GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Code-review MCP: review a GitLab MR or GitHub PR against the whole codebase, not just the diff.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add myopic -- uvx myopicPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"myopic": {
"type": "stdio",
"command": "uvx",
"args": [
"myopic"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub SurajKGoyal, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.11) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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