myopic 0.0.3

The code-review MCP that reviews your merge request against the whole codebase, not just the diff

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.

⚠️ Alpha / 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. Follow along, open issues, pitch in. Don't wire it into a critical workflow just yet.

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Why

Most AI code review looks at the diff in isolation. But the bugs that matter live in what the diff 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 MCP server that feeds your AI client (Claude, Cursor, …) the structured context to review like someone who actually knows the codebase:

• 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.

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Tools

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) — always fits, any MR size
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

Optional semantic layer (myopic[semantic]) — 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.

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Install

myopic is a server your AI client launches and keeps running, so install it once into a dedicated venv and point the client at a fixed path — nothing re-resolves on every launch:

python3 -m venv ~/.venvs/myopic
~/.venvs/myopic/bin/pip install myopic          # add "[semantic]" for the optional layer

The console script is now at ~/.venvs/myopic/bin/myopic. That's the command your client runs (see Add to your AI client).

Prefer uvx?

If your uv install is healthy you can skip the venv and run uvx myopic directly. It re-resolves the package on each launch and depends on uv's tool directory being writable — if you hit failed to create directory .../uv/tools: Permission denied, use the venv install above instead.

Setup

myopic needs a GitLab URL and a personal access token with api (or read_api) scope. The interactive wizard walks you through it:

~/.venvs/myopic/bin/myopic init   # prompts for URL + token, verifies, saves both
~/.venvs/myopic/bin/myopic test   # ✓ Authenticated to https://gitlab.com as <you>

The token is saved to ~/.config/myopic/.env (chmod 600) and referenced from the TOML as ${GITLAB_TOKEN} — it never lives in the config file. Rotate it any time with myopic set-secret. Prefer to hand-edit? myopic init --template.

Reviewing GitHub PRs? myopic reviews GitHub pull requests too — just give it a PR URL. It needs a GitHub token (a PAT with pull-request read access). Set it via GITHUB_TOKEN in your environment / the .env, or add a [github] section to config.toml (see myopic init --template). For GitHub Enterprise, set [github].url to your instance host. Public github.com needs no URL.

Add to your AI client

Claude Code (~/.claude/mcp.json or project .mcp.json), Cursor, Claude Desktop, and other MCP clients all point at the installed binary — an absolute path, so the client never depends on your shell PATH:

{
  "mcpServers": {
    "myopic": {
      "command": "/home/you/.venvs/myopic/bin/myopic"
    }
  }
}

Use your real home directory (~ isn't expanded inside JSON). On a healthy uvx setup you can instead use "command": "uvx", "args": ["myopic"].

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.

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Optional: semantic search (myopic[semantic])

For "is this consistent with the rest of the codebase?" — duplication, convention drift, similar patterns — enable the semantic layer. It's opt-in so the base install stays lean (no torch, no heavyweight vector DB):

~/.venvs/myopic/bin/pip install "myopic[semantic]"   # adds lancedb + httpx only
ollama pull unclemusclez/jina-embeddings-v2-base-code   # a small, code-specialized model

It embeds your code locally via Ollama and stores it in an embedded LanceDB index with native hybrid (vector + full-text) search. Then the AI can index_repo a checked-out repo and mr_review_context will enrich each changed symbol with semantically similar code. Without the extra, mr_review_context still works — it just returns the structural (graph) signal.

Override the model/endpoint with MYOPIC_EMBED_MODEL / MYOPIC_OLLAMA_URL.

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Configuration reference

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

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 optional 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]"          # + ".[semantic]" to work on the semantic layer
pytest                           # hermetic — no network, Ollama, or lancedb needed

License

MIT © Suraj Goyal

mcp-name: io.github.SurajKGoyal/myopic