Moltline Code Review

com.moltlinestudio由 moltlinestudio.com 發布官方發布者v1.2.0更新於 Oct 24, 2026

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

發布方自己的服務:Moltline Business Suite

已驗證Streamable HTTP可網頁執行開發者工具安全與監控

概覽

AI 產生的概覽

Moltline Code Review 是託管的 MCP 伺服器,讓助理對程式碼差異做風險掃描、辨識 AI 生成程式碼的痕跡、找出金鑰並回報程式碼複雜度。

可以做什麼
  • 對統一 diff 做風險掃描,標出注入點、被停用的 TLS、除錯輸出、TODO 與外洩的金鑰,並附上行號與嚴重程度
  • 辨識原始碼檔案中 AI 生成程式碼的痕跡,例如重述下一行的註解、殘留的助理開場白與佔位 TODO
  • 依函式回報原始碼檔案的長度、巢狀深度與分支數量
  • 掃描文字中誤提交的憑證與私鑰素材,且不會回傳比對到的值
  • 依語言或技術堆疊產生拉取請求審查清單
  • 對檔案執行以 OWASP 為導向的安全檢查,並載入資深審查者人設(兩者皆為付費)
適用情境
適合在審查拉取請求或貼上的程式碼時,先快速篩出風險行、金鑰或過於複雜的函式,再交給人工審查。免費工具不需帳號,方便試用;安全深入檢查與審查者人設需要授權。
執行需求
遠端 Streamable HTTP 端點,支援此傳輸方式的用戶端無需安裝。僅支援 stdio 的用戶端可使用獨立的 Python 3.9+ 橋接腳本或 Docker 容器,需要能連線至託管服務。免費工具不需帳號或憑證。付費工具需要 Moltline 授權,透過 MOLTLINE_LICENSE 環境變數提供,並以 X-Moltline-License 標頭送出。
安裝前請注意
送出的程式碼、差異與文字會傳到第三方託管服務,請勿貼上無法分享的專有或受監管程式碼。金鑰掃描採樣式比對,可能漏檢。付費工具需購買授權;授權值以 X-Moltline-License 標頭送出,應放在環境變數而非命令列參數中。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Moltline Code Review,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.moltlinestudio%2Fcodereview/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "moltline-code-review": {
      "type": "http",
      "url": "https://mcp.moltlinestudio.com/codereview"
    }
  }
}

README

moltline-mcp

A thin, dependency-free stdio bridge to Moltline Studio's fleet of 22 hosted MCP servers.

Most modern MCP clients can connect to the fleet directly over Streamable HTTP, no install needed (see Direct connection below). This bridge exists for clients that only speak the stdio transport: it proxies newline-delimited JSON-RPC between your client and the hosted server, verbatim, with no telemetry and no dependencies beyond the Python 3.9+ standard library.

  • 160 tools across 22 servers; 110 are free.
  • Free tier: no registration, no account, no credentials. Connect and call tools immediately.
  • Premium tools are unlocked with a Moltline license. Set MOLTLINE_LICENSE in your MCP client's environment; the bridge sends it as the X-Moltline-License header and never writes it to argv, URLs or logs. See auth.md.
  • Independently checked by MCPize on the direct endpoints (scans of 5–6 September 2026: 6 A+, 15 A, 1 B+; scores 89–98). All 22 servers score 100 on clarity, 100 on reliability and 100 on trust, 95 on protocol and 87 on safety; the one finding raised on every server is that the free tier accepts anonymous access (which is the point of it), and the spread between servers sits in MCPize's "Market" dimension (a crowded category). Each server's MCPize listing links its own public result.

Find it on: Smithery · MCPize · Glama · Clawmart · MCP Registry

The fleet

ServerToolsWhat it does
catalog10Search 138 agent skills and personas by plain-language job; preview any product.
codereview7Risk-scan a diff, flag AI-generated-code tells, find secrets, report complexity.
govern8Audit an MCP config or SKILL.md for over-broad scope and prompt-injection risk.
timeops5Business days, meeting overlap, recurrence expansion, deadline and SLA math.
data7Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth, cohorts.
humanizer5Find AI-isms with evidence, fingerprint a writing voice, measure burstiness.
business830 finance, bookkeeping, legal-ops and SMB operations persona-skill products.
creator820 blogging, brand-voice, copywriting, video and social persona-skill products.
educator78 curriculum, classroom, accommodations and exam-prep persona-skill products.
outbound87 outreach, sequencing, deliverability, call-coaching and CRM-hygiene products.
personal920 inbox, calendar, travel, meals and family-logistics persona-skill products.
research87 research navigation, thesis, note-taking and citation persona-skill products.
skillmd-lint6Lint a SKILL.md for frontmatter, structure, secrets and size. All tools free.
merchant6Commerce arithmetic: processor fees, charge-to-net, invoice totals, proration.
shipping6Dimensional weight, parcel fit, landed cost, freight class, rate cards.
shopify6Check a product CSV, URL handles, variant matrices and metafield keys.
dropship6Dropshipping unit economics: margin, lead time, SKU mapping, price ladders.
recall6A portable knowledge-graph memory you pass in and get back. No database.
vision6Image header probing, bbox conversion, resize plans, color and detection math.
regclock9Incident-reporting deadlines from the legal text (EU CRA, NIS2, DORA, GDPR, UK GDPR, HIPAA, SEC 8-K), cited.
taxlots8Crypto cost basis: parse exchange CSVs, lint, match transfers, FIFO/LIFO/HIFO lots, Form 8949 rows, 1099-DA diff.
optimize11OR-Tools routing, 3-D packing, 1-D/2-D cutting, knapsack and shift rostering with stated limits.

Machine-readable discovery: api-catalog · per-server card at https://mcp.moltlinestudio.com/<server>/.well-known/mcp/server-card.json · fleet health.

Direct connection (preferred)

If your MCP client supports Streamable HTTP (Claude Desktop, Claude Code, Cursor, and most current clients do), point it straight at the hosted endpoint (nothing to install):

json
{  "mcpServers": {    "moltline-timeops": {      "type": "http",      "url": "https://mcp.moltlinestudio.com/timeops"    }  }}

Swap timeops for any slug in the table above.

The stdio bridge (for stdio-only clients)

Install

Run directly (recommended): the bridge is a single stdlib-only file, so a clone is all you need:

bash
git clone https://github.com/GarphenGate/moltline-mcp.gitpython3 moltline-mcp/moltline_mcp.py timeops   # any of the 22 slugs; default: catalog

Docker: see Docker below if you prefer a container.

A PyPI package is planned; until then, use the methods above.

Client configuration

Point your MCP client at the script with an absolute path:

json
{  "mcpServers": {    "moltline-timeops": {      "command": "python3",      "args": ["/absolute/path/to/moltline-mcp/moltline_mcp.py", "timeops"]    }  }}

Or run it through Docker (after docker build -t moltline-mcp .):

json
{  "mcpServers": {    "moltline-timeops": {      "command": "docker",      "args": ["run", "-i", "--rm", "moltline-mcp", "timeops"]    }  }}

CLI

text
python3 moltline_mcp.py [server] [--timeout SECONDS] [--list] [--version]
  • server: one of the 22 slugs (default catalog); anything else fails fast with the valid list.
  • --timeout: per-request timeout in seconds (default 300, or env MOLTLINE_TIMEOUT).
  • --list: print the server slugs and exit.
  • Env MOLTLINE_BASE_URL: override the fleet base URL (for testing).
  • Env MOLTLINE_LICENSE: your Moltline license, sent as the X-Moltline-License header to unlock premium tools. Omit it and the bridge runs free-tier only.
  • Env MOLTLINE_DEBUG=1: diagnostic logging on stderr (stdout stays protocol-clean). The license is never logged; debug output reports only whether one is configured.

Docker

The bridge also runs containerized (stdio in, network egress to the fleet required):

bash
docker build -t moltline-mcp .docker run -i --rm moltline-mcp timeops   # any of the 22 slugs; default: catalog

See Client configuration for the matching mcpServers entry.

How it works

One process per server connection. Each JSON-RPC message read from stdin is POSTed to https://mcp.moltlinestudio.com/<server>; JSON and SSE-framed responses are relayed back to stdout as newline-delimited JSON. The bridge tracks the server-assigned Mcp-Session-Id and echoes the negotiated MCP-Protocol-Version, per the Streamable HTTP transport spec. It never inspects, stores, or reports your traffic.

Tests

The bridge ships with an offline test suite - no network, no dependencies:

bash
python -m unittest -v

Twenty-two tests cover the parts that actually break in a transport bridge: newline-delimited framing, SSE event splitting (multiple events, multi-line data: payloads, a trailing event with no blank line, comments and named events), session-id capture and reuse, protocol-version negotiation on initialize only, and error relay - a JSON-RPC error document is passed through verbatim, anything else becomes a well-formed -32603. CI runs them on Python 3.9, 3.12 and 3.13, plus a Docker build and container smoke test.

Access and licensing

  • Free tier: anonymous. No registration or credentials; all free tools work immediately.
  • Premium: unlocked with a Moltline license purchased (human-in-the-loop) at moltlinestudio.com. Set MOLTLINE_LICENSE in the environment and the bridge forwards it as the X-Moltline-License request header. It is deliberately not a command-line flag: argv is world-readable through ps. It is never placed in a URL and never logged. Details: auth.md.

Links

License

MIT © 2026 Moltline Studio

來源:README.md,提交 bbf91e4

工具

7

review_diff

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+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.

輸入參數diff必填

ai_code_smell_scan

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 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.

輸入參數code必填

complexity_report

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/&&/||/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.

輸入參數code必填language

secret_scan

Secret Scan

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 {"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.

輸入參數text必填

review_checklist

Review Checklist

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, 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.

輸入參數language

security_deep_dive

Security Deep Dive

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": "<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.

輸入參數code必填

get_reviewer_persona

Get Reviewer Persona

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": ["...", ...], "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.

無需輸入參數。

版本歷史

1
  1. v1.2.0最新Sep 16, 2026

評分

已滿足適用檢查項的 100%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分

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