GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Cited 'why was this decided?' answers for your repo and for React, Kubernetes, and Rust.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"lema": {
"command": "npx",
"args": [
"-y",
"lema-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add lema -- npx -y lema-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"lema": {
"command": "npx",
"args": [
"-y",
"lema-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"lema": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"lema-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto lemahq bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.22.2) kam vor 3 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Your coding agent can read the code. It can't read the _argument_ behind it. lema-mcp gives your agent the recorded *why* — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.
A local MCP server. No account, no database, no network for your own repo — install it in 30 seconds and ask why a project decided something, or whether the approach you're about to take was already rejected.
[n] links to the RFC / PR where the call was made.lema holds reasoning — why a decision was made, what was rejected — not API
syntax or code samples. For those, reach for a docs tool. lema is the right place
for *why*.
npx lema-mcp try react # or: kubernetes · rust
That writes a read-only public server to your project's .mcp.json. Reload your agent's MCP servers (in Claude Code: /mcp) and try the flagship tool, `check_approach` — name a direction, get the recorded verdict:
> "Let's add a delayMs prop to Suspense to debounce the fallback." (repo: react)
⛔ ruled_out — the React team considered and rejected this. " " [1] Where to look instead → https://react.dev/reference/react [1] reactjs/rfcs#212
"I'll add a global event bus for cross-component communication." (repo: react)
◦ no_recorded_ruling — React's public record doesn't settle this. (Unknown — not approved.)
Or just ask in plain language — *"why did React adopt Hooks over mixins?"* — and get one cited answer, with an honest abstain when the record is silent.
Covered today: React · Kubernetes · Rust, served from lema's public API (api.lema.sh). Tokenless. It's a curated three-project demo corpus — not analytics over a graph you own.
No-account public demo (React's recorded decisions, zero setup):
If the Cursor button doesn't open an install prompt (common when the browser can't hand off the cursor:// deeplink), paste this into .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"], "env": { "LEMA_MCP_MODE": "public", "LEMA_PUBLIC_REPO": "react-rfcs" } } } }
That drops you into React's public record — ask *"why did React rule out X?"* and get a cited answer, no account. To wire your own repo for capture, or point the demo at Kubernetes or Rust, use the per-client setup below.
npx needs only Node — no Go toolchain, no account. Two commands cover both ways to use lema:
npx lema-mcp try react # read-only: ask React/Kubernetes/Rust why + what's ruled out
npx lema-mcp init # your repo: decision capture + the never-reopen guard
Both are non-destructive and idempotent — they merge into existing config and re-running changes nothing. init and try share the same lema server key; the authed init server is a superset (it serves the public tools too), so the two coexist and try never downgrades it.
Claude Code
Easiest — let lema write the config and hooks for you:
npx lema-mcp init # or: npx lema-mcp try react
Or add it by hand to .mcp.json (this gets the read + capture tools, but not the guard/nudge hooks that init installs):
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"] } } }
</details>
Cursor
Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"] } } }
For the no-account public demo instead, add the env block:
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"], "env": { "LEMA_MCP_MODE": "public", "LEMA_PUBLIC_REPO": "react-rfcs" } } } }
</details>
Claude Desktop
Settings → Developer → Edit Config, then add to mcpServers:
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"], "env": { "LEMA_MCP_MODE": "public", "LEMA_PUBLIC_REPO": "react-rfcs" } } } }
</details>
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"] } } }
</details>
VS Code (GitHub Copilot)
Add to .vscode/mcp.json — note VS Code uses the servers key:
{
"servers": { "lema": { "command": "npx", "args": ["-y", "lema-mcp@latest"] } } }
</details>
Go install / pinned binary
go install github.com/lemahq/lema-mcp/cmd/lema-mcp@latest
For the public demo, set LEMA_MCP_MODE=public and LEMA_PUBLIC_REPO=react-rfcs (k8s-enhancements · rust-rfcs). The public API URL is baked into the binary.
The public config sets only LEMA_MCP_MODE + LEMA_PUBLIC_REPO (react-rfcs · k8s-enhancements · rust-rfcs) — the API URL is compiled in.
After you sign in to Lema, save one Organization-scoped credential outside your repositories. The normal setup contains identity credentials, not a copied workspace UUID:
# ~/.config/lema/credentials
LEMA_API_URL=https://api.lema.sh LEMA_API_TOKEN=lema_live_...
chmod 600 ~/.config/lema/credentials
npx lema-mcp@latest doctor context
Restart the coding agent after changing MCP configuration. From then on, Lema matches the checkout's verified Git remote to a Repository, finds its Project, and passes one immutable target receipt to every operation. Opening two repositories in parallel does not create a mutable “active repository,” and each user keeps their own Organization-scoped credential.
For multi-repo Projects, ambiguity recovery, repositories without a remote, worktrees, and compatibility overrides, read Target context: Projects, repositories, and Runs.
Ask why a popular project decided something, or check whether a direction was already rejected, over its recorded RFC/KEP deliberation. This is the try server.
Most "context" tools are read-only — a nicer way to grep your docs. lema reads too, but its real job is never-reopen:
init) reads the draft change and surfaces a CLOSED decision *before* the dead option gets re-proposed — enforced off both your captured decisions and the repo's own ADRs.Decisions are captured to .lema/decisions.jsonl — a plain append-only file you commit, so your whole team's agents share the same memory through git. No key, no LLM call on our side: your agent forms the decision; lema stores it and serves it back.
Your agent reaches for an option you already killed — and it comes back CLOSED, with the original reason attached:
⛔ CLOSED — do not propose "SWR": no first-class mutation / cache
invalidation — we'd hand-roll it *(decided 2026-06-04 · "Data fetching for the
web app" · chose TanStack Query)*
So the agent surfaces the prior decision instead of re-litigating it. Supersede a decision and the *previously chosen* option goes CLOSED too — enforced both ways. (That's the real output of npx lema-mcp demo, run against a throwaway temp dir.)
The guard is advisory and fail-open: in its default context mode it injects that note as a non-blocking nudge — it never hard-blocks and never auto-approves an edit. LEMA_GUARD_MODE=ask prompts *you* on a strong match; off is a kill switch. Any error → it emits nothing and gets out of the way.
Your agent calls these over MCP.
| Tool | What it does |
|---|---|
| `check_approach` ★ | Name an approach → a three-valued verdict: ruled_out (rejected, with the recorded why synthesized and cited), settled (it *is* the project's in-force recorded choice, the governing decision cited), or an honest no_recorded_ruling. Every verdict carries a pointer to where the docs cover the how. The one public door — it folds in the cited "why was this decided?" answer (the former why_decided) and the settled check. |
| Tool | What it does |
|---|---|
| `record_decision` | Capture a settled decision: the chosen option and the rejected alternatives (with why each was killed), plus rationale / refs / supersedes. Rejected and superseded options come back CLOSED. Append-only. |
| `check_decided` | Adjudicate one proposed direction against decisions already CLOSED → typed verdict (ruled_out / not_ruled_out / incomplete / error), off both your capture store and the repo's ADRs. |
| `search_decisions` | Natural-language query → the most relevant atomic claims (chosen / rejected / constraint / consequence) with their source ADR, under a token budget. |
| `get_decision` · `list_decisions` · `get_decision_graph` | One decision's full body; th
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