MCP server
Moltline Code Review
com.moltlinestudio/codereview
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Working at last checkVerified publisher: moltlinestudio.comAbout 2,241 tokens per request once connected7 tools
https://mcp.moltlinestudio.com/codereview
At a glance
- Type
- MCP server
- Publisher
- moltlinestudio.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 7
- Token cost
- About 2,241 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http codereview https://mcp.moltlinestudio.com/codereview
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.codereview] url = "https://mcp.moltlinestudio.com/codereview"
Gemini CLI
{"mcpServers":{"codereview":{"httpUrl":"https://mcp.moltlinestudio.com/codereview"}}}
Cursor
{"mcpServers":{"codereview":{"url":"https://mcp.moltlinestudio.com/codereview"}}}
VS Code
{"servers":{"codereview":{"type":"http","url":"https://mcp.moltlinestudio.com/codereview"}}}
Antigravity
agy mcp add codereview https://mcp.moltlinestudio.com/codereview
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"codereview","server_url":"https://mcp.moltlinestudio.com/codereview","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"codereview","server_url":"https://mcp.moltlinestudio.com/codereview"}
Tools
ai_code_smell_scan~331 tokens
Flag the tells of unreviewed AI-generated code in a source file. FREE. Detects comments that restate the next line, leaked assistant preambles, placeholder TODOs, shipped 'Example usage' blocks, over-broad try/except that swallows errors, and auto-named identifiers. Typical input {"code": "<file cocomplexity_report~356 tokens
Report structural complexity of a source file, function by function. FREE. Measures per-function length, max nesting depth, and a cyclomatic-style branch count (if/for/while/case/&&/||/except), flagging functions too long or too deeply nested to review confidently. Typical input {"code": "<file conget_reviewer_persona~249 tokens
Load the Senior Reviewer persona for consistent, high-signal reviews. PREMIUM (license). The persona is a reviewing voice that is skeptical, specific, and kind: demands evidence over vibes and blocks only on real risk. Takes no arguments. Returns {"persona": ..., "identity": ..., "rules": ["...", .review_checklist~296 tokens
Produce a focused pull-request review checklist for a language or stack. FREE. Covers the things that actually break in production, with extra items per language. Typical input {"language": "python"} returns {"language": "python", "checklist": ["...", ...], "note": "..."}. Use before a review, toreview_diff~349 tokens
Risk-scan a unified diff the way a senior reviewer triages a PR. FREE. Flags added lines matching known risk patterns (injection sinks, disabled TLS, bare excepts, debug prints, TODOs, N+1 hints, leaked secrets) with the new-file line number and a severity (1 low - 4 high). Typical input {"diff": "secret_scan~326 tokens
Scan text for accidentally-committed machine credentials and private-key material. FREE. Reports each match's location and category so it can be rotated before it leaks. Detection is pattern-based over the common leaked-credential formats; it never echoes the matched value back. Typical input {"texsecurity_deep_dive~334 tokens
Run an OWASP-oriented security pass over a source file. PREMIUM (license). Checks injection sinks, auth/session handling, crypto misuse, SSRF/deserialization, and unsafe file/path handling. Each finding cites the line, the OWASP risk class, and a concrete fix direction. Typical input {"code": "<fil
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