近7天有12次提交,开发非常活跃。
Actively maintained with 12 commits in the last 7 days
内容创作者
Developers using Claude Code, Codex, or Cursor
目标用户 · 非用户评价Target user · not a testimonial
SKILLS & AGENTS/Skill 与 Agent·MCP-SERVER
NeoZi12/dispatchseo
用 Claude Code 和 Cursor 的开发者,都在传这个开源 SEO 工具——SEObot 和 Outrank 的开源替代。An open-source alternative to SEObot and Outrank with 12 commits in 7 days — let your AI agent handle SEO.
让AI编程助手自动管理网站SEO的开源工具,替代付费SEO服务。Turn your AI coding agent into an SEO manager with this open-source tool that works with Claude Code, Codex, and Cursor.
怎么装:Install: git clone https://github.com/NeoZi12/dispatchseo
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
历史不足Not enough history
只有 1 个快照,还不足以计算增长Only 1 snapshots so far — not enough to compute growth
讨论DISCUSSION
暂无None
还没有采集到外部讨论No external discussion collected yet
状态STATUS
持续活跃Active
质量 B+Quality B+
近7天有12次提交,开发非常活跃。Actively maintained with 12 commits in the last 7 days
03 / 它能帮你做什么03 / What it helps you do
研究网站关键词,生成内容建议
管理内容想法队列,批准后自动发布
创建SEO指南和互动内容
连接网站仓库并自动更新内容
Research keywords for your website
Queue and approve content ideas
Build SEO guides and internal links
Connect a repo to a DispatchSEO backend
04 / 谁在用04 / WHO IT’S FOR
近7天有12次提交,开发非常活跃。
Actively maintained with 12 commits in the last 7 days
内容创作者
Developers using Claude Code, Codex, or Cursor
目标用户 · 非用户评价Target user · not a testimonial
项目发布不到3个月(2026年7月创建)已获得81个star,社区关注度高。
Open-source alternative to SEObot and Outrank
技术创业者
SEO professionals who work with AI coding agents
目标用户 · 非用户评价Target user · not a testimonial
它是SEObot和Outrank的开源替代,填补了AI agent做SEO管理的空白。
Works with Claude Code, Codex, and Cursor today
自动化爱好者
Content marketers automating SEO tasks
目标用户 · 非用户评价Target user · not a testimonial
近7天有12次提交,开发非常活跃。
Actively maintained with 12 commits in the last 7 days
独立开发者
Anyone self-hosting an SEO pipeline
目标用户 · 非用户评价Target user · not a testimonial
不适合谁Not for同样来自文档,不是我们的判断Also from the docs, not our judgement
05 / 安装05 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ README 里给出的安装方式。The installation method given in the README.
两种装法选一个即可 —— 上面那条给命令行用户,下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
使用 `npm install -g dispatchseo` 全局安装,或克隆仓库后运行 `pnpm install && pnpm dev`。Install globally via npm, or clone the repo and run the setup script with your project key.
06 / 限制与风险06 / Limits and risk
风险不是警告,是可信度的一部分。以下结论只基于文档静态扫描,我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
存在风险Risk found
静态扫描STATIC SCAN
01执行远程脚本Runs a remote scriptSKILL.md
curl -fsSL <backend>/setup.sh | bash -s -- <project-key> <slug> [backend-url]
02执行 Shell 命令Runs shell commandsskills/dispatchseo/SKILL.md
allowed-tools: Bash(dispatchseo:*)
扫描发现一个高风险:安装脚本会从远程地址下载并直接执行(curl -fsSL <backend>/setup.sh | bash),这意味着你完全信任那个后端服务器。另外它允许通过 Bash 执行任意 Shell 命令,用的时候要小心。The setup script runs a remote shell command (curl | bash), which is a high security risk. The tool also allows executing arbitrary shell commands via Bash tools. Review the script before running.
这里只做静态扫描:读 README、SKILL.md 和依赖清单,不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
依赖:Dependencies:@modelcontextprotocol/sdk, @polar-sh/sdk, @sentry/nextjs, @supabase/ssr, @supabase/supabase-js, @tailwindcss/postcss, @vercel/analytics, googleapis, gray-matter, libsodium-wrappers, mcp-handler, next
{
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"evidence": "tree: .claude/"
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{
"agent": "claude-ai",
"evidence": "readme: …searches.** The Claude app at claude.ai, or a coding agent (Claude…"
},
{
"agent": "gemini-cli",
"evidence": "readme: …key (any plan mints one) | | Gemini CLI · Copilot · any MCP client |…"
}
],
"apiKey": "install -g dispatchseo export DISPATCHSEO_TOKEN=<project key> ``` The project key come",
"docker": null,
"taxonomy": {
"scores": {
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"ai-tools": 3,
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"skill-agent": 12,
"productivity": 0
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"skillMdTotal": 2,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
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"productivity": 0
},
"classification": [
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"weight": 0.95
},
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"signal": "server.json (MCP registry manifest)",
"weight": 0.85
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"weight": 0.8
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{
"signal": "README describes a Claude / Agent Skill",
"weight": 0.7
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"weight": 0.7
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"scannedSources": [
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