Local-first CLI and MCP server for deterministic SEO scoring, search intent detection, and opportunity prioritization on Markdown content.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Agent Seo Engine.
mcp-name: io.github.davidmosiah/agent-seo-engine
β 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.
π§± Part of the Delx agent stack β 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.
manifest, connection_status and privacy_audit surfaces before content toolsWith 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.
All commands return structured JSON by default. Use --format markdown for human review.
Hermes-style config:
Recommended first calls:
agent_seo_connection_statusagent_seo_privacy_auditagent_seo_score_content| 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 |
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.
Factual signals from GitHub, npm, and our automated checks β not a rating.
No reviews yet β be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/davidmosiah-agent-seo-engine)<a href="https://allmcps.com/mcp/davidmosiah-agent-seo-engine"><img src="https://allmcps.com/api/badge/davidmosiah-agent-seo-engine?style=directory" alt="Agent Seo Engine on AllMCPs" /></a>