Ralph Wiggum Loop

Autonomous iterative AI development MCP server with spec-driven worker/reviewer SHIP/REVISE loops.

What does this entry provide?

Ralph Wiggum Loop is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 56/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Ralph Wiggum Loop to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 56/100
Install method: manual
Repo: sheldonrobinson/ralph-wiggum-loop
Repo updated: Oct 23, 2026

Install command

See source docs

Install method: manual

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Oct 23, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-23T02:15:25.599332Z",
      "publishedAt": "2026-10-23T02:15:25.599332Z",
      "statusChangedAt": "2026-10-23T02:15:25.599332Z"
    }
  },
  "server": {
    "name": "io.github.sheldonrobinson/ralph-wiggum-loop",
    "title": "Ralph Wiggum Loop",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.1.0",
    "packages": [
      {
        "version": "1.1.0",
        "transport": {
          "type": "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"
          }
        ]
      },
      {
        "version": "1.1.0",
        "transport": {
          "type": "stdio"
        },
        "fileSha256": "c244a278bea001a0a7f9f74e51a2a3274eb8835f2747574f8a357fe0d0615640",
        "identifier": "https://github.com/sheldonrobinson/ralph-wiggum-loop/releases/download/v1.1.0/ralph-wiggum-loop.pwsh.mcpb",
        "runtimeHint": "pwsh",
        "registryType": "mcpb",
        "packageArguments": [
          {
            "name": "-Stdio",
            "type": "named",
            "description": "Run the PowerShell 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"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/sheldonrobinson/ralph-wiggum-loop",
      "source": "github"
    },
    "websiteUrl": "https://sheldonrobinson.github.io/ralph-wiggum-loop",
    "description": "Autonomous iterative AI development MCP server with spec-driven worker/reviewer SHIP/REVISE loops."
  }
}

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