原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

DispatchSEO

作者:NeoZi12版本 1.1.0i★ –i在云端运行
注册名称io.github.NeoZi12/dispatchseo

安装

概览

作者提供的说明(英文原文)

Open-source SEO manager for coding agents: keyword research, content PRs, rank + Search Console.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://dispatchseo.com/api/mcp

在终端中运行这条命令

claude mcp add --transport http dispatchseo https://dispatchseo.com/api/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "dispatchseo": {
      "url": "https://dispatchseo.com/api/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "dispatchseo": {
      "type": "http",
      "url": "https://dispatchseo.com/api/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://dispatchseo.com/api/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 NeoZi12 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7249 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7249 个服务器的 29% 更新
  • 基础检查结果等于或优于此分类中其他 7249 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

DispatchSEO 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.0)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

DispatchSEO

Turn your AI agent into your SEO manager

DispatchSEO : an open-source alternative to SEObot and Outrank.

Works today with Claude Code , Codex , and Cursor - all first-class, including the unattended overnight builder.

Other SEO tools learn about your product by crawling your homepage. Your agent already knows it, so DispatchSEO gives that agent the missing half: keyword research, content that ships as pull requests, and rank tracking.

Website · Discord · Discussions · Hosted version

Self-hosted has zero feature limitations. Everything the paid cloud does, this repo does today, in your own accounts, at $0.

⚡ How it works

  1. Your AI researches. The Claude app at claude.ai, or a coding agent (Claude Code, Codex, Cursor), connects to DispatchSEO over MCP, reads the served playbook, and mines keywords from your Search Console data, Google Autocomplete, and what it already knows about your product. Ideas land in a queue with the reasoning attached.
  2. You approve, or don't. Each idea is a card on the dashboard: the keyword, why it's winnable, the angle. Approve, reject, or reorder. Prefer full autopilot? Flip on auto mode and skip the queue entirely.
  3. The pipeline builds. Every morning a scheduled job picks the oldest approved idea and builds it into a real pull request against your site's repo: a guide or a small free tool, checked against the live SERP and run through a sameness reviewer so page twelve doesn't read like page three.
  4. It tracks what happened. Daily rank checks, hourly Search Console snapshots, index verification, and a journey view that tells you which SEO stage you're actually in. When a scheduled job breaks, you get a red banner and an email instead of silence.

The backend is deliberately boring: state, scheduling, and an approval gate. The thinking happens in your agent, where your product knowledge already lives.

🤖 Which coding agent

DispatchSEO talks to your agent over MCP, so "which agent" is a real question with a real answer — including the parts that aren't finished yet.

AgentConnect + every toolUnattended overnight builder
Claude Code✅✅
Codex✅✅
Cursor✅ one-paste connect, all 61 tools✅ via its API key (any plan mints one)
Gemini CLI · Copilot · any MCP client✅❌

Connecting is one paste and gets you the whole tool set: research, the queue, approvals, backlinks, reports, and building a guide when you ask for one. The overnight builder is the separate thing — scheduled jobs that run an agent with nobody watching — and all three do that. Every workflow carries every agent and asks the dashboard which to run, so switching agent takes effect on the next scheduled run with no repo change.

The honest difference is who pays: Claude Code runs on a subscription you already have, Cursor runs on your Cursor plan's API key, and Codex is metered by OpenAI per run.

You can also skip coding agents entirely. Add DispatchSEO to the ordinary Claude app at claude.ai as a custom connector and your Claude does the research and the writing on the subscription you already have, then hands the article back for the backend to check, finish and publish. It won't build interactive tools or run the overnight builder, and claude.ai has to be able to reach your install, so that path wants a public URL rather than a laptop. ChatGPT can't connect yet.

docs/AGENTS.md has the details, the support tiers, and how to add an agent.

✅ What you need before you start

  • Somewhere to publish. Either WordPress you host yourself, connected once from Settings with an application password and posted to directly, or your site's source in a GitHub repo, where content arrives as pull requests. Wix, Squarespace, Shopify, Webflow and Ghost have neither door and won't work.
  • An AI to drive it. Your AI is the engine, and it can be the ordinary Claude app at claude.ai or a coding agent. Claude Code runs on the Claude subscription you already pay for; Codex and Cursor do everything Claude Code does here, including the overnight builder. Codex is metered by OpenAI per run, and Cursor builds draw on your Cursor plan's included usage. See the table above.
  • A machine with Docker (~1 GB RAM). A laptop works for a test drive, but a machine that stays on is much better for daily use - a $5 VPS, a Raspberry Pi, a desktop that never sleeps. Schedules only run while the machine is awake.
  • Google Search Console access to your site.

That's the whole list. No API keys to buy, and no account on our side.

📖 Documentation

Everything is at [dispatchseo.com/docs](https://dispatchseo.com/docs) - every page, every setting, every tool.

Pointing an agent at this? Add .md to any docs URL for clean markdown, or fetch the entire documentation set in one request: [llms-full.txt](https://dispatchseo.com/llms-full.txt). There's an index at llms.txt and a SKILL.md that walks an agent through connecting a site.

Stuck during setup? The troubleshooting page covers the errors people actually hit. If yours isn't there, ask in the Discord or in Discussions - questions get answered and usually turn into a docs fix.

🗓️ Using it day to day

Once the wizard is done, the loop is small on purpose:

WhenYou doIt does
Once a week, 5 minutesOpen the dashboard, work through the queue - approve, reject, reorderRefills the queue with researched ideas and the reasoning behind each one
Every morningNothingBuilds the oldest approved idea into a pull request on your repo
When a PR landsReview and merge (or let auto-merge do it)Logs the page, requests indexing, starts tracking its keyword
Whenever you wantAsk your agent: *"research keywords for me"*, *"what should I write next?"*, *"how are we ranking?"*Answers from live data over MCP - same state the dashboard shows

The dashboard's Home page always names the next action, so you don't have to work out what to do when you open it.

🧰 What's in the box

  • MCP server with the full tool set: the queue, keywords, rankings, pages, GSC stats, backlink prospects, trend topics, site profile. Anything the dashboard can do, your agent can do over MCP; parity between the two is a hard rule in this codebase.
  • Trend radar: scan for rising topics in your niche, expand a topic into concrete guide angles, and queue the good ones.
  • Guide and tool builders: guides publish at most one per day, flat and permanent (so a queue of thirty approved ideas doesn't become thirty posts in a week); free-tool ideas build on app

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx