Agent SEO Engine

Name: Agent SEO Engine
Author: davidmosiah

by davidmosiahversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.davidmosiah/agent-seo-engine

Install

Overview

Description from the maker (original English)

Agent-first local SEO quality, intent and opportunity engine with CLI and optional MCP server.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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 on your computer
Transport: stdio
Category: Marketing & social media

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-seo-engine": {
      "command": "uvx",
      "args": [
        "agent-seo-engine"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-seo-engine -- uvx agent-seo-engine

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "agent-seo-engine": {
      "command": "uvx",
      "args": [
        "agent-seo-engine"
      ]
    }
  }
}

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": {
    "agent-seo-engine": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "agent-seo-engine"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account davidmosiah, 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

More stars than 0% of the other 2972 servers in this category
Published to the registry more recently than 15% of the other 2972 servers in this category
Basic checks equal to or better than 100% of the other 2972 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 Agent SEO Engine 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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

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Runs in the cloud★ 137MITUpdated 10 days ago

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.

Agent SEO Engine

Local-first SEO scoring, search-intent and opportunity engine for AI agents. Deterministic checks before agents rewrite, refresh or publish content.

mcp-name: io.github.davidmosiah/agent-seo-engine

⭐ If this agent-first tool helps your workflow, please star the repo. Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.

🧱 Part of the Delx agent stack — 15 open-source MCP servers across body, reach and coordination.

Agent-first SEO scoring, search-intent detection and opportunity prioritization. It packages the useful parts of a production content pipeline into a clean local CLI plus an optional MCP server for Codex, Claude, Cursor, Hermes, OpenClaw and other agent runtimes.

Use it when an agent needs deterministic SEO checks before rewriting, refreshing or publishing content.

What It Does

Classifies search intent: informational, navigational, transactional and commercial investigation
Scores markdown articles for agent-readable SEO gaps
Prioritizes GSC-style opportunities by impressions, position, CTR gap, conversions and commercial value
Exposes manifest, connection_status and privacy_audit surfaces before content tools
Runs locally by default with no required API keys

Install

pipx install agent-seo-engine

With MCP support:

pipx install "agent-seo-engine[mcp]"

Published on PyPI: agent-seo-engine. Release automation uses PyPI Trusted Publishing, so GitHub Actions can publish future versions without long-lived PyPI tokens. See docs/pypi-publishing.md.

CLI

agent-seo-engine manifest --client codex

agent-seo-engine doctor agent-seo-engine privacy-audit agent-seo-engine intent "best ai agent framework" agent-seo-engine score --file examples/article.md --primary-keyword "ai agent testing" agent-seo-engine opportunity --impressions 4200 --clicks 80 --position 12.4 --commercial-intent 0.8 agent-seo-engine image-alt --file page.html

All commands return structured JSON by default. Use --format markdown for human review.

MCP

agent-seo-mcp

Hermes-style config:

mcp_servers:

agent_seo: command: agent-seo-mcp args: [] sampling: enabled: false

Recommended first calls:

agent_seo_connection_status
agent_seo_privacy_audit
agent_seo_score_content

Agent Surfaces

Tool	Purpose
`agent_seo_manifest`	Install/runtime guidance for agent clients
`agent_seo_connection_status`	Local/offline readiness and optional integration status
`agent_seo_privacy_audit`	Draft, analytics and credential boundaries
`agent_seo_detect_intent`	Search intent classification
`agent_seo_score_content`	Markdown quality checks with exact recommendations
`agent_seo_prioritize_opportunity`	GSC-style opportunity scoring
`agent_seo_check_image_alt`	Image `alt`-attribute coverage audit for HTML

Copy-Paste Agent Prompt

Use agent-seo-engine. First call agent_seo_connection_status and agent_seo_privacy_audit.

Score the draft, then propose only edits tied to failed checks or high-impact opportunities.

Agent Contract

Agents should not guess whether a draft is ready. They should call the scoring tool, read exact failed checks, then propose focused edits. The engine is intentionally deterministic and local so repeated agent runs can compare output over time.

Development

python3 -m venv .venv

. .venv/bin/activate pip install -e ".[dev]" pytest python -m compileall -q src

📧 Contact & Support

📨 support@delx.ai — general questions, integration help, partnerships
🐛 Bug reports / feature requests — GitHub Issues
🐦 Updates — @delx369 on X
🌐 Site — wellness.delx.ai

Agent SEO Engine

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

What It Does

Install

CLI

MCP

Agent Surfaces

Copy-Paste Agent Prompt

Agent Contract

Development

📧 Contact & Support