Web Speed solves the Signal-to-Noise problem for AI agents. While the modern web is optimized for human eyes (messy HTML, complex layouts, JS-heavy interfaces), Web Speed translates that chaos into…
Web Speed is an MCP project maintained in the dominic-pi-sunyer/web-speed-oss repository. The maintainer describes its purpose as “Web Speed solves the Signal-to-Noise problem for AI agents. While the modern web is optimized for human eyes (messy HTML, complex layouts, JS-heavy interfaces), Web…”. Read the project documentation for the complete scope.
The project provides a local client configuration using /absolute/path/to/web-interpreter/venv/bin/python. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| interpret_page | Full structured map: headings, navigation, content links, forms, tables, text, metadata |
| submit_form | Submit a form (GET or POST), get back the resulting page's map |
| site_map | Crawl from a root URL, return a combined map of all pages |
| inspect_element | Deep structural data for nodes matching a CSS selector |
| page_type | Instant page classification — login, listing, article, form, navigation, other |
| invalidate_cache | Drop a cached map so the next call fetches fresh |
{
"mcpServers": {
"web-speed": {
"command": "/absolute/path/to/web-interpreter/venv/bin/python",
"args": [
"/absolute/path/to/web-interpreter/server.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.
Mailbox Node CLI monorepo (workspace)
This is a Model Context Protocol (MCP) server for Hatch API integration. It provides tools for finding emails, phone numbers, verifying emails, finding company data, and getting LinkedIn URLs.
tonydgbd’s community WhatsApp MCP project combines a Go account bridge with a Python MCP server; it is not a Go-only server.