Browser Use
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.
Description from the maker (original English)
260 MCP tools across 49 domains. AI Flywheel, quality gates, research, web scraping.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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": {
"nodebench": {
"command": "npx",
"args": [
"-y",
"nodebench-mcp"
]
}
}
}Run this in your terminal
claude mcp add nodebench -- npx -y nodebench-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"nodebench": {
"command": "npx",
"args": [
"-y",
"nodebench-mcp"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"nodebench": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"nodebench-mcp"
]
}
}
}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.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account HomenShum, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (2.31.2) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
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
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.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
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.
Investigate a topic and return a sourced report fast. The NodeBench MCP architecture is now split into three install lanes that share one runtime.
Default install: 9 visible tools total, including 7 core workflow tools: investigate, compare, track, summarize, search, report, and ask_context.
# Core workflow lane
claude mcp add nodebench -- npx -y nodebench-mcp
claude mcp add nodebench-power -- npx -y nodebench-mcp-power
claude mcp add nodebench-admin -- npx -y nodebench-mcp-admin
--admin, --dashboards, or --watchdog explicitly.--health now loads only the active preset instead of eagerly loading every domain.nodebench-mcp-power and nodebench-mcp-admin are now published companion packages, while --preset power and --preset admin remain compatible paths on the core package.New here? Read [AGENT_LOGIC.md](./AGENT_LOGIC.md) for the complete guide to how NodeBench thinks.
This section records a repo-grounded reexamination of NodeBench MCP as of April 2026. It is intentionally blunt. The goal is to shrink the product to clear, measurable workflows and make the runtime and claims trustworthy.
350+ tools, founder under 50 tools, and full as 338.28 tools in the starter tools/list payload, roughly 186 in founder, and roughly 546 in full, before counting the extra dynamic-loading helpers separately.packages/mcp-local/src/index.ts currently combines MCP serving, analytics tracking, embedding bootstrapping, profiling hooks, A/B instrumentation, dynamic tool loading, dashboard startup, and engine hosting in one runtime path.node packages/mcp-local/dist/index.js --health took about 2.9s locally because CLI mode eagerly loaded all toolsets before exit.tools/list output must agree.tools/list payload size, per-tool latency, and workflow time-to-first-value.| Ship order | Cause | Symptom in NodeBench | Metric to enforce |
|---|---|---|---|
| 1 | No single dominant job | The package reads like "everything MCP" instead of one clear wedge | Every persona entry point must answer the main job in one sentence |
| 2 | Tool surface is not truthful | README counts and runtime counts disagree | Published counts must match tools/list within 5% |
| 3 | Workflow is hidden behind tool volume | Users see presets, domains, and discovery systems before a clear task path | One canonical workflow per persona, completable in 3 to 5 tool calls |
| 4 | Performance is claimed, not instrumented | Benchmarks focus on harness overhead, not real user value | Track startup p50/p95, tools/list bytes, per-tool latency, workflow success, and real spend |
| 5 | Hot path contains optional systems | Profiling, embeddings, dashboards, and engine behavior sit in the main boot path | --health under 300ms and stdio ready under 500ms on warm start |
| 6 | Benchmarking is inward-facing | The package proves bookkeeping more than business outcomes | Benchmark by artifact quality, time-to-artifact, cost-per-artifact, and reuse rate |
tool-search utility.NodeBench MCP should evolve from a monolithic "hundreds of tools" surface into a smaller number of opinionated workflow products backed by a measurable, trustworthy runtime.
Unified cross-surface spec: docs/architecture/UNIFIED_WORKFLOW_SPEC.md
Production companion spec: docs/architecture/UNIFIED_WEB_MCP_PRODUCTION_SPEC.md
Founder MCP flow spec: docs/architecture/FOUNDER_MCP_FLOW_SPEC.md
NodeBench is now a workflow-first MCP. The default install proves one concrete job quickly, and the heavier surfaces are still available when you explicitly ask for them.
| Entry | Surface | What it is for |
|---|---|---|
nodebench-mcp | 9 visible tools | Workflow-first lane: investigate, compare, track, summarize, search, report, ask_context, discover_tools, load_toolset |
nodebench-mcp-power | expanded workflow surface | Founder, recon, packets, and web-heavy workflows without admin runtime |
nodebench-mcp-admin | operator surface | Profiling, observability, dashboards, eval, and debug-oriented lanes |
core | full methodology lane | Verification, eval, learning, recon, execution trace, and mission harness |
founder | compatibility preset | Legacy founder-facing pack kept for existing setups |
full | all loaded domains | Maximum coverage when you explicitly want the warehouse |
ASK -> CHECK -> WRITE -> SAVE
The default preset is optimized for that loop. It does not start local dashboards or the observability watchdog unless you pass admin flags explicitly.
# Claude Code core lane
claude mcp add nodebench -- npx -y nodebench-mcp
claude mcp add nodebench-power -- npx -y nodebench-mcp-power
claude mcp add nodebench-admin -- npx -y nodebench-mcp-admin
claude mcp add nodebench -- npx -y nodebench-mcp
claude mcp add nodebench-power -- npx -y nodebench-mcp-power claude mcp add nodebench-admin -- npx -y nodebench-mcp-admin
Or add to ~/.claude/settings.json or .mcp.json in your project root:
{
"mcpServers": { "nodebench": { "command": "npx", "args": ["-y", "nodebench-mcp"] } } }
Add to .cursor/mcp.json (or Settings > MCP). Use the cursor preset to stay within Cursor's tool limit:
{
"mcpServers": { "nodebench": { "command": "npx", "args": ["-y", "nodebench-mcp", "--preset", "cursor"] } } }
Add to .windsurf/mcp.json (or Settings > MCP > View raw config):
{
"mcpServers": { "nodebench-power": { "command": "npx", "args": ["-y", "nodebench-mcp-power"] } } }
Any MCP-compatible client works. Point command to npx and choose the package that matches the lane you want:
["-y", "nodebench-mcp"] for the tiny default workflow lane["-y", "nodebench-mcp-power"] for the expanded founder/research lane["-y", "nodebench-mcp-admin"] for the operator laneAdd "--preset", " " only when you want a compatibility preset on the core package.
# Research a topic
Use investigate with topic="Anthropic" to produce a sourced report
Use compare with entities=["Anthropic","OpenAI"] to get a side-by-side brief
Use report with topic="AI agent infrastructure" and context="..." to produce a decision memo
Use search with query="MCP server best practices 2026"
Use track with action="add" and entity="Anthropic"
Use discover_tools("visual QA for a Vite app"), then load_toolset("ui_ux_dive")
export GEMINI_API_KEY="your-key" # Web search + vision (recommended)
export GITHUB_TOKEN="your-token" # GitHub (higher rate limits)
Set these as environment variables, or add them to the env block in your MCP config:
{
"mcpServers": { "nodebench": { "command": "npx", "args": ["-y", "nodebench-mcp"], "env": { "GEMINI_API_KEY": "your-key", "GITHUB_TOKEN": "your-token" } } } }
The default preset exposes 9 tools. Everything else stays off the hot path until you deliberately load a specific toolset.
1. discover_tools("your task description") → ranked results from the full registry
discover_tools scores tools using 14 parallel strategies:
| Strategy | What it does |
|---|---|
| Keyword + TF-IDF | Exact matching, rare tags score higher |
| Fuzzy (Levenshtein) | Tolerates typos |
| Semantic (synonyms) | 30 word families — "check" finds "verify", "validate" |
| N-gram + Bigram | Partial words and phrases |
| Dense (TF-IDF cosine) | Vector-like ranking |
| Embedding (neural) |
Only the beginning is shown; read the rest in the repo