Deterministic CLI and MCP server that audits web pages for AI search readiness by analyzing how well content can be fetched, extracted, understood, and cited by generative engines. It runs locally without external AI API calls and exposes an MCP tool named `audit_url` for use in chat clients.
From the registry: Audit web pages for AI search readiness (ChatGPT, Claude, Perplexity, Gemini).

Please install the `aiseo-audit` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js 20 or later** — Node.js 20+ is required to run the MCP server via npx. (https://nodejs.org/'}],)
- **Install Node.js 20 or later** — Node.js 20+ is required to run the MCP server via npx. (https://nodejs.org/'}],)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","aiseo-audit-mcp"]
Note: The README's MCP examples for Cursor and Claude Desktop both use the same stdio command: npx -y aiseo-audit-mcp. The server runs from the published package and does not require any environment variables or API keys.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.