GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Code-review MCP: review a GitLab MR or GitHub PR against the whole codebase, not just the diff.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add myopic -- uvx myopic프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"myopic": {
"command": "uvx",
"args": [
"myopic"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"myopic": {
"type": "stdio",
"command": "uvx",
"args": [
"myopic"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 SurajKGoyal 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.11)은 2개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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