GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Code-review MCP: review a GitLab MR or GitHub PR against the whole codebase, not just the diff.
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": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add myopic -- uvx myopicIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}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": {
"myopic": {
"type": "stdio",
"command": "uvx",
"args": [
"myopic"
]
}
}
}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 SurajKGoyal 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 (0.1.11) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) 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.
The code-review MCP with the most ironic name in the registry. It's anything but nearsighted — it reviews your merge request against the *whole* codebase, not just the diff in front of it.
Building in public. Reviews **GitLab merge requests and GitHub pull
requests** — pass either URL. Reads the change, reviews it against the whole
codebase, and can post the review back as inline comments. Issues and PRs welcome.
The bugs that matter rarely live in the diff. They live in what it *doesn't* show: the caller three files away that now breaks, the convention every sibling file follows that this one quietly drops, the helper that already exists so this new one is a duplicate. A reviewer that only reads the patch is myopic.
myopic is an open-source MCP server that gives the AI client you already use (Claude, Cursor, …) the structured context to review like someone who knows the codebase. It runs on your machine — your code never leaves it, there's no per-PR bill, and the review happens in your own agent with your own standards:
It pairs with amnesic, my MCP server that gives AI persistent memory of SQL databases.
Everything below works today unless marked planned.
Read the merge request (token-safe by construction):
| Tool | What it does |
|---|---|
mr_review_status | MR metadata + every discussion thread + resolved/unresolved, in one call |
mr_changed_files | a content-free manifest of changed files (paths, stats, noise flags) — no diff content, so it stays small even on a huge MR |
mr_diff_sections | the diff grouped by function/class (AST-aware), budget-bounded |
mr_diff_lines | the diff as line-numbered hunks — exact positions for inline comments — budget-bounded |
On a large MR, the diff tools return a bounded page and list the rest under omitted_files / truncated instead of failing; lockfiles, generated code, and binaries are listed but not expanded. Fetch the rest with files_filter.
Review against the whole codebase (point at a local clone):
| Tool | What it does |
|---|---|
dependency_impact | everywhere a changed symbol is used — the blast radius (ripgrep + tree-sitter) |
trace_call_chain | the caller/callee graph of a symbol |
mr_review_context | the headline — for each changed symbol: its impact (always), plus semantically similar code when the optional layer is enabled |
Semantic layer (built in — needs Ollama) — index_repo, code_search, and the semantic half of mr_review_context. See below.
Close the loop — verify, and (on request) comment:
| Tool | What it does |
|---|---|
mr_verify_review | for each existing review thread, the diff changes near the commented line — did a follow-up commit address it? (read-only) |
mr_post_comments | the one write — post inline comments, one at a time from a queue with exponential backoff (no drafts, no bulk-publish), so partial progress survives and rate limits are respected |
See ROADMAP.md for what's next.
pipx installs myopic isolated and on your PATH:
pipx install myopic
Prefer a plain venv? python3 -m venv ~/.venvs/myopic && ~/.venvs/myopic/bin/pip install myopic, then use that binary where the examples say myopic.
myopic needs a personal access token with api (or read_api) scope. The wizard walks you through it:
myopic init # prompts for URL + token, verifies, saves both
myopic test # ✓ Authenticated to https://gitlab.com as myopic doctor # health-check config + (if enabled) the semantic layer
The token is saved to ~/.config/myopic/.env (chmod 600) and referenced from the TOML as ${GITLAB_TOKEN} — never in the config file itself. Rotate it with myopic set-secret, or hand-edit via myopic init --template.
GitHub PRs: just pass a PR URL. Set a GITHUB_TOKEN (a PAT with pull-request read access) in your environment or a [github] section in config.toml. For GitHub Enterprise, set [github].url to your host.
Claude Code — one command, no config editing:
/plugin marketplace add https://github.com/SurajKGoyal/myopic-marketplace
/plugin install myopic@myopic
Any other MCP client (Cursor, Claude Desktop, …) — point it at the myopic command:
{
"mcpServers": { "myopic": { "command": "myopic" } } }
If your client can't find it on PATH, use the absolute path (pipx installs to ~/.local/bin/myopic).
myopic initPut the token in the env block and skip the config file — myopic reads GITLAB_TOKEN / GITHUB_TOKEN from the environment:
{
"mcpServers": { "myopic": { "command": "myopic", "env": { "GITLAB_TOKEN": "glpat-…", "MYOPIC_AUTO_PULL": "1" } } } }
MYOPIC_AUTO_PULL=1 (optional) pulls a missing embedding model on first use instead of erroring.
Point your AI at a merge request:
"Review this MR: https://gitlab.com/group/project/-/merge_requests/42"
A good flow the client can follow: mr_changed_files to see the shape → mr_diff_sections (large MRs) or mr_diff_lines to read the change → then, with a local clone checked out, dependency_impact / trace_call_chain (or mr_review_context) on the risky changed symbols to review against everything that depends on them.
The graph tools analyze whatever is checked out at root, so check out the MR's branch first — otherwise you're reviewing the target branch, and the MR's new code isn't there. myopic worktree checks out the MR head in a throwaway worktree (your main checkout untouched) and prints the path to use as root. mr_review_context also warns when root doesn't hold the MR's head.
Fork PRs work too: a fork's branch doesn't exist on your remote, so GitHub PR heads are fetched via refs/pull/N/head, which the base repository serves whether the PR came from a branch or a fork.
For "is this consistent with the rest of the codebase?" — duplication, convention drift, similar patterns — the semantic layer covers it. It's bundled in the base install (lancedb + httpx); the only external requirement is a running Ollama.
Embeddings come from a local Ollama server you run — your code never leaves your machine. myopic talks to Ollama over HTTP; it does not bundle or launch it. The one-time prerequisites:
localhost:11434, or set MYOPIC_OLLAMA_URL).ollama pull unclemusclez/jina-embeddings-v2-base-code.myopic doctor checks both and offers to pull the model for you.
Embeddings are stored in an embedded LanceDB index with hybrid (vector + full-text) search, and mr_review_context enriches each changed symbol with semantically similar code. You don't run `index_repo` by hand — it indexes the repo on the first review and refreshes when stale, automatically (disable with MYOPIC_AUTO_INDEX=0; the graph pass needs no index and always runs). index_repo / myopic index remain for explicit/cron use.
Indexing is incremental and freshness-aware. The first index_repo is a full build; after that only files whose content changed are re-embedded, so refreshing is cheap. index_status(root) reports whether the index is fresh, stale (with how many commits behind main), or built on a different model — freshness is measured against the repo's main line, not the current checkout, so reviewing a feature branch never marks the index stale; only main actually moving does. code_search and mr_review_context carry that status so a stale index never silently degrades a review; the AI is told to offer a refresh when it's stale.
The index is per repository, not per checkout — a myopic worktree at an MR's head shares its clone's index, so reviewing a new branch never rebuilds it; only the files that branch changed get re-embedded.
A *separate clone* of the same repo does get its own index, and a repo you delete leaves one behind. Indexing drops such dead copies automatically; to review and reclaim them yourself:
myopic prune # dry-run: what's stale, and how much it's costing
myopic prune --apply # delete them
A second clone you still use keeps its index — only unreachable ones are removed.
myopic is a stdio server (no background process), so there's no built-in scheduler — but myopic index /path/to/repo is the hook for one. Point cron or launchd at it to keep an index fresh out of band:
# refresh hourly (incremental — usually seconds)
0 * * * * myopic index /path/to/repo
Override the model/endpoint with MYOPIC_EMBED_MODEL / MYOPIC_OLLAMA_URL.
| Source | Key | Notes |
|---|---|---|
config.toml | [gitlab].url | GitLab base URL (default https://gitlab.com) |
config.toml | [gitlab].token | use ${GITLAB_TOKEN} — don't hardcode |
.env (next to config) | GITLAB_TOKEN | the actual token value (chmod 600) |
| env var | MYOPIC_GITLAB_URL / GITLAB_URL | fallback if no TOML |
| env var | MYOPIC_GITLAB_TOKEN / GITLAB_TOKEN | fallback if no TOML |
| env var | MYOPIC_CONFIG / MYOPIC_HOME | override the config file / directory |
| env var | MYOPIC_EMBED_MODEL / MYOPIC_OLLAMA_URL | semantic layer model + endpoint |
| env var | MYOPIC_AUTO_INDEX | 0 to disable auto-indexing during review (default on) |
| env var | MYOPIC_AUTO_PULL | 1 to auto-pull a missing embedding model on first use (default off) |
mr_post_comments mutates a review, and only when you ask for it — every other tool just reads MR and repo data. The write is never speculative..env / environment and is sent only to your configured GitLab instance — never to any third party.pip install -e ".[dev]"
pytest # hermetic — no network, Ollama, or lancedb needed
MIT © Suraj Goyal
mcp-name: io.github.SurajKGoyal/myopic