Audit Your Website's Readiness
for AI Agent Access via MCP

MCP stands for Model Context Protocol — a standard that allows AI tools to programmatically access and retrieve content from websites. As AI agents become more capable of browsing and synthesising web content, having MCP-accessible content is increasingly important for AI citation eligibility. Sites that are not MCP-configured may have content retrieved inefficiently or not at all by AI agents using the MCP protocol — impacting citation rates as the protocol gains adoption.

The six most common issues in order of frequency are: missing llms.txt file (present on fewer than 27% of websites), AI crawlers not explicitly allowed in robots.txt (43% of sites have outdated directives that block at least one major AI crawler), missing or misconfigured CORS headers (61% of sites), restrictive authentication barriers affecting AI agent access to public content, missing Content-Type headers, and incomplete schema markup on key pages.

MCP readiness is primarily relevant to AI tool access rather than traditional Google search crawling. However, several configuration elements overlap: robots.txt configuration affects both Googlebot and AI crawlers, schema markup improves both Google Rich Results eligibility and AI agent content extraction quality, and page accessibility barriers affect all automated access. Fixing MCP readiness issues often has a positive secondary effect on traditional search crawlability.

CORS configuration controls which origins can make requests to your server. To allow AI agent access, add the relevant AI crawler origins to your CORS allowlist. In Nginx, this is done via the add_header Access-Control-Allow-Origin directive. In Apache, via mod_headers. In WordPress, typically done via a plugin or adding headers in the .htaccess file. The WebMCP Readiness Checker provides specific configuration code for your detected server type for each issue found.

robots.txt fixes take effect within 1 to 2 days as AI crawlers re-crawl your site. llms.txt implementation is typically picked up within 1 to 2 weeks. CORS header fixes take effect immediately. Schema additions take 2 to 4 weeks to be processed by AI engines. Full citation rate impact from MCP readiness improvements is typically visible within 4 to 8 weeks of implementing all identified fixes.

Yes. Fully available on the free plan with 15 runs per month. Each run provides the complete MCP readiness score, all configuration issues identified, AI agent access simulation results, robots.txt and llms.txt audit, and the priority-ranked fix list with server-specific configuration code.

Standard technical SEO focuses on Googlebot crawlability, page speed, structured data, and Core Web Vitals — signals that affect Google rankings. MCP readiness focuses on whether AI tools can programmatically access, parse, and extract your content via the Model Context Protocol — signals that affect AI tool accessibility and citation eligibility. There is significant overlap (schema markup, robots.txt configuration, page accessibility), but MCP readiness adds AI-specific elements like llms.txt presence, CORS headers for API access, and Content-Type header configuration.

The simulation tests access by GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity), Googlebot (for AI Overview), Bingbot (for Copilot), and the generic AI crawler user agent pattern that emerging AI tools typically use. Each crawler is tested against your robots.txt directives, your CORS header configuration, your content accessibility, and your response headers. The report shows what each specific crawler can and cannot access on your site.

Add explicit allow directives for AI crawler user agents to your robots.txt file. The minimum addition is: User-agent: GPTBot / Allow: / for OpenAI, User-agent: ClaudeBot / Allow: / for Anthropic, and User-agent: PerplexityBot / Allow: / for Perplexity. If you want to allow AI crawlers to access public content but restrict access to specific private sections, use more targeted allow and disallow directives. The WebMCP Readiness Checker provides the exact robots.txt addition for your specific situation.

MCP readiness affects real-time AI access — whether AI tools can retrieve your current content during a user query. Training data inclusion is a separate process controlled by different mechanisms (pre-training data collection, content opt-out mechanisms like the AI crawlers' training data opt-out in robots.txt). Improving MCP readiness improves how AI tools access your site for inference (answering user queries) — it does not directly control training data inclusion, which is managed through separate opt-out directives.