What runtime or dependencies does Web Speed require?
A Python 3 environment with the packages listed in `requirements.txt`. No LLM dependencies are needed—all AI logic lives in the calling agent.
@Dominic-Pi-Sunyer
Basic information
One call turns any web page into a structured map — what it is, what's on it, and the actions an agent can take (search, add-to-cart, log in, paginate) — instead of raw HTML or screenshots. Served from a shared, always-current registry, so popular pages return in milliseconds.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"webspeed": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.getwebspeed.io/mcp/sse",
"--header",
"X-Web-Speed-Key: wsp_your_key_here"
]
}
}
}Full structured map: headings, navigation, content links, forms, tables, text, metadata
Submit a form (GET or POST), get back the resulting page's map
Crawl from a root URL, return a combined map of all pages
Deep structural data for nodes matching a CSS selector
Instant page classification — `login`, `listing`, `article`, `form`, `navigation`, `other`
Drop a cached map so the next call fetches fresh
Web Speed solves the Signal‑to‑Noise problem for AI agents by translating cluttered, human‑oriented web HTML into a deterministic, token‑efficient structural map. It contains no AI itself—all interpretation is left to the calling agent—and provides six tools (interpret_page, submit_form, site_map, inspect_element, page_type, invalidate_cache) via the Model Context Protocol.
Install by cloning the repository, creating a Python virtual environment, and installing dependencies with pip install -r requirements.txt. Run locally with mcp dev server.py or over stdio with python server.py. Register with Claude Desktop or Cowork by adding a server entry to the MCP client configuration JSON; the six tools then appear under the web-speed server.
site_map crawls an entire domain in a single call.inspect_element.site_map.A Python 3 environment with the packages listed in `requirements.txt`. No LLM dependencies are needed—all AI logic lives in the calling agent.
Maps are cached as JSON files in a local `./cache/` directory with a 24‑hour TTL. Optionally, structural page data (not form values or session tokens) is contributed to the Web Speed shared registry at `api.getwebspeed.io`. This sync is opt‑out via the `WEB_SPEED_REGISTRY_SYNC=false` environment variable.
JS‑rendered SPAs (React, Vue, Angular) return only the pre‑render HTML shell—content injected by JavaScript will be missing. Page type classification is heuristic and may be inaccurate for shell‑only SPAs. Elements returned by `inspect_element` are capped at 25; navigation and content links are each capped at 60.
Tools never raise exceptions. On failure they return a JSON object with `"error": true`, a `code` (`FETCH_FAILED`, `PARSE_FAILED`, `TIMEOUT`, or `NOT_HTML`), and a `message` with a human‑readable explanation.
The README does not describe any built‑in authentication or authorization mechanisms. Form fields, including hidden CSRF tokens, are passed back verbatim for the calling agent to handle.

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