Moltline Code Review

Risk-scan a diff, flag AI-generated-code tells, find secrets.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Review Diff: 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
  • Ai Code Smell Scan: 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
  • Complexity Report: 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/&&

What data it sees

Do you need an account

No: the server works without sign-in

Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.

Part of Moltline Studio: 22 hosted MCP servers, 160 tools, 110 of them free — no account, no API key, no signup. Independently audited — MCPize Verified A.

Direct endpoint: https://mcp.moltlinestudio.com/codereview

How to connect

How to connect Moltline Code Review to Claude

The server address to paste into Claude settings:

https://moltline-codereview--techdpr.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Moltline Code Review to ChatGPT

The server address to paste into ChatGPT settings:

https://moltline-codereview--techdpr.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Moltline Code Review to Cursor

The server address to paste into Cursor settings:

https://moltline-codereview--techdpr.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

review_diffRisk-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": "<git diff output>"} returns {"added_lines": N, "risk_score": 0-100, "verdict": "...", "secrets": [...], "findings": [{"line": N, "severity": 1-4, "issue": "...", "code": "..."}], "note": "..."}. Use on a unified diff, when only the change matters. Not for whole-file analysis (complexity_report, ai_code_smell_scan). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
ai_code_smell_scanFlag 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 contents>"} returns {"reviewed_confidence": 0-100, "hits": [{"smell": "...", "evidence": "<quoted snippet>"}], "reading": "...", "note": "..."}. Use on a full source file suspected of unreviewed machine authorship. Not on a diff (review_diff), and the result is a signal to check, not proof of authorship. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
complexity_reportReport 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 contents>"} returns {"functions": N, "detail": [{"name": ..., "start": N, "lines": N, "branches": N, "max_depth": N}], "flags": ["..."], "note": "..."}. Use when structure rather than correctness is the question. Not for vulnerabilities (security_deep_dive). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
secret_scanScan 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 {"text": "<file, diff, or config contents>"} returns {"leaked": bool, "count": N, "findings": [{"line": N, "type": "<category>"}], "note": "..."}. Pattern matching only - a clean result is not proof, and every hit needs human confirmation before anyone acts on it. Not a general security review (security_deep_dive). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
review_checklistProduce 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, to decide what to look for. Not for reviewing actual code - pass code to review_diff or security_deep_dive. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
security_deep_diveRun 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": "<file contents>"} returns {"issues": N, "findings": [{"line": N, "class": "A03 Injection", "fix": "...", "code": "..."}], "owasp_note": "..."}. Use on one source file when vulnerabilities are the question. Not for style or structure (complexity_report), and never a substitute for a security professional on high-risk code. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
get_reviewer_personaLoad 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": ["...", ...], "opening_move": "..."} ready to adopt as a system prompt. Use to keep repeated reviews consistent in voice and rigor. Not for running a review - the scan tools do that. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.