Ralph Wiggum Loop MCP
An autonomous iterative AI development MCP server implementing a two-phase SHIP/REVISE workflow. It uses a worker model to implement tasks and an independent reviewer model for cross-model verification, iterating until the reviewer issues a SHIP command. It supports multiple transports including stdio and streamable-http, and includes 11 MCP tools for workflow control.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
What you can do with it
- Implement tasks using a spec-driven worker model
- Review code with an independent cross-model reviewer
- Iterate on work until reviewer issues SHIP command
- Manage iterative development workflows via MCP tools
Source and maintenance
- Last repository push
- Latest release
- v1.1.0
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
https://github.com/sheldonrobinson/ralph-wiggum-loop/releases/download/v1.1.0/ralph-wiggum-loop.sh.mcpb 1.1.0
{
"version": "1.1.0",
"transport": "stdio",
"fileSha256": "911e13cf69ec21d9dd0b2fdce2cb3b013828bbdc1a03b013ff48ec2b06758a7f",
"identifier": "https://github.com/sheldonrobinson/ralph-wiggum-loop/releases/download/v1.1.0/ralph-wiggum-loop.sh.mcpb",
"runtimeHint": "sh",
"registryType": "mcpb",
"packageArguments": [
{
"name": "--stdio",
"type": "named",
"description": "Run the POSIX sh MCP server over standard input/output (stdio)"
}
],
"environmentVariables": [
{
"name": "RALPH_STATE_BASE",
"description": "Directory path where active Ralph Loop state and iteration history are stored"
},
{
"name": "RALPH_RECIPE_DIR",
"description": "Directory path containing workflow recipe JSON files"
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · repository · passed · metadata changed · updated
- · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown
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