Moltline Code Review

com.moltlinestudio由 moltlinestudio.com 发布官方发布者v1.2.0更新于 Oct 24, 2026

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

发布方自己的服务:Moltline Business Suite

已验证Streamable HTTP可网页运行开发者工具安全与监控

概览

AI 生成的概览

Moltline Code Review 是一个托管 MCP 服务器,让助手对代码差异做风险扫描、识别 AI 生成代码痕迹、查找密钥并报告代码复杂度。

可以做什么
  • 对统一 diff 做风险扫描,标出注入点、被禁用的 TLS、调试打印、TODO 和泄露的密钥,并给出行号与严重级别
  • 识别源文件中 AI 生成代码的痕迹,如复述下一行的注释、残留的助手开场白和占位 TODO
  • 按函数报告源文件的长度、嵌套深度和分支数量
  • 扫描文本中误提交的凭据和私钥材料,且不回显匹配到的值
  • 按语言或技术栈生成拉取请求审查清单
  • 对文件执行面向 OWASP 的安全检查,并加载资深审查者人设(两者均为付费)
适用场景
适合在审查拉取请求或粘贴的代码时,先快速筛查风险行、密钥或过于复杂的函数,再交由人工审查。免费工具无需账号,便于试用;安全深入检查与审查者人设需要许可证。
运行要求
远程 Streamable HTTP 端点,支持该传输的客户端无需安装。仅支持 stdio 的客户端可使用单独的 Python 3.9+ 桥接脚本或 Docker 容器,需要能访问托管服务。免费工具无需账号或凭据。付费工具需要 Moltline 许可证,通过 MOLTLINE_LICENSE 环境变量提供,并以 X-Moltline-License 请求头发送。
安装前请注意
提交的代码、差异和文本会发送到第三方托管服务,请勿粘贴无法共享的专有或受监管代码。密钥扫描基于模式匹配,可能漏检。付费工具需购买许可证;许可证值以 X-Moltline-License 请求头发送,应保存在环境变量中而非命令行参数里。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Moltline Code Review,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.moltlinestudio%2Fcodereview/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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

来源: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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

输入参数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.

无需输入参数。

版本历史

1
  1. v1.2.0最新Sep 16, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

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