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Comparison

context7 vs io.github.pyalwin/codemesh

context7 is a plugin bundle for AI coding tools published by Upstash. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-official). io.github.pyalwin/codemesh is an MCP server published by pyalwin. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-12. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
Marketplacecontext7io.github.pyalwin/codemesh
Claude Code: claude-plugins-official Listed
Version: not stated
Forks (GitHub): 4 247
Stars (GitHub): 37 724
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.1.2
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

context7 vs io.github.pyalwin/codemesh
Factcontext7io.github.pyalwin/codemesh
Marketplaces that list it11
Stars (GitHub) (differs)37 724 (better)0 (worse)
Forks (GitHub) (differs)4 247 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)Remote server (mcp.context7.com/mcp)On your machine (@pyalwin/codemesh)
Transport (differs)Streamable HTTPstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published1, secrets among them: 0
Parts of the bundle (differs)1Not a bundle
LicenceNot statedNot stated
Repository (differs)github.com/anthropics/claude-plugins-officialgithub.com/pyalwin/codemesh
Changes in the last 7 days00
First seen2026-10-112026-10-11
Endpoint at the last check (differs)not checked yetno remote endpoint we check

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

context7

In its own words, on Claude Code: claude-plugins-official:

Upstash Context7 MCP server for up-to-date documentation lookup. Connects to Context7's hosted remote MCP server (https://mcp.context7.com/mcp) — no local Node.js or npx required — to pull version-specific documentation and code examples directly from source repositories into your LLM context. Works anonymously out of the box; set CONTEXT7_API_KEY for higher rate limits.

io.github.pyalwin/codemesh

In its own words, on Official MCP Registry:

Intelligent code knowledge graph for AI coding agents — 71% cheaper, 72% faster

How to run each

context7 As a Claude Code plugin

Claude Code
/plugin install context7@claude-plugins-official

io.github.pyalwin/codemesh As a local MCP server: npm package

Claude Code
claude mcp add --transport stdio codemesh -- npx -y @pyalwin/codemesh

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

The marketplaces of context7 publish no settings it asks for, so we do not compare settings.

What it can do: context7 · What it can do: io.github.pyalwin/codemesh · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-official/blob/HEAD/.claude-plugin/marketplace.json. 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.

Where the data comes from: how the catalog is built