function-splitter vs patchwork — Codebase Conventions for AI Agents
function-splitter is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
function-splitter is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. patchwork — Codebase Conventions for AI Agents is an MCP server published by SaiNarayana-B. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-20. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace | ||
|---|---|---|
| Community marketplace barnburner121/claude-plugin-marketplace | Removed on 2026-10-18 Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 3 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.1.7 Downloads/month (PyPI): 108 Downloads/week (PyPI): 17 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | function-splitterno longer listed · | patchwork — Codebase Conventions for AI Agents |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 3 | 0 |
| Forks (GitHub) | 0 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (@barnburner121/plugin-hub-mcp) | On your machine (patchwork-conventions) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 2 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/barnburner121/claude-plugin-marketplace | github.com/sainarayana-b/patchwork |
| Changes in the last 7 days (differs) | 4 | 0 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of function-splitter
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Get comprehensive code reviews with suggestions for improvements, best practices, and potential issues.
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Clean code and clean architecture in one skill: readable names, focused functions, correct file placement, one job per unit, the Dependency Rule and SOLID, tests, errors — with…
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Educational Python refactoring assistant that provides guided suggestions for AI assistants.
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Refactor code following best practices and design patterns
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Index Dart, Python, and TypeScript codebases with code-parser to slash LLM token consumption by 70–97%. Extracts classes, methods, and exact line ranges so Claude reads only the…
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Code knowledge graph MCP extension — semantic code search, symbol lookup, and dependency analysis powered by tree-sitter and vector embeddings
What each says it does
function-splitter
Identify overly long functions and suggest splits
patchwork — Codebase Conventions for AI Agents
Scan any codebase, generate CONVENTIONS.md, expose conventions as MCP tools for AI agents.
How to run each
function-splitter
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
patchwork — Codebase Conventions for AI Agents As a local MCP server: PyPI package
claude mcp add --transport stdio patchwork -- uvx patchwork-conventions
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: function-splitter · What it can do: patchwork — Codebase Conventions for AI Agents · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.