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

Framework support

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.

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

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.

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

6. click() / fill() — interact, then re-check logs and network

Project-memory snippet

Add this to whatever project-memory file your AI agent reads — CLAUDE.md for Claude Code, .cursor/rules/*.md for Cursor, and so on — to prime it with the right workflow:

## Debugging with Feedthrough

A Feedthrough MCP server is configured. When investigating UI bugs:

1. Call `connection_status()` first — fail fast if no browser is connected.
2. Check `get_console_logs()` before touching the DOM.
3. Check `get_network_requests()` for failed or missing API calls.
4. Use `query_dom` to orient yourself, `inspect_element` to dig into a specific element.
5. Interact with `click` / `fill`, then re-check logs.

Prefer element IDs as selectors — they're stable. Avoid long attribute selectors.

Sample system prompt

For one-off sessions with any MCP client:

You have access to the Feedthrough MCP server. It gives you live access to a running web app
from inside the browser — console logs, network requests, DOM state, and the ability to click
and fill inputs. Start by calling get_instructions() for the recommended workflow.

Security

v1 is local-only. Two guards enforce this:

• Localhost binding — the WebSocket server binds to 127.0.0.1, so it is not reachable from other machines on the network.

• Origin validation — each incoming WebSocket connection is checked against its Origin header. Loopback origins (localhost, 127.0.0.1, ::1) are always accepted, as is any host ending with an allowed suffix (default .test, so local dev domains like Laravel Valet's myapp.test connect out of the box). Override the suffix list with FEEDTHROUGH_ALLOWED_HOST_SUFFIXES (comma-separated; replaces the default — set it empty for loopback-only). Any other origin is rejected. A .test origin can only be presented by a page actually served from a .test host, which resolves locally, so this widens which local origins connect, not network reach.

What gets captured

Captured network requests include request and response bodies and headers, including Authorization, Cookie, and any other headers your app sends. That's intentional — debugging auth and session flows needs them. But the data does leave the page over the local WebSocket, flows through the MCP server, and reaches whichever AI agent you've connected. If that agent is cloud-backed, sensitive values reach the provider. Run Feedthrough only on dev machines and dev data. Do not inject @feedthrough/core into production builds.

Development

pnpm install       # install all workspace deps
pnpm build         # build all packages
pnpm typecheck     # typecheck all packages

Requires Node.js ≥ 22 and pnpm.

Releasing

Packages are versioned independently — bump only the package(s) you actually changed and leave the rest alone. Publishing to npm is handled by CI: the Publish to npm workflow runs on every published GitHub Release and publishes only the packages whose name@version isn't on npm yet, skipping the ones already published (via OIDC trusted publishing, no tokens).

To cut a release:

# 1. Bump the changed package(s) only
pnpm --filter @feedthrough/mcp exec npm version 0.1.1 --no-git-tag-version
# When bumping @feedthrough/mcp, also bump the version (and packages[].version) in
# packages/mcp/server.json to match — the MCP registry validates them against npm.
git add packages/mcp/package.json packages/mcp/server.json
git commit -m "Release @feedthrough/mcp 0.1.1"
git push

# 2. Create a GitHub Release (this triggers the publish workflow)
gh release create v0.1.1 --title "v0.1.1" --notes "..."

The workflow builds all packages and publishes only the newly bumped ones. It also publishes @feedthrough/mcp to the official MCP registry (io.github.feedthrough/feedthrough) via GitHub OIDC whenever the registry is missing the current version, so a failed registry publish can be retried by re-running the workflow (Actions tab, "Run workflow") with no version bump. Mark a release as a pre-release to skip publishing.

License

MIT — see LICENSE.