REA
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
MCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"mcptoon": {
"command": "uvx",
"args": [
"mcptoon"
]
}
}
}Use mcptoon and tell me what you can do for me, then show me one thing✓ If Claude says it is using mcptoon or shows a mcptoon tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect mcptoon yet
mcptoon runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect mcptoon
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user mcptoon -- uvx mcptoonYou should see mcptoon listed as connected
Use mcptoon and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using mcptoon or shows a mcptoon tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use mcptoon and tell me what you can do for me, then show me one thing✓ If Cursor says it is using mcptoon or shows a mcptoon tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use mcptoon and tell me what you can do for me, then show me one thing✓ If VS Code says it is using mcptoon or shows a mcptoon tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user mcptoon -- uvx mcptoonClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"mcptoon": {
"command": "uvx",
"args": [
"mcptoon"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"mcptoon": {
"command": "uvx",
"args": [
"mcptoon"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"mcptoon": {
"type": "stdio",
"command": "uvx",
"args": [
"mcptoon"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: mcptoonBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14, 2026
The registry name was verified with the GitHub account activeing123, which owns the repo
Code last changed yesterday
Uses Apache-2.0
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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 yesterday, and the latest version (0.8.40) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: REA, GitHub, Serena MCP: the IDE for your agent
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
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
🤖 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
/mcptoon skill into all detected agents)mcptoon quickstart
mcptoon manifest
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.
| 💥 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