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Feedthrough

by feedthroughversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.feedthrough/feedthrough

Install

Overview

Description from the maker (original English)

Debug bridge inside your web app: an agent reads the DOM, console and network. Any browser.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Web & browsers

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: FEEDTHROUGH_PORT, FEEDTHROUGH_ALLOWED_HOST_SUFFIXES

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "feedthrough": {
      "command": "npx",
      "args": [
        "-y",
        "@feedthrough/mcp"
      ],
      "env": {
        "FEEDTHROUGH_PORT": "your-value",
        "FEEDTHROUGH_ALLOWED_HOST_SUFFIXES": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add feedthrough --env FEEDTHROUGH_PORT=your-value --env FEEDTHROUGH_ALLOWED_HOST_SUFFIXES=your-value -- npx -y @feedthrough/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "feedthrough": {
      "command": "npx",
      "args": [
        "-y",
        "@feedthrough/mcp"
      ],
      "env": {
        "FEEDTHROUGH_PORT": "your-value",
        "FEEDTHROUGH_ALLOWED_HOST_SUFFIXES": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "feedthrough": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@feedthrough/mcp"
      ],
      "env": {
        "FEEDTHROUGH_PORT": "your-value",
        "FEEDTHROUGH_ALLOWED_HOST_SUFFIXES": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • FEEDTHROUGH_PORT env
    Port the bridge WebSocket server listens on (defaults to 8765).
  • FEEDTHROUGH_ALLOWED_HOST_SUFFIXES env
    Comma-separated non-loopback host suffixes allowed to connect (defaults to .test). Setting it replaces the default, so include .test to keep it.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account feedthrough, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Web & browsersi

  • More stars than 0% of the other 876 servers in this category
  • Published to the registry more recently than 35% of the other 876 servers in this category
  • Basic checks equal to or better than 100% of the other 876 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Feedthrough safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

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by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago
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MCP Server Browser

by bytedance

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Runs on your computer★ 39,550Apache-2.0Updated 14 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Feedthrough

Debug with AI — from inside your app.

Feedthrough injects a lightweight debug bridge into any running web page, then exposes everything — DOM state, console logs, network requests, and user interactions — as MCP tools. Any MCP-compatible AI agent can inspect and drive the page conversationally, in real time.

Browser (any)

└── @feedthrough/core ← injected into your page ├── console interceptor ├── fetch / XHR interceptor └── DOM inspector ↕ WebSocket @feedthrough/mcp ← MCP server, exposes tools over stdio └── Tools: click, fill, inspect_element, query_dom, get_console_logs, get_network_requests, … ↕ MCP protocol Claude Code / Cursor / any MCP client


The name

Many physics and chemistry experiments run inside a sealed vacuum chamber, with all the air pumped out so nothing contaminates the experiment. The catch: you still need to control instruments inside the chamber and read their measurements, and the smallest air leak ruins the run. A feedthrough is the part that solves this — a specially engineered connector that carries electrical signals through the chamber wall while keeping the vacuum perfectly intact. You can't reach inside, but the feedthrough lets you observe and control what's happening in there anyway.

The parallel is exact: Feedthrough extracts runtime debug data from inside a running web app without disturbing it, and sends control signals back in — clicks, keystrokes, DOM queries — without breaking the execution environment.


Why Feedthrough?

Every other browser MCP tool is an external observer — it controls the browser from outside via Puppeteer or CDP and only works in Chrome. Feedthrough is an embedded agent. It runs *inside* the page, so it sees:

  • Framework internals (React component trees, Redux store, custom globals)
  • Any browser, not just Chrome
  • Your existing dev workflow — no separate controlled browser to launch
  • Cypress's own browser context during test runs

Packages

PackageDescription
@feedthrough/coreIn-browser bridge — intercepts console, fetch, XHR; handles commands
@feedthrough/mcpMCP server — bridges any MCP client to the browser via WebSocket
@feedthrough/cypressCypress adapter — auto-injects the bridge before each test page load
@feedthrough/playwrightPlaywright adapter — injects the bridge via page.addInitScript()
@feedthrough/viteVite plugin for apps with a static index.html
@feedthrough/webpackWebpack plugin — adds bridge as a global entry point
@feedthrough/nextjsNext.js adapter — wraps next.config.ts with withFeedthrough()
@feedthrough/nuxtNuxt 3 module
@feedthrough/sveltekitSvelteKit adapter — injects via the handle hook
@feedthrough/remixRemix adapter — injects via a Vite dev server middleware

Framework support

FrameworkAdapterNotes
Vite + React / Vue / Solid / Preact@feedthrough/viteStatic index.html — plugin uses transformIndexHtml
Next.js@feedthrough/nextjsWraps the webpack config; dev only
Nuxt 3@feedthrough/nuxtRegisters as a Nuxt module; dev only
SvelteKit@feedthrough/sveltekithandle hook with transformPageChunk; dev only
Remix@feedthrough/remixVite dev server middleware; dev only
Webpack apps@feedthrough/webpackGlobal entry point; guards against production mode
Cypress@feedthrough/cypresswindow:before:load hook
Playwright@feedthrough/playwrightpage.addInitScript()

Quick start

1. Start the MCP server
npx @feedthrough/mcp

The server listens for browser connections on ws://127.0.0.1:8765 and exposes MCP tools on stdio. Override the port with FEEDTHROUGH_PORT=9000. If the port is already taken, the server steps up to the next free one rather than refusing to start — see Running several sessions at once.

2. Add it to your MCP client config
{

"mcpServers": { "feedthrough": { "command": "npx", "args": ["@feedthrough/mcp"] } } }

3. Inject the bridge into your page

Vite + React / Vue / Solid / Preact:

// vite.config.ts

import { feedthrough } from "@feedthrough/vite"; export default defineConfig({ plugins: [feedthrough()] });

Next.js:

// next.config.ts

import { withFeedthrough } from "@feedthrough/nextjs"; export default withFeedthrough()({ /* your next config */ });

Nuxt 3:

// nuxt.config.ts

export default defineNuxtConfig({ modules: ["@feedthrough/nuxt"] });

SvelteKit:

// src/hooks.server.ts

import { feedthroughHandle } from "@feedthrough/sveltekit"; import { sequence } from "@sveltejs/kit/hooks"; export const handle = sequence(feedthroughHandle);

Remix:

// vite.config.ts

import { feedthrough } from "@feedthrough/remix"; export default defineConfig({ plugins: [remix(), feedthrough()] });

Webpack:

// webpack.config.mjs

import { FeedthroughPlugin } from "@feedthrough/webpack"; export default { plugins: [new FeedthroughPlugin()] };

Cypress:

// cypress/support/e2e.ts

import { setupFeedthrough } from "@feedthrough/cypress"; setupFeedthrough();

Playwright:

// import test from the adapter instead of @playwright/test

import { test, expect } from "@feedthrough/playwright";

Or manually (any bundler):

// main.ts

if (import.meta.env.DEV) { import("@feedthrough/core").then(({ init }) => init()); }

4. Open your page and start asking

Once the bridge connects you'll see [feedthrough] tab connected in the MCP server output. For the simplest experience, keep a single tab open. Multiple tabs can connect at the same time and commands are routed to the most recently active one, but a single tab avoids any ambiguity.

Then ask your AI agent:

> What's on the page right now?

Click the submit button and tell me what network requests fired

Why is the counter showing the wrong value?


MCP tools

ToolDescription
get_instructions()Usage guide — recommended workflow, tool ordering, and selector tips
query_dom(selector)All elements matching a CSS selector
inspect_element(selector, properties?)Tag, attributes, full bounding rect + inViewport, ancestor path, curated computed styles, overflow info (clipped/overflowing content), clipped-by-ancestor info, effective visibility (visible + hiddenReason, accounting for ancestors), occlusion (hittable + occludedBy), accessibility (a11y: role, name, states), pseudo ::before/::after content, live form state; properties reads extra CSS props by name
get_html(selector)Raw outerHTML of a region (capped at 50 KB)
get_console_logs(limit?, levels?, match?, since?)Console output (all methods) plus uncaught errors & promise rejections; filter by levels, match, or since timestamp
get_network_requests(filter?, since?)Captured fetch + XHR — URL, method, status, duration, headers, request/response bodies (10 KB cap); narrow by filter or since
get_page_info()URL, title, readyState, viewport size, scroll position, user agent, and which bridge this page is connected to
connection_status()Connected tabs and which one is active, plus this server's name, version, and bound port
click(selector)Click an element via native click() (fires click + default activation, not the pointer sequence)
fill(selector, value)Set an input/textarea/select value (fires input + change, not keystrokes)
hover(selector)Fire mouseover/mouseenter to mount hover UI (JS handlers, not CSS :hover)
press_key(selector, key)Dispatch a key press — Enter, Escape, Tab, arrow keys, or a character
set_style(selector, properties)Preview a visual fix — set inline CSS live (not saved to source)
set_attribute(selector, name, value)Preview an attribute change — toggle disabled, swap a class, set aria-* (null removes)
set_text(selector, text)Preview wording/label changes — replace an element's text
reset_overrides()Undo every live set_style / set_attribute / set_text change

Live edit is a preview, not a save. set_style / set_attribute / set_text mutate the running DOM so the agent can show you a fix without a rebuild. They are *not* written to your source and reset on reload/HMR. The loop: the agent previews live, you confirm, then it edits the actual source to make it stick. Changes a framework owns (text, controlled attributes) may be overwritten on the next render — the tool result flags this so the agent can tell you.


Example app

examples/react-app is a small React app with three deliberate bugs — a good sandbox for trying out the diagnostic workflow:

# Terminal 1 — app

cd examples/react-app && pnpm dev # http://localhost:5173

Terminal 2 — MCP server

cd packages/mcp && node dist/index.js

Connect an AI agent and ask it to find what's wrong. The three bugs are all invisible from the UI but findable in under a minute via get_console_logs, get_network_requests, and query_dom.


Running several sessions at once

Two AI agent sessions on one machine each start their own Feedthrough MCP server, and only one of them can have port 8765. That is handled, but it is worth knowing how.

The server moves, and tells you where it went. On a busy port it steps up (8766, 8767, …) instead of failing. connection_status() reports the port it actually bound, and the agent passes that to the dev server it starts:

FEEDTHROUGH_PORT=8766 npm run dev

Every build-tool adapter — vite, webpack, nextjs, nuxt, sveltekit, remix — reads FEEDTHROUGH_PORT (or FEEDTHROUGH_URL for a full ws:// URL) in Node at config-load time and bakes the result into the injected bridge. So a committed, argument-free feedthrough() pairs correctly in any session, with no file edits. An explicit serverUrl option always wins over the environment.

If you start the dev server yourself, the environment is unset and the page falls back to 8765, which may be another session's server. Either export the port before starting it, or pin one per project (below).

Pinning a port per project. For a project you always work on in its own session, pin the port on both ends and neither has to think about it. In .mcp.json:

{

"mcpServers": { "feedthrough": { "command": "npx", "args": ["@feedthrough/mcp"], "env": { "FEEDTHROUGH_PORT": "8770" } } } }

and in the app's config, feedthrough({ serverUrl: "ws://localhost:8770" }).

Telling bridges apart. Each server picks a readable name at startup (quiet-olive-heron) and sends it to every page that connects. The page logs one line to the browser console, stores it on window.__feedthrough.server, and returns it from get_page_info(). The agent's own name comes from connection_status(). Two different names mean the tab is paired with another session's server — so "am I driving the right app?" is one call, not something you notice by watching the wrong window change.


Using with an AI agent

Recommended workflow
  1. connection_status() — confirm the bridge is connected before anything else
  2. get_console_logs() — errors and app output often identify the root cause immediately
  3. get_network_requests() — look for failed fetches, wrong URLs, or missing calls
  4. query_dom(selector) — find elements and check what's rendered
  5. inspect_element(selector) — deep-dive on a specific element

Only the beginning is shown; read the rest in the repo

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