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114,411 tools. Last updated 2026-04-21 10:02

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    SEO and marketing intelligence toolkit for keyword research, SERP analysis, backlink checking, content optimization, technical site audits, and content brief generation. 6 tools to improve search engine rankings.
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    MIT
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    Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.
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    MIT

Matching MCP Connectors

  • AI-powered SEO and marketing: keyword research, SERP analysis, and content optimization tools.

  • Deterministic recipe verification engine — validates AI-generated recipes against master SOPs.

  • Generate, validate, and manage sitemap.xml files for documentation sites to improve SEO, enable search engine submission, and track deployment changes.
    MIT
  • Validate HTML structure, accessibility, and SEO compliance for web pages to ensure proper formatting, user accessibility, and search engine optimization standards.
    MIT
  • Extract text content from search engine results pages (SERPs) by query, search engine, country, and page count for SEO analysis and keyword research.
    MIT
  • Retrieve search engine results pages (SERPs) by querying popular engines like Google, Bing, Yahoo, or DuckDuckGo. Specify country, engine, and pages to gather SERP data for SEO analysis or research.
    MIT
  • Analyze MySQL storage engine usage and statistics to identify optimization opportunities. Get table counts, sizes by engine, and specific metrics for InnoDB, MyISAM, and MEMORY engines with actionable recommendations.
    Apache 2.0
  • Audit website performance, accessibility, SEO, and best practices using Lighthouse to identify optimization opportunities and core web vitals.
  • Analyze website performance, accessibility, SEO, and best practices using Google Lighthouse. Get Core Web Vitals scores and prioritized optimization opportunities.
    MIT
  • Search the web for real-time information with customizable parameters for result count, content type, and domain filtering. Gather current news and detailed web content analysis using Tavily's AI search engine.
    MIT
  • Retrieve comprehensive metadata about an Unreal Engine project, including asset counts, engine version, input actions, game modes, characters, and maps.
    MIT
  • Analyze markdown content for SEO quality by scoring it against target keywords to identify optimization opportunities and improve search rankings.
    MIT
  • Analyze SEO data from completed crawls to detect critical issues, content problems, technical SEO issues, security vulnerabilities, and optimization opportunities. Returns structured reports with affected URLs and fix recommendations.
    Apache 2.0
  • Retrieve detailed information about a specific Google Compute Engine instance by providing the project ID, zone, and instance name, enabling precise resource monitoring and management.
  • Search local Godot documentation for classes, methods, properties, signals, and constants using free-text queries or specific filters to find relevant engine information.
  • Analyze webpage SEO performance by auditing on-page elements, content quality, and technical factors to identify optimization opportunities.
    MIT
  • Analyze webpage SEO performance by identifying optimization opportunities for better search visibility and user experience.
    MIT
  • Search the web using Brave Search, a privacy-focused search engine that returns results based on your query, with options to filter by region and safe search settings.
    MIT
  • Analyze keywords a domain ranks for in Google search results to identify SEO opportunities. Provides position, traffic, and difficulty metrics for performance optimization.
    MIT
  • Analyze WordPress site SEO with technical, content, and performance audits to identify optimization opportunities and improve search visibility.
    MIT
  • Analyze web applications for SEO, accessibility, and performance issues to identify optimization opportunities.
    MIT
  • Extract HTML content from search engine results pages (SERPs) for specific queries, search engines, and countries using the FetchSERP MCP Server.
    MIT
  • Search blockchain and DeFi information across specialized knowledge bases using Brian's knowledge engine to find relevant data and insights.
  • Audit webpage SEO by analyzing meta tags, headings, links, and alt text to identify optimization opportunities.
    MIT
  • Analyze page-specific SEO optimization data to identify improvements for organic search performance, including technical metrics and content optimization insights.
    Apache 2.0
  • Analyze SEO performance metrics for domains, URLs, or site sections by specifying date, search scope, protocol, and country. Customize data retrieval to evaluate search visibility and optimization effectiveness.