Agent Seo Engine

io.github.davidmosiahPublished by GitHub account davidmosiahv0.1.1Updated Oct 27, 2026

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

VerifiedSTDIODesktop onlyDeveloper Tools Data & Analytics

Server details

Identifier: io.github.davidmosiah/agent-seo-engine
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Sep 16, 2026

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Overview

AI-generated overview

Local-first SEO engine that lets an assistant classify search intent, score markdown drafts for SEO gaps and prioritize search opportunities.

What you can do: Classify search intent as informational, navigational, transactional or commercial investigation
Score markdown articles for SEO gaps and return exact failed checks and recommendations
Prioritize Google Search Console-style opportunities by impressions, position, CTR gap, conversions and commercial value
Audit image alt-attribute coverage in HTML pages
Report install guidance, local readiness and privacy boundaries before content tools run
When to use it: Use it when an assistant is about to rewrite, refresh or publish content and you want deterministic, repeatable SEO checks rather than guesses. It suits content and SEO workflows where drafts and search performance figures are reviewed locally.
Requirements: Runs as a local Python package installed with pipx (agent-seo-engine, with the mcp extra for the MCP server) and started via the agent-seo-mcp command over stdio. No API keys are required; it runs locally by default.

Before you install

The server reads local draft files and HTML pages you point it at, and its privacy audit is meant to clarify draft, analytics and credential boundaries before use. Opportunity scoring depends on figures you supply, such as impressions, clicks and position, so results are only as good as that input. The README asks for repository stars and lists contact channels; treat those as promotional, not required setup.

Installation

In SourceWeft

Open Agent Seo Engine in the dashboard and add it to a workspace.
Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Agent SEO Engine

[Agent SEO Engine]

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

[PyPI version] [Python versions] [License MIT] [Built for MCP]

[GitHub stars] [CI status] [Part of the Delx agent stack] [Category]

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

With MCP support:

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

bash

agent-seo-engine manifest --client codexagent-seo-engine doctoragent-seo-engine privacy-auditagent-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 0.8agent-seo-engine image-alt --file page.html

agent-seo-engine manifest --client codexagent-seo-engine doctoragent-seo-engine privacy-auditagent-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 0.8agent-seo-engine image-alt --file page.html

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

MCP

Hermes-style config:

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

text

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.

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

📧 Contact & Support

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

Source: README.md at commit cb5865e

Tools

SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

v0.1.1LatestSep 16, 2026

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