GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Tells coding agents which npm dependencies changed after their training cutoff, and what changed.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
STALEMAP_MODELYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"stalemap": {
"command": "npx",
"args": [
"-y",
"stalemap",
"mcp"
],
"env": {
"STALEMAP_MODEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add stalemap --env STALEMAP_MODEL=your-value -- npx -y stalemap mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"stalemap": {
"command": "npx",
"args": [
"-y",
"stalemap",
"mcp"
],
"env": {
"STALEMAP_MODEL": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"stalemap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"stalemap",
"mcp"
],
"env": {
"STALEMAP_MODEL": "your-value"
}
}
}
}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.
STALEMAP_MODEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 8, 2026
The registry name was verified with the GitHub account Umair, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 18 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
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Install · Example · How it works · Results · Changelog
Coding agents learn libraries from training data that stops at a cutoff date. When your project pins newer versions, the agent writes code for the old API: maxSteps against AI SDK 7, required_error against zod 4, middleware.ts against Next 16.
stalemap finds the dependencies that changed after your model's training cutoff and tells the agent what changed, in three ways:
AGENTS.md or CLAUDE.md, so the agent reads it before it starts.It works for JavaScript and TypeScript projects, with Claude Code, Cursor, Codex, OpenCode or any MCP client.
In a blind, pre-registered benchmark of 66 tasks built from changes released after June 2026, claude-sonnet-5-5 agents passed 89% of sessions with stalemap, against 68% with no help and 73% with a plain tsc --noEmit hook after each edit. See Results.
stalemap 0.4.1: the build tested in held-out v4 (0.4.0), plus a one-line footer in the notes block. npx stalemap, the Claude Code plugin and the GitHub Action all run it. See the changelog./plugin marketplace add Umair/stalemap
/plugin install stalemap@stalemap
The plugin adds:
/clear and after compaction; it writes no files);/stalemap:sync writes the notes block; upgrade tells Claude to look up a package's changes before using or upgrading it).The hooks and the MCP server run npx -y stalemap@latest, so they use the latest npm release. Its MCP tools are search_changes, package_changes, project_changes and check_notes.
npx stalemap # preview what changed and the block it would write
npx stalemap sync # write the block into AGENTS.md or CLAUDE.md npx stalemap check # for CI: exit 1 when the block is missing or stale npx stalemap guard src/**/*.ts # run the guard by hand
The block sits between and . Text outside it is never touched. Claude Code reads CLAUDE.md; if your notes live in AGENTS.md, add @AGENTS.md to CLAUDE.md or pass --target CLAUDE.md.
setup --agentstalemap setup --agent cursor # or codex, opencode, claude
stalemap setup --agent codex --dry-run # print the changes, write nothing
One command per agent writes the notes, registers the MCP server and installs the guard as the agent's post-edit hook, as project files you can commit. It merges into existing config files, keeps entries it didn't write, and re-running it changes nothing.
One caveat: it hasn't been tried in a real Cursor, Codex or OpenCode install yet. Cursor doesn't pass a postToolUse hook's context to the model yet, so setup adds a stop-hook fallback that sends unreported findings as a follow-up message.
{ "mcpServers": { "stalemap": { "command": "npx", "args": ["-y", "stalemap@latest", "mcp"] } } }
- uses: Umair/stalemap@main
with: model: claude-opus-5-5 # fail CI when the notes are missing or stale
Comment mode needs permissions: pull-requests: write. It lists each changed dependency (what the model knows → what's pinned) with its notes, and updates the comment on later pushes.
For a Next.js + AI SDK app and claude-sonnet-4-5 (cutoff 2025-07-31), excerpt:
**ai** 4.3.16 → 7.0.142 (major)
CoreMessage was removed; use ModelMessage. [types]convertToCoreMessages was removed; use convertToModelMessages. [types]streamText() options no longer accept maxTokens, maxSteps, toolCallStreaming, … [types]next 15.4.0 → 16.4.2 (major)
revalidateTag() now requires profile (in next/cache) [types]NextMiddleware is deprecated: Use NextProxy instead. Middleware has been renamed to Proxy. (in next/server) [types]
Full output: examples/next-ai-app.claude-sonnet-4-5.md.
--model, or the model configured for Claude Code, Codex, OpenCode or Gemini CLI, or $ANTHROPIC_MODEL. The training cutoff comes from models.dev (with a built-in fallback table), or pass --cutoff YYYY-MM-DD.--margin).tsconfig.json, next.config.*, the Prisma schema, Vitest and ESLint configs, and others). --all checks every direct dependency. Pinned versions come from node_modules or the lockfile (npm, pnpm, yarn, bun)..d.ts files are downloaded and compared with the TypeScript compiler API: removed, renamed and moved exports, new required parameters, removed or newly required options, and new @deprecated tags with their hints.--guides): for changes that never reach a type signature, like a new default or a renamed file convention. Claude turns each guide into short notes, and a note is kept only if it quotes the guide.--examples): a Before → After line under the top notes, written by Claude and kept only if it compiles against the version you pin.--budget).The guard runs after each edit. It runs the project's own tsc and reports what it finds, in this order:
experimental.ppr in Next 16);HttpStatusCode.PayloadTooLarge → ContentTooLarge in axios 1.20);middleware.ts → proxy.ts);tsconfig.json options the project's TypeScript rejects.So a plain type-check hook is a subset of the guard. STALEMAP_GUARD_TSC=0 limits the guard to dependency changes. Deprecations are reported only with STALEMAP_GUARD_DEPRECATIONS=1.
`search_changes` (also stalemap search ) searches everything stalemap found for the project's dependencies: every type change, every release-note item, cached upgrade-guide notes and, for a new major, the guides' text. Ranking is BM25 over words and split identifiers (resolveAlias matches "resolve alias"), weighted toward what the project uses. The first search builds an index from the analysis caches; later ones are offline and fast.
`stalemap probe` measures which notes a model actually needs: it asks the model to write code for each change, type-checks the answers against the pinned version, and runs again with the notes. Notes the model already gets right are dropped from the block. Probe tasks name the old API, so they measure whether the model knows a change when pointed at it, which is easier than noticing it unprompted.
Run stalemap --help for every command and option, including --llm (summaries written by Claude) and the precomputed reports for about 200 fast-moving packages (not hosted yet).
GITHUB_TOKEN or your gh login is used when available) and models.dev.--llm, --examples or --guides: type diffs, release-note excerpts, guide text and the names of APIs you import go to Claude (the Anthropic API or claude -p). Your code isn't included.probe: the probe prompts go to the provider you choose.$STALEMAP_PRECOMPUTED_URL set: package names, not versions, go to that host.Caches live in ~/.cache/stalemap ($STALEMAP_CACHE moves them).
Every result comes from headless Claude Code sessions graded by hidden tests the agent never sees. Each task is run in two modes: one-shot (file tools only) and checks (the agent can also run npm test and tsc). Intervals come from a two-level bootstrap (tasks, then runs). A difference counts as a win only when its interval excludes zero.
Held-out v4 (protocol, [results for `claude
Only the beginning is shown; read the rest in the repo