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PopNx MCPMCP servers for people who use AI · explained in plain words

DispatchSEO

by NeoZi12version 1.1.0i★ –iRuns in the cloud
Registry nameio.github.NeoZi12/dispatchseo

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://dispatchseo.com/api/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://dispatchseo.com/api/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account NeoZi12, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7247 servers in this category
  • Published to the registry more recently than 29% of the other 7247 servers in this category
  • Basic checks equal to or better than 100% of the other 7247 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DispatchSEO safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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