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

Ouroboros

by Q00version 0.51.5i★ –iRuns on your computer
Registry nameio.github.Q00/ouroboros

Install

Overview

Description from the maker (original English)

Pins an acceptance spec; the verify command and expected output never enter the success contract.

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": {
    "ouroboros": {
      "command": "uvx",
      "args": [
        "ouroboros-ai",
        "mcp",
        "serve",
        "--runtime",
        "claude-cli"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ouroboros -- uvx ouroboros-ai mcp serve --runtime claude-cli

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ouroboros": {
      "command": "uvx",
      "args": [
        "ouroboros-ai",
        "mcp",
        "serve",
        "--runtime",
        "claude-cli"
      ]
    }
  }
}

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": {
    "ouroboros": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ouroboros-ai",
        "mcp",
        "serve",
        "--runtime",
        "claude-cli"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Q00, 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 32655 servers in this category
  • Published to the registry more recently than 23% of the other 32655 servers in this category
  • Basic checks equal to or better than 100% of the other 32655 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 Ouroboros 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 (0.51.5) reached the registry 3 months 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, SuperCollider

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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

Runs in the cloud★ 211Updated 2 days ago
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Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.

Runs on your computerUpdated today
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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.

English | 한국어 | 简体中文

◯ ─────────── ◯

O U R O B O R O S

◯ ─────────── ◯

It gets smarter on its own. We just hold the line.

Skip the prompt engineering. The agent runs, fails, and gets smarter every generation. The grading command and expected result never make it into the success contract we hand it.

The Agent OS for replayable AI coding workflows

Quick Start · Why · Results · How It Works · Commands · Philosophy · Guide

# macOS / Linux / WSL 2

curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | OUROBOROS_INSTALL_REF=readme-hero bash

# Windows (PowerShell) — no Python needed; installs Git and uv for you

irm https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.ps1 | iex

One command installs it. Then run ooo setup once inside your coding agent — details in Quick Start .

Demo videos for each runtime.

Terminal CLI — a task-management CLI: ouroboros init start asking about ordering and scope, then reporting an ambiguity score

ChatGPT (Codex) — called as an integration, on a video-publishing harness: the interview, its advisory lanes, and the ambiguity ledger

Claude Code — a YouTube automation task, with the six advisory lanes running in parallel before the interview submits

Hermes (Discord) — a kart-racing game, run as a chat bot, ending at Final ambiguity: 0.15

DeepSeek Harness — an OSS-trend outreach script, driven from a dsh chat: mcpouroborosouroboros_interview turn by turn, fan-out results submitted between rounds

Kiro — the Kiro CLI running the Ouroboros interview flow, turning a vague request into a structured, testable Seed

Antigravity — a YouTube-publishing automation interview: asks what to automate, shows advisory lanes, and submits the selected answer

Turn a vague idea into a verified, working codebase -- across Claude Code, Codex CLI, OpenCode, Hermes, Gemini, Kiro, Copilot, Pi, OMP, Zcode, Goose, GJC, Antigravity, and Grok.

Ouroboros is an Agent OS for AI coding: a local-first runtime layer that turns non-deterministic agent work into a replayable, observable, policy-bound execution contract. It replaces ad-hoc prompting with a structured specification-first workflow: interview, crystallize, execute, evaluate, evolve.


The Ouroboros Agent OS Stack

Like any OS, Ouroboros is split into a stable OS layer of primitives, an application layer of domain workflows, and a shell that humans actually sit in front of. Three repos, one stack:

LayerRepoRoleWhat it gives you
Shell (terminal client)Ouro-labs/ourocodeNative terminal UI for running ooo workflows across Claude / Codex / Gemini CLIs in one sessionTUI, wonderTool decision pickers, MCP pane state, command discovery
Apps (domain workflows)Ouro-labs/ouroboros-pluginsUserLevel plugin contract — composes core primitives into installable domain programs (PR ops, Jira sync, incidents, releases)Plugin manifest, scoped permissions, audit/provenance, reference plugins
OS (this repo)Q00/ouroborosAgent OS core — Seed, Ledger, Runtime, MCP, safety boundariesooo commands, spec-first workflow engine, multi-runtime adapter

How they connect:

  ourocode  ──►  ooo / ouroboros-plugins  ──►  ouroboros core (Seed · Ledger · MCP · Runtime)

shell user-level apps kernel

  • The kernel (ouroboros) owns the contract: every action becomes a Seed-bound, ledger-recorded, replayable event — regardless of which LLM executes it.
  • Plugins (ouroboros-plugins) declare scoped capabilities against that contract, so domain workflows (review a PR, triage a Linear ticket, run a release) stay auditable and policy-bound instead of being one-off prompts.
  • Ourocode is the terminal shell: it surfaces MCP state, interview questions, and wonderTool decisions as first-class TUI elements, so you can drive the OS without leaving the keyboard or switching between CLIs.

Use ouroboros alone with any supported CLI, layer plugins on for domain workflows, or install ourocode when you want a unified terminal cockpit.

Disclaimer. The Ouroboros project and community are **not affiliated with

any cryptocurrency, token, memecoin, or trading community** — including, but

not limited to, any "ouroboros" tickers on pump.fun or other launchpads. This

is an open-source developer tool. We do not issue, endorse, or hold any

coins. Any token claiming association with this project is unauthorized.

Naming note. A separate, unaffiliated open-source project also uses the

name "Ouroboros" — Anton Razzhigaev's self-modifying, autonomous-memory agent

at github.com/razzant/ouroboros. No shared code, no relationship. This

project locks a specification before executing rath

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

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