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mcptoon

by activeing123version 0.8.34i★ –iRuns on your computer
Registry nameio.github.activeing123/mcptoon

Install

Overview

Description from the maker (original English)

MCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).

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: Other

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

  • PyPIPython’s uv installed (for the uvx 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": {
    "mcptoon": {
      "command": "uvx",
      "args": [
        "mcptoon"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mcptoon -- uvx mcptoon

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcptoon": {
      "command": "uvx",
      "args": [
        "mcptoon"
      ]
    }
  }
}

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": {
    "mcptoon": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mcptoon"
      ]
    }
  }
}

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 activeing123, 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 Otheri

  • More stars than 0% of the other 32476 servers in this category
  • Published to the registry more recently than 82% of the other 32476 servers in this category
  • Basic checks equal to or better than 100% of the other 32476 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 mcptoon 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 (0.8.34) reached the registry 7 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, zanadir

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

zanadir

by MustacheCase

Find what a repository's CI is missing, and which security checks cannot fail the build.

Runs on your computerUpdated today
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.

One Place for All Your Agents' MCP Tools and Skills.

Install 1,000 skills and 1,000 MCP tools locally — and never worry about context flooding.

Tools and skills configured in any single agent just work across Cursor, Claude Code, Codex, and 103+ desktop & terminal agents.

Pioneering on-demand schema retrieval out of the box — no more stuffing context windows, saving 99% context tokens .

Zero dependencies, pure local, offline-first.

If this saves you tokens, please star the repo — it helps other builders discover it.

🌐 Official Website · 🧮 30s Token Tax Calculator · 🇨🇳 中文文档 · 📖 Developer Docs

Skeptical of a synthetic 255-tool sample? Here are 7 real public MCP servers (209 tools) measured on a real machine → — 640,606 → 905 tokens (−99.86%). Or run mcptoon bench on your own catalog.

https://github.com/user-attachments/assets/0272d3a8-c74f-428d-8559-fbf804ce0685

① 💥 Tools, skills & docs eating your context — afraid to add more?

Add as many as you like. Tool schemas 72k → 581 tokens .

Tools −99.2% · Skills −99.99% · Docs 40k→17k per question

② 🧩 Several agents — JSON configs and skills both a chore?

It's a native CLI : any agent that can run a shell command gets every feature — no MCP server, no config. sync covers the GUI clients too ( 103+ ).

No JSON editing, no restart

③ 🔍 Overwhelmed by thousands of MCP tools across the web?

No more hunting for install docs. It first scans and takes over the tools you already have , then finds the rest by plain language — install and call on the spot.

mcptoon discover (scan installed) → search (find online) → call (run directly)

Also: OpenAPI / GraphQL passthrough · OAuth · MCP resources & prompts · saved connections · code sandbox — see All commands .

pip install mcptoon && mcptoon quickstart — 565KB, zero dependencies, zero config.

Stays current on its own: it tells you when a newer version is out, and mcptoon upgrade updates in one command.

🔍 Common Pain Points & Solutions at a Glance (Click to expand)

Your Pain Point / Search Intent Vanilla MCP Behavior mcptoon's Solution Context Window Bloat Adding 10+ tools quickly hits context limits Sends full JSON Schema of every tool every turn (70k+ tokens) Compact Name Index : ~2.2 tokens/tool on idle, schemas fetched on demand (99.2% token saving) Multi-Agent Sync Hell Rewriting mcpServers JSON for Cursor, Claude Code, Windsurf Manual copy-pasting into each client's config file One-Command Takeover : mcptoon sync --takeover automatically discovers and configures 103+ clients Headless CLI Execution Need to call/test MCP tools directly in terminal/scripts Requires spinning up full desktop agents or writing client code Native Standard Library CLI : mcptoon call <server> <tool> with zero dependencies Model Confusion & Hallucination Too many candidate tools dilute model attention Floods model with dozens of complex schemas simultaneously Two-Stage Selection : mcptoon select "<task>" pre-filters to the top 3 tools offline Agent Skills Fragmentation Prompt instructions & skills can't be shared across agents Manually duplicated across folders, drifting out of sync Symlink-based Single-Source Hub : mcptoon skills sync , 39-token pointer, zero duplication

🚀 Quick Start (Choose Your Way)

🤖 Modern Way: Just Talk to Your Agent (Zero Memorization)

When installed, mcptoon automatically injects its own official skill (`/mcptoon`) into your agents. You never need to memorize terminal commands — just ask directly in Cursor, Claude Code, Windsurf, or DSH:

# Ask the built-in skill anytime:

"Load /mcptoon skill and check what MCP tools I currently have." "Help me find an MCP tool that converts HTML to PDF and call it." "The tool output was truncated, retrieve the full original copy." "How many tokens did mcptoon save for me today?" "Doctor self-check: are all my MCP servers connected properly?"

*Your agent loads `/mcptoon` and drives everything behind the scenes!*

⚡ Terminal Way: 30-Second Setup

# 1. Install (zero dependencies, 565KB)

pip install mcptoon

2. One command: detect MCP servers & auto-configure agents

(Also self-installs /mcptoon skill into all detected agents)

mcptoon quickstart

3. View compact tool catalog (-99.2% tokens)

mcptoon manifest

4. Route tasks to skills or doc chapters (<5ms)

mcptoon skills resolve "write git commit message" mcptoon docs resolve "how does release gating work"

Is it actually saving you anything? After a fresh install mcptoon can sit in direct mode — installed but not wired into the agent — and save nothing. See Which mode is cheapest?, or just run mcptoon mode.

⚡ Core Capabilities at a Glance
💥 Save context (why ①)🧩 One config, every agent (why ②)

| • ✅ Compact name index (−99.2%): 255 tools → 581 tokens, full schema fetched on demand • ✅ Lossless result compression: reversible, retrieve the original behind any handle • ✅ Session dedup: byte-identical output in one turn becomes a reference • ✅ Skills the same way: one 39-token pointer + one lookup replaces every SKILL.md • ✅ Docs too: docs feeds 1 chapter, not 19 — 40k → 17k tokens per question • ✅ Honest numbers: real tiktoken accounting via mcptoon bench | • ✅ Native CLI: any shell-capable agent runs mcptoon and gets every feature — no MCP server, no config • ✅ GUI clients too: sync writes the JSON for Claude, Cursor, Cline, Windsurf, VS Code, Claude Code — 6 here, 103+ supported • ✅ Verified list: 42 clients run the CLI directly, 61 mount one mcptoon serve entry • ✅ Skills too: one catalog distributed to every agent's folder (skills sync) • ✅ Import what you have: pull servers from Claude / Cursor / Cline / Windsurf • ✅ One-command setup: quickstart = discover + configure + show tools • ✅ Fine control: toggle on/off, policy sets each tool's output tier, --version-gate / --tombstone for skills |

🔍 Find & call (why ③)🔌 Drive any API, not just MCP

| • ✅ Cross-registry search: plain-language search across 17,000+ MCP servers • ✅ Discover what's already installed: discover scans existing client configs — nothing to reinstall • ✅ Call anything: call headless, or call --auto to auto-find the server • ✅ On-demand schema: inspect only when a tool is actually used • ✅ Pick for a task: select " " returns just the top few • ✅ Export anywhere: manifest --format openai\|openapi\|mcp | • ✅ OpenAPI / Swagger: any REST API as commands (openapi list\|call) • ✅ GraphQL: any endpoint as commands (graphql list\|call) • ✅ OAuth built in: PKCE login, client-credentials, Dynamic Client Registration • ✅ MCP resources & prompts: resources, prompts, complete • ✅ Saved connections: bake — secrets by reference only (env: / file:) • ✅ Code sandbox: exec — only stdout enters context |

🛡️ Safe, small, private📚 Docs & doctor

| • ✅ Zero dependencies: pure standard library, pyproject.toml clean • ✅ 565KB, installs in 2s • ✅ 100% local & private: no cloud, no teleme

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

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