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PopNx MCPMCP servers for people who use AI · explained in plain words

Nodebench

by HomenShumversion 2.31.2i★ –iRuns on your computer
Registry nameio.github.HomenShum/nodebench

Install

Overview

Description from the maker (original English)

260 MCP tools across 49 domains. AI Flywheel, quality gates, research, web scraping.

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).
  • The registry lists no key to fill in.

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": {
    "nodebench": {
      "command": "npx",
      "args": [
        "-y",
        "nodebench-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add nodebench -- npx -y nodebench-mcp

Open in Cursor

Or copy the settings yourself

Paste 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.

Open in VS Code

Or copy the settings yourself

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.

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 HomenShum, 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 4% 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 Nodebench 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 (2.31.2) reached the registry 8 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

Browser Use

by 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.

Computer or cloud★ 120,087MITUpdated 16 days ago
Install

Chrome DevTools MCP

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
Install

MCP Server Browser

by bytedance

MCP server for browser use access

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.

NodeBench MCP

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

Power lane

claude mcp add nodebench-power -- npx -y nodebench-mcp-power

Admin lane

claude mcp add nodebench-admin -- npx -y nodebench-mcp-admin

What's New
  • v3 default surface - the default preset is now a workflow-first facade instead of a tool warehouse.
  • Admin-only runtime gates - dashboards and the observability watchdog no longer start on the default hot path. Use --admin, --dashboards, or --watchdog explicitly.
  • Faster health path - --health now loads only the active preset instead of eagerly loading every domain.
  • Separate install lanes - 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.


RETHINK REDESIGN APR 2026

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.

Repo-grounded findings
  • Surface area and messaging were out of sync
  • At the time of this audit, the README marketed 350+ tools, founder under 50 tools, and full as 338.
  • The audit that drove this section measured roughly 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.
  • The core executable is overloaded
  • 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.
  • Performance is not yet credibly measured
  • During this audit, node packages/mcp-local/dist/index.js --health took about 2.9s locally because CLI mode eagerly loaded all toolsets before exit.
  • The main performance comparison in the package measures local toolchain overhead, not end-user outcome quality, startup SLOs, workflow completion, or real provider spend.
  • Cost reporting is not yet auditable
  • The current profiler relies on heuristic per-tool cost estimates, not authoritative provider billing or exact token accounting.
  • Workflow clarity is weak
  • The product currently explains presets, domains, discovery engines, and meta-systems before it proves one concrete job to be done.
Redesign principles
  1. One dominant workflow per persona
  • A founder should land on one obvious path.
  • A banker should land on one obvious path.
  • The MCP should prove value before it explains its architecture.
  1. Truthful counts and truthful claims
  • Preset docs, README counts, and tools/list output must agree.
  1. Speed is a product behavior
  • Measure startup time, tools/list payload size, per-tool latency, and workflow time-to-first-value.
  1. Keep optional systems out of the hot path
  • Embeddings, dashboards, profilers, and engine surfaces should not make the default MCP startup slower.
  1. Prefer workflows over catalogs
  • Opinionated, repeatable outcomes are more valuable than an oversized flat tool inventory.
  1. Ship process, not prose
  • The right mental model is a small number of strong workflows with evidence and verification, not a giant capabilities brochure.
Execution board
Ship orderCauseSymptom in NodeBenchMetric to enforce
1No single dominant jobThe package reads like "everything MCP" instead of one clear wedgeEvery persona entry point must answer the main job in one sentence
2Tool surface is not truthfulREADME counts and runtime counts disagreePublished counts must match tools/list within 5%
3Workflow is hidden behind tool volumeUsers see presets, domains, and discovery systems before a clear task pathOne canonical workflow per persona, completable in 3 to 5 tool calls
4Performance is claimed, not instrumentedBenchmarks focus on harness overhead, not real user valueTrack startup p50/p95, tools/list bytes, per-tool latency, workflow success, and real spend
5Hot path contains optional systemsProfiling, embeddings, dashboards, and engine behavior sit in the main boot path--health under 300ms and stdio ready under 500ms on warm start
6Benchmarking is inward-facingThe package proves bookkeeping more than business outcomesBenchmark by artifact quality, time-to-artifact, cost-per-artifact, and reuse rate
Reference models
  • [agent-skills](https://github.com/addyosmani/agent-skills): process, not prose. Strong lifecycle commands, checkpoints, and evidence requirements.
  • [GitHub MCP Server](https://github.com/github/github-mcp-server): narrower toolsets improve tool choice and reduce context size. The server also exposes a simple tool-search utility.
  • [Google MCP Toolbox](https://github.com/googleapis/mcp-toolbox): performance and operability are anchored in concrete runtime primitives such as connection pooling and OpenTelemetry, not only internal heuristics.
Bottom line

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


What You Get

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.

Install Lanes And Presets
EntrySurfaceWhat it is for
nodebench-mcp9 visible toolsWorkflow-first lane: investigate, compare, track, summarize, search, report, ask_context, discover_tools, load_toolset
nodebench-mcp-powerexpanded workflow surfaceFounder, recon, packets, and web-heavy workflows without admin runtime
nodebench-mcp-adminoperator surfaceProfiling, observability, dashboards, eval, and debug-oriented lanes
corefull methodology laneVerification, eval, learning, recon, execution trace, and mission harness
foundercompatibility presetLegacy founder-facing pack kept for existing setups
fullall loaded domainsMaximum coverage when you explicitly want the warehouse
Default workflow
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 Code power lane

claude mcp add nodebench-power -- npx -y nodebench-mcp-power

Claude Code admin lane

claude mcp add nodebench-admin -- npx -y nodebench-mcp-admin

Windsurf / Cursor - add --preset to args only when you want a compatibility preset on the core package


Quick Start

Claude Code (CLI)
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"] } } }

Cursor

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"] } } }

Windsurf

Add to .windsurf/mcp.json (or Settings > MCP > View raw config):

{

"mcpServers": { "nodebench-power": { "command": "npx", "args": ["-y", "nodebench-mcp-power"] } } }

Other MCP Clients

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 lane

Add "--preset", " " only when you want a compatibility preset on the core package.

First Prompts to Try
# Research a topic

Use investigate with topic="Anthropic" to produce a sourced report

Compare two entities

Use compare with entities=["Anthropic","OpenAI"] to get a side-by-side brief

Turn rough notes into a report

Use report with topic="AI agent infrastructure" and context="..." to produce a decision memo

Search live web + saved knowledge

Use search with query="MCP server best practices 2026"

Track an entity

Use track with action="add" and entity="Anthropic"

Expand only when you need more

Use discover_tools("visual QA for a Vite app"), then load_toolset("ui_ux_dive")

Optional: API Keys
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" } } } }


Progressive Discovery — How Optional Toolsets Stay Off the Hot Path

The default preset exposes 9 tools. Everything else stays off the hot path until you deliberately load a specific toolset.

How it works
1. discover_tools("your task description")    → ranked results from the full registry
  1. load_toolset("ui_ux_dive") → a specific toolset activates in your session
  2. Use the newly loaded tools directly → no proxy, native binding
  3. Keep the default surface small → only load what the workflow needs
Multi-modal search engine

discover_tools scores tools using 14 parallel strategies:

StrategyWhat it does
Keyword + TF-IDFExact matching, rare tags score higher
Fuzzy (Levenshtein)Tolerates typos
Semantic (synonyms)30 word families — "check" finds "verify", "validate"
N-gram + BigramPartial words and phrases
Dense (TF-IDF cosine)Vector-like ranking
Embedding (neural)

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

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