the small SaaS your team uses internally — nobody is writing an MCP server for those. And for mobile-only apps with no web interface at all, browser automation isn't even an option. Most of these apps already talk to a private API under the hood. Spectral lets you capture that API and expose it as MCP tools your agents can call directly — plain HTTP at runtime, no model, no browser. How it works: 1. You browse or use the app normally. A Chrome extension or MITM proxy records the traffic and correlates your UI actions with the underlying API calls. 2. An LLM analyzes the capture and generates typed MCP tools — with proper input schemas, descriptions, and auth handling. 3. A login script is auto-generated from the detected auth flow. 4. At runtime, your agent calls the real API directly over HTTP. No LLM involved, no browser, no overhead. There's also a community catalog at https://getspectral.sh/catalog/ for sharing captured tools — empty for now, so if you try it on something, I'd love you to be the first to contribute. Happy to go deep on any part of the implementation.

Spectral

Turn any app into tools for AI agents, no docs needed

Turn any app into tools for AI agents, no docs needed