npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

cdp-mcp

v0.2.2

Published

Chrome DevTools Protocol MCP server — a TypeScript-aware frontend debugger for AI agents.

Readme

cdp-mcp

A Model Context Protocol (MCP) server that exposes the Chrome DevTools Protocol (CDP) to AI agents as a TypeScript-aware frontend debugger.

Designed for agents running in CLIs (Claude Code, GitHub Copilot CLI) that have local source + source-map access. Coordinates flow in TS terms; the server translates to JS for CDP under the hood.

Status: alpha. License: MIT.

Last updated: 2026-06-09

What it gives an agent

Across 48 tools:

  • Breakpoints in TS sourceset_breakpoint(file="src/foo.ts", line=42, condition?, log_message?). The server matches source maps and binds in every script that maps back to that file.
  • Steppingstep_over, step_into, step_out, resume, pause, plus the authoritative sync point wait_for_pause.
  • Live inspection at a paused frameget_call_stack, get_scope, evaluate (frame-aware), get_object_properties. All call-stack frames are TS-mapped.
  • Buffered console + network — pull-based, paginated by monotonic seq. Bodies are lazy-loaded via get_request_body / get_response_body.
  • Light DOM interactionquery_selector, click, type_text, press_key, screenshot so the agent can drive a flow to a breakpoint.
  • Structured DOM querying — Playwright-inspired locate (LocatorSpec: CSS, text, role, test-id, label, placeholder, name), wait_for (poll until DOM state), get_form_state (read named form fields).
  • Form drivingfill, check / uncheck, select_option, plus suggest_locator to get a robust semantic locator for an element.
  • Session portabilityexport_storage_state / load_storage_state carry a logged-in session (cookies + localStorage) across runs; get_cookies / set_cookies read and set cookies directly (get_cookies redacts likely-auth / HttpOnly values for safe logging).
  • Source-map diagnosticslist_scripts, resolve_source_position, get_script_source.

Auto-attaches to iframes and workers via Target.setAutoAttach({ flatten: true }).

Install / build

Runtime install from npm

Requires Node.js 20+ and a local Chrome/Chromium browser.

npm install -g cdp-mcp
cdp-mcp                           # stdio MCP transport
cdp-mcp --port 9719               # SSE MCP transport on 127.0.0.1:9719
cdp-mcp --host 0.0.0.0 --port 9719 --allow-remote

The npm package ships prebuilt dist/, so there is no build step for runtime use. If launch_chrome cannot find Chrome/Chromium automatically, set CHROME_PATH to the browser binary.

For MCP clients that support SSE, you can run cdp-mcp as a persistent local service:

Persistent service mode keeps the cdp-mcp process and current browser/CDP session alive across MCP client restarts or reconnects. It does not persist state across service-process restarts. SSE mode is single-client today; if a new client should start fresh, call close_session first.

Build from source

npm install
npm run build
node dist/index.js                    # stdio MCP transport (default — this is what Claude Code launches)
node dist/index.js --port 9719        # SSE MCP transport on 127.0.0.1:9719
node dist/index.js --host 0.0.0.0 --port 9719 --allow-remote

SSE mode caveats:

  • Single-client only. Every /sse connection gets its own McpServer, but every tool funnels through one process-global sessionState — two concurrent clients race on the same browser (shared pause state, breakpoints, console/network buffers; launch_chrome from client B tears down client A's session).
  • Non-loopback bind requires opt-in. --allow-remote (or CDP_MCP_ALLOW_REMOTE=1) is required to bind to anything other than loopback. MCP tools include evaluate (in-page code exec), a screenshot path= filesystem write, export_storage_state (writes full cookie values — including HttpOnly auth secrets — to a server-side file) and load_storage_state (reads an arbitrary server-side file); the gate makes remote exposure a deliberate operator decision rather than a default.
  • Host / Origin headers are validated on loopback binds to block DNS-rebinding against 127.0.0.1 / localhost / [::1]. On non-loopback binds the operator has already accepted exposure via --allow-remote, and the server can't statically enumerate every hostname/IP a LAN/VPN/DNS client might reach it by — those checks are skipped. If you need per-Host policy on a LAN/WAN deployment, front the server with a reverse proxy that enforces it.

Smoke test (no browser needed — verifies the protocol surface):

npm run smoke

Unit + L2 contract tests (~640ms, no browser, no LLM):

npm test

The test/ tree is the L2 contract layer (every tool exercised against a fake CDP — see test/fake-cdp.ts); the inline src/**/*.test.ts files are L1 pure-data tests; evals/**/*.test.ts cover the L4 harness's grader/trace/oracle units. See docs/test-eval-plan.md for the full pyramid.

L3 — real-browser end-to-end

npm run test:e2e

Drives the 48 MCP tools against a real headless Chromium attached to a built copy of examples/sample-app/. Eleven specs cover lifecycle, breakpoints, stepping, exceptions, console, network, workers, screenshot, DOM interaction, form driving, and storage portability. Sequential (one Chrome shared across specs, isolated by a shared afterEach(close_session)). Run time is a few seconds on a warm machine.

Browser selection (CDP_TEST_BROWSER env, default chromium):

| Linux x86_64 | Linux ARM64 (primary local) | macOS | Windows | |---|---|---|---| | chromium: Playwright's bundled binary, system chromium, or apt | chromium: Playwright's bundled binary or apt (/snap/bin/chromium honored with snap-confinement userDataDir workaround) | chromium: Homebrew / Playwright bundled | chromium: Playwright bundled (set CDP_TEST_BROWSER_PATH) | | chrome: chrome-launcher auto-detect | not supported — fail-fast | chrome: chrome-launcher auto-detect | chrome: chrome-launcher auto-detect |

Local-Windows status: at the time L3 landed, chrome-launcher 1.2.1 fails to bind to its own picked port on Windows 11 (ECONNREFUSED inside chrome- launcher's startup poll) regardless of headless mode, Chrome stable vs Playwright Chromium, or explicit ports. The same code path works on Linux where CI runs. If you need to test L3 changes locally on Windows, run them under WSL2 (Ubuntu) or push and let CI validate. The unit + L2 tests work fine on Windows.

Setting an explicit binary path (for example, after running npx playwright install chromium locally on Linux) lets the resolver skip detection and use the bundled binary:

export CDP_TEST_BROWSER_PATH="$HOME/.cache/ms-playwright/chromium-1223/chrome-linux/chrome"
npm run test:e2e

Any spec failing on Chromium-only but passing on Chrome stable should land with a // @chromium-skip — <gap-id> comment AND a row in docs/known-chromium-gaps.mdnpm run lint:chromium-skips (and the pretest hook) enforces this.

launch_chrome defaults to --no-sandbox for Ubuntu/Playwright-Chromium compatibility. See docs/chromium-sandboxing.md before changing that default or relying on sandbox: true, AppArmor, snap confinement, or Bubblewrap. For the step-by-step setup that gets local npm run test:e2e passing with the sandbox on (install Playwright Chromium

L4 — LLM agent evals

export ANTHROPIC_API_KEY=...
npm run eval:quick                 # 1 scenario × 1 trial (~$0.50–2 at default Opus-4.8-medium; ~$0.05 with EVAL_MODEL_OVERRIDE=claude-sonnet-4-6)
npm run eval                       # all scenarios × 3 trials (~$4 full pass — first observed on Opus-4.7-medium, the prior default; 4.8 shares its rate card)
npm run eval -- --scenarios=compute-step --trials=1

Use npm run eval (or npm run eval:quick) — NOT npx tsx evals/cli.ts directly. The npm script triggers the preeval lifecycle hook which rebuilds dist/index.js (the MCP subprocess); calling tsx directly bypasses the hook and a fresh clone fails with Cannot find module '.../dist/index.js'. If you must invoke tsx directly, run npm run build first.

Drives the cdp-mcp tool surface through an LLM agent via the VendorAdapter seam (evals/harness/vendor.ts); the Anthropic adapter backed by @anthropic-ai/sdk is the default; OpenAI, Vertex, DeepSeek, and Moonshot/Kimi are also shipped production adapters (plus an LM Studio reference adapter for local models), each selected via EVAL_PROVIDER. Each trial spawns a fresh dist/index.js MCP subprocess + a static server for the scenario's sample-app variant; the tool-use loop drives the page, sets source-level breakpoints, inspects pauses, and produces a natural-language final answer. NDJSON traces land under evals/runs/<run-id>/ (gitignored). A programmatic oracle per scenario (no LLM judge) emits a dual-axis verdict — mechanic (did the agent exercise the debugger workflow under test) + correctness (did the final answer name the bug) — plus efficiency ratio and recovery count.

Default model: claude-opus-4-8 with adaptive thinking at effort=medium (set in evals/harness/model.ts). Adaptive-style models (Opus 4.7+) default to medium-effort thinking when no env override is set; budget-style models (Sonnet 4.6, selectable via EVAL_MODEL_OVERRIDE) keep extended thinking off by default for the cheap-baseline path. Override via env:

  • EVAL_MODEL_OVERRIDE=claude-sonnet-4-6 — switch to the budget-style Sonnet baseline (no thinking by default; ~$5–10/full run).
  • EVAL_REASONING_LEVEL=none|low|medium|high|xhigh|max — pick a tier (or explicit none to disable on adaptive models). On budget-style models each tier maps to a default budget_tokens in TIER_BUDGET_TOKENS (high=16K). On adaptive models the tier maps directly to Anthropic's effort parameter.
  • EVAL_REASONING_BUDGET=N — override the budget on budget-style models. Used alone the level is tagged custom; used alongside EVAL_REASONING_LEVEL it overrides that tier's default.

Thinking-on runs are non-deterministic (Anthropic requires temperature=1 with thinking), so use --trials >= 3 to characterize variance. Cost-cap: $100 per npm run eval invocation (override via EVAL_BUDGET_USD env). Rotation across the Anthropic family + GPT-5.5 is a follow-up — see the proposal at docs/eval-model-rotation-proposal.md.

Caching: the system prompt + tool list are tagged cache_control: ephemeral. The system block (~280 tokens) is below Anthropic's ~1024-token cache-breakpoint minimum, so only the ~5K-token tools array actually caches across trials — that's enough to dominate the input cost across trial 2+. Verify post-run via the cacheTokens field on each t:"usage" trace entry (the Anthropic adapter populates cacheTokens.cacheReadInputTokens and cacheTokens.cacheCreationInputTokens verbatim from the SDK's cache_read_input_tokens / cache_creation_input_tokens).

Non-Anthropic backends ship behind the same seam, each selected via EVAL_PROVIDER: OpenAI / GPT-5.5 (#50/#58) — reasoning-off trials route to /v1/chat/completions (#50), reasoning-on trials to /v1/responses (#58), the only OpenAI surface that supports tools × reasoning_effort on GPT-5.5; Vertex / Gemini (#51); and DeepSeek + Moonshot/Kimi (GH #8), remote OpenAI-compatible /v1 vendors. An LM Studio investigation artifact is wired behind the seam for local models (issue #45). See evals/README.md for full EVAL_PROVIDER / EVAL_OPENAI_* / EVAL_VERTEX_* / EVAL_DEEPSEEK_* / EVAL_MOONSHOT_* / EVAL_LM_STUDIO_* details.

Currently registered scenarios (14) — 8 debugger scenarios (compute-step, adversarial-out-of-order, network-bug, console-error, event-binding, deep-source-map, worker-bug, conditional-bp) plus 6 driving + session-portability scenarios from issue #12 (form-drive, clearing-fill, idempotent-toggle, robust-locator, session-resume, cookie-redaction). compute-step is the canonical npm run eval:quick target; some scenarios run against the stock examples/sample-app/, others against per-scenario forks under evals/sample-app-variants/<name>/ built via npm run sample:build (scripts/build-variants.mjs). See evals/README.md for the full scenario table.

Wire into Claude Code

claude mcp add cdp-mcp node /absolute/path/to/dist/index.js

Or via ~/.claude.json:

{
  "mcpServers": {
    "cdp-mcp": { "command": "node", "args": ["/abs/path/dist/index.js"] }
  }
}

End-to-end smoke (with a browser)

  1. Install the sample app's deps and start it:
    cd examples/sample-app
    npm install
    npm run dev          # listens on :5173
  2. In a Claude Code session with cdp-mcp enabled, ask:

    Open localhost:5173 in a non-headless browser. Set a breakpoint at src/handlers.ts:7. Click #go. When it pauses, tell me what step is — and why the counter increments wrong.

  3. The agent should chain: launch_chromeset_breakpointclickwait_for_pauseget_scope/evaluateresume, and conclude that computeStep() returns 2 instead of 1.

Tool conventions for agents

  • File coords are TS, 1-based lines, 0-based columns unless the tool name ends in _js or takes a script_id.
  • Pause-only tools (get_call_stack, get_scope, evaluate with frame_index): return error: "not_paused" if called outside a pause.
  • Buffered tools (get_console_logs, get_network_requests): return a cursor (max seq seen). Pass it back as since to paginate.
  • Errors come back as isError: true with a structured { error, message } JSON payload.
  • Compact returns: previews trimmed to ~200 chars, lists capped at sensible defaults — bodies lazy-loaded via dedicated tools.

Programmatic contract (cdp-mcp/contract)

The structured LocatorSpec that locate, wait_for, and the form-driving tools accept is published as a side-effect-free subpath export, so external tooling can produce and validate specs without duplicating the shape or pulling in the CLI:

import { locatorSchema, parseLocator, serializeLocator } from "cdp-mcp/contract";
import type { LocatorSpec } from "cdp-mcp/contract";

const spec = parseLocator({ by: "role", role: "button", name: "Submit" });
locatorSchema.parse(spec);          // throws on an invalid shape
serializeLocator(spec);             // stable, normalized JSON

Exports: LocatorSpec (type), LocatorBy, locatorSchema / locatorShape / locatorBySchema (Zod), and normalizeLocator / parseLocator / serializeLocator / LocatorError. This module imports only zod. The subpath is ESM-only (the exports map defines import, not require) — consume it from an ESM module or a bundler.

Prior art

If cdp-mcp doesn't fit your workflow, look at:

Out of scope for v1

Firefox / Safari, Node.js debugging, Storage.*, Tracing.*, HeapProfiler.*, concurrent multi-page debugging.

See design notes — original plan snapshot + a section on what reviewer iteration discovered.