原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Feedthrough

作者:feedthrough版本 0.4.0i★ –i在你的电脑上运行
注册名称io.github.feedthrough/feedthrough

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网页与浏览器

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: FEEDTHROUGH_PORT, FEEDTHROUGH_ALLOWED_HOST_SUFFIXES

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

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

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • 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.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 feedthrough 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 876 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 876 个服务器的 35% 更新
  • 基础检查结果等于或优于此分类中其他 876 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Feedthrough 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.4.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Browser Use

作者:browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT16天前更新
安装

Chrome DevTools MCP

作者:ChromeDevTools

MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.015天前更新
安装

MCP Server Browser

作者:bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

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