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io.github.davidmosiah/agent-seo-engine

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

Source code Website Documentation

What can you do with io.github.davidmosiah/agent-seo-engine?

  • 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

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package agent-seo-engine
Claude Code 
claude mcp add agent-seo-engine -- uvx agent-seo-engine==0.1.1
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "agent-seo-engine": {
            "command": "uvx",
            "args": [
                "agent-seo-engine==0.1.1"
            ]
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Agent SEO Engine
  2. What It Does
  3. Install
  4. CLI
  5. MCP
  6. Agent Surfaces
  7. Copy-Paste Agent Prompt
  8. Agent Contract
  9. Development
  10. 📧 Contact & Support

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:

  1. agent_seo_connection_status
  2. agent_seo_privacy_audit
  3. agent_seo_score_content

Agent Surfaces

ToolPurpose
agent_seo_manifestInstall/runtime guidance for agent clients
agent_seo_connection_statusLocal/offline readiness and optional integration status
agent_seo_privacy_auditDraft, analytics and credential boundaries
agent_seo_detect_intentSearch intent classification
agent_seo_score_contentMarkdown quality checks with exact recommendations
agent_seo_prioritize_opportunityGSC-style opportunity scoring
agent_seo_check_image_altImage 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

Frequently asked questions

What is io.github.davidmosiah/agent-seo-engine?

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

How do I install io.github.davidmosiah/agent-seo-engine?

It runs on your machine. In Claude Code: claude mcp add agent-seo-engine -- uvx agent-seo-engine==0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.davidmosiah/agent-seo-engine need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.davidmosiah/agent-seo-engine open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.davidmosiah/agent-seo-engine?

It is published by davidmosiah. AI.tn lists it but does not maintain or endorse it.

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