vdalhambra/siteaudit-mcp
by Various
Instant SEO, performance, and security audits for any URL — an MCP server for AI agents
MCP
vdalhambra/siteaudit-mcp
Added 1 June 2026
Overview
An MCP server for AI agents that performs SEO, performance, and security audits for any URL. It is written in Python and enables automated site assessments through the Model Context Protocol.
Best for
Best for
AI agent developers needing quick, combined site audits without managing multiple APIs
Use cases
- Automating SEO audits for client websites via AI agents
- Checking site performance metrics during development workflows
- Assessing security vulnerabilities in web pages programmatically
How to use
Install
npx -y @smithery/cli install @vdalhambra/siteaudit --client claude Tools exposed
full_auditseo_auditsecurity_auditperformance_auditcompare_siteslighthouse_auditcheck_linkscheck_robots_txt
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf
Example client config
{\n "mcpServers": {\n "siteaudit": {\n "url": "https://siteaudit-mcp.mcpize.run/mcp"\n }\n }\n} Notes
An MCP server for AI agents that performs SEO, performance, and security audits for any URL. It is written in Python and enables automated site assessments through the Model Context Protocol.
3 stars on GitHub. Last updated 2026-04-17. Licensed MIT.
Use cases
- Automating SEO audits for client websites via AI agents
- Checking site performance metrics during development workflows
- Assessing security vulnerabilities in web pages programmatically
Pros
- Provides instant, multi-aspect audits (SEO, performance, security) in a single tool
- Integrates with AI agents through the MCP protocol for automated pipelines
- Lightweight Python implementation easy to set up as a server
Cons
- Small community and limited GitHub stars (3), indicating low adoption
- Audit depth may be basic compared to dedicated standalone tools
- Requires an MCP-compatible AI agent to function, adding dependency
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides instant, multi-aspect audits (SEO, performance, security) in a single tool
- Integrates with AI agents through the MCP protocol for automated pipelines
- Lightweight Python implementation easy to set up as a server
Cons
- Small community and limited GitHub stars (3), indicating low adoption
- Audit depth may be basic compared to dedicated standalone tools
- Requires an MCP-compatible AI agent to function, adding dependency
Pairs with
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