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
Ralph Wiggum Loop
Overview
Description from the maker (original English)
Autonomous iterative AI development MCP server with spec-driven worker/reviewer SHIP/REVISE loops.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
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).
- You fill in yourself:
RALPH_STATE_BASE,RALPH_RECIPE_DIR
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Fill in the empty values before running it.
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.
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.
Values you fill in
RALPH_STATE_BASEenvDirectory path where active Ralph Loop state and iteration history are storedRALPH_RECIPE_DIRenvDirectory path containing workflow recipe JSON files
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 sheldonrobinson, 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 32599 servers in this category
- Published to the registry more recently than 72% of the other 32599 servers in this category
- Basic checks equal to or better than 100% of the other 32599 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 Ralph Wiggum Loop 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 (1.1.0) reached the registry 15 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Zendesk
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
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 2 days ago
Install
Zendesk
by pipeworx-io
Zendesk MCP Pack — tickets, users, organizations via OAuth.
Computer or cloudUpdated 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.
ralph-wiggum-loop
Multi-model iterative development agent plugin — Ralph Loop with cross-model worker/reviewer architecture, spec-driven development skills, Stop hooks, and SHIP/REVISE decision engine.
Overview
The Ralph Loop implements a two-phase iterative workflow where a worker model does the work and a reviewer model provides cross-model review, iterating until the reviewer says "SHIP".
This project is a cross-platform Agent Plugin (plugin.json, mcp.json, .agents/skills/ralph-wiggum-loop/ & skills/ralph-wiggum-loop/) with native implementations for:
- Linux / macOS (Bash):
bin/ralph-wiggum-loop.sh(usingbin/mcp-sdk.sh) - Windows (PowerShell):
bin/ralph-wiggum-loop.ps1(usingbin/mcp-sdk.psm1) - Polyglot Runner:
bin/script-runner.sh/bin/script-runner.ps1(runs in both POSIXsh/bashand PowerShell)
Install Skill (.agents/skills/)
Per the Agent Skills Specification, install the skill to .agents/skills/:
# Project-level (.agents/skills/ralph-wiggum-loop) or User-level (~/.agents/skills/ralph-wiggum-loop)mkdir -p .agents/skills cp -R skills/ralph-wiggum-loop .agents/skills/ralph-wiggum-loop
```powershellNew-Item -ItemType Directory -Path .agents/skills -Force | Out-Null Copy-Item -Recurse -Force skills/ralph-wiggum-loop .agents/skills/ralph-wiggum-loop
[](https://mcprush.com/to/ralph-wiggum-loop-mcp?ref=badge)OS-Specific MCP Servers (mcp.json)
| MCP Server Name | OS / Runtime | Transport | Command / Endpoint |
|---|---|---|---|
ralph-wiggum-loop | Linux / macOS (Bash) | stdio | ./bin/script-runner.sh ralph-wiggum-loop --stdio |
ralph-wiggum-loop-pwsh | Windows (PowerShell 7+) | stdio | pwsh -NoProfile -ExecutionPolicy Bypass -File ${PLUGIN_ROOT}/bin/script-runner.ps1 ralph-wiggum-loop --stdio |
ralph-wiggum-loop-powershell | Windows (PowerShell 5.1) | stdio | powershell.exe -NoProfile -ExecutionPolicy Bypass -File ${PLUGIN_ROOT}/bin/script-runner.ps1 ralph-wiggum-loop --stdio |
ralph-wiggum-loop-http | Cross-Platform | streamable-http | http://127.0.0.1:8080/mcp |
Quick Start
1. CLI Mode
- Linux / macOS (Bash):
./bin/ralph-wiggum-loop.sh "Implement user authentication with JWT tokens" --profile pro- Windows (PowerShell):
pwsh -NoProfile -ExecutionPolicy Bypass -File .\bin\ralph-wiggum-loop.ps1 "Implement user authentication with JWT tokens" --profile pro2. MCP Server (stdio Mode)
- Linux / macOS (Bash):
./bin/ralph-wiggum-loop.sh --stdio- Windows (PowerShell):
pwsh -NoProfile -ExecutionPolicy Bypass -File .\bin\ralph-wiggum-loop.ps1 --stdio3. MCP Server (streamable-http Service Mode)
- Linux / macOS (Bash):
./bin/script-runner.sh start-http-server start --host 127.0.0.1 --port 8080- Windows (PowerShell):
pwsh -NoProfile -ExecutionPolicy Bypass -File .\bin\script-runner.ps1 start-http-server start --host 127.0.0.1 --port 8080Documentation
- Skill & Agent Instructions — OS selection rules, loop execution modes, and Streamable HTTP setup
- Full Documentation — API reference, tools, state management
- Deployment Guide — Install and configure
Repository
- Source: https://github.com/sheldonrobinson/ralph-wiggum-loop
- Agent Plugin Spec: https://agent-plugins.org
- MCP Spec: https://modelcontextprotocol.io
License
MIT