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Myopic

作者:SurajKGoyal版本 0.1.11i★ –i在你的电脑上运行
注册名称io.github.SurajKGoyal/myopic

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "myopic": {
      "command": "uvx",
      "args": [
        "myopic"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add myopic -- uvx myopic

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "myopic": {
      "command": "uvx",
      "args": [
        "myopic"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "myopic": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "myopic"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 SurajKGoyal 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4926 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4926 个服务器的 40% 更新
  • 基础检查结果等于或优于此分类中其他 4926 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Myopic 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.11)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

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

作者:github广泛使用★ 3.4万5天前更新

电脑或云端

Desktop Commander

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

作者:wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare正在增长★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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