Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Pins an acceptance spec; the verify command and expected output never enter the success contract.
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.
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You need
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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-cliPaste 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.
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.
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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 7, 2026
The registry name was verified with the GitHub account Q00, 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 (0.51.5) reached the registry 3 months ago.
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: Spec Driven Development, Remote Desktop Commander, SuperCollider
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Make sound with SuperCollider: synths, drums, chords, melodies and soundscapes over OSC.
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.
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:
| Layer | Repo | Role | What it gives you |
|---|---|---|---|
| Shell (terminal client) | Ouro-labs/ourocode | Native terminal UI for running ooo workflows across Claude / Codex / Gemini CLIs in one session | TUI, wonderTool decision pickers, MCP pane state, command discovery |
| Apps (domain workflows) | Ouro-labs/ouroboros-plugins | UserLevel 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/ouroboros | Agent OS core — Seed, Ledger, Runtime, MCP, safety boundaries | ooo 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
ouroboros) owns the contract: every action becomes a Seed-bound, ledger-recorded, replayable event — regardless of which LLM executes it.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.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