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Myopic

de SurajKGoyalversión 0.1.11i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.SurajKGoyal/myopic

Instalar

Resumen

Descripción del creador (original en inglés)

Code-review MCP: review a GitLab MR or GitHub PR against the whole codebase, not just the diff.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Herramientas para desarrolladores

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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 myopic

Abrir en Cursor

O copia la configuración tú

Pégalo 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.

Abrir en VS Code

O copia la configuración 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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub SurajKGoyal, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Herramientas para desarrolladoresi

  • Más estrellas que el 0% de los otros 4906 servidores de esta categoría
  • Publicado en el registro más recientemente que el 40% de los otros 4906 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 4906 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Myopic?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.11) llegó al registro hace 2 meses.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP

Alternativas

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

GitHub

de github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

Computadora o nube★ 34.245MITActualizado hace 4 días
Instalar

Desktop Commander

de wonderwhy-er

MCP server for terminal commands, file operations, and process management

Se ejecuta en tu computadora★ 10.225MITActualizado hace 16 días
Instalar

Cloudflare MCP

de cloudflare

Cloudflare MCP servers

Se ejecuta en la nube★ 4446Apache-2.0Actualizado hace 14 meses
Instalar

README del creador

Abrir el README

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.

myopic

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.


Why

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:

  • Read the change precisely — the diff as line-numbered hunks or grouped by function/class, token-safe on any MR size (a 10,000-line diff never overflows the context window).
  • Review it against the whole codebase — who calls the changed code (blast radius), the caller/callee graph, and — optionally — semantically similar code so you catch broken conventions and duplication.

It pairs with amnesic, my MCP server that gives AI persistent memory of SQL databases.


Tools

Everything below works today unless marked planned.

Read the merge request (token-safe by construction):

ToolWhat it does
mr_review_statusMR metadata + every discussion thread + resolved/unresolved, in one call
mr_changed_filesa content-free manifest of changed files (paths, stats, noise flags) — no diff content, so it stays small even on a huge MR
mr_diff_sectionsthe diff grouped by function/class (AST-aware), budget-bounded
mr_diff_linesthe 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):

ToolWhat it does
dependency_impacteverywhere a changed symbol is used — the blast radius (ripgrep + tree-sitter)
trace_call_chainthe caller/callee graph of a symbol
mr_review_contextthe 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:

ToolWhat it does
mr_verify_reviewfor each existing review thread, the diff changes near the commented line — did a follow-up commit address it? (read-only)
mr_post_commentsthe 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.


Install

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.

Setup

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.

Add to your AI client

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).

Configure inline instead of myopic init

Put 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.

Use

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.


Semantic search (built in — needs Ollama)

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:

  1. Ollama running (default localhost:11434, or set MYOPIC_OLLAMA_URL).
  2. The embedding model pulled: 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.


Configuration reference

SourceKeyNotes
config.toml[gitlab].urlGitLab base URL (default https://gitlab.com)
config.toml[gitlab].tokenuse ${GITLAB_TOKEN} — don't hardcode
.env (next to config)GITLAB_TOKENthe actual token value (chmod 600)
env varMYOPIC_GITLAB_URL / GITLAB_URLfallback if no TOML
env varMYOPIC_GITLAB_TOKEN / GITLAB_TOKENfallback if no TOML
env varMYOPIC_CONFIG / MYOPIC_HOMEoverride the config file / directory
env varMYOPIC_EMBED_MODEL / MYOPIC_OLLAMA_URLsemantic layer model + endpoint
env varMYOPIC_AUTO_INDEX0 to disable auto-indexing during review (default on)
env varMYOPIC_AUTO_PULL1 to auto-pull a missing embedding model on first use (default off)

Security

  • One explicit write, everything else read-only. Only 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.
  • Your token stays local. It lives in your .env / environment and is sent only to your configured GitLab instance — never to any third party.
  • Auth errors are scrubbed so your token never leaks into error messages.
  • The semantic layer runs entirely locally (your Ollama, an on-disk index) — your code is never sent to a third party.

Development

pip install -e ".[dev]"

pytest # hermetic — no network, Ollama, or lancedb needed

License

MIT © Suraj Goyal

mcp-name: io.github.SurajKGoyal/myopic

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