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SE Ranking
Unlock SEO insights with an AI-friendly MCP server for SE Ranking. This project exposes SE Ranking data as an MCP server so AI assistants can run natural-language SEO analysis. It provides tools to find lost and declining keywords, compare domains against competitors, discover high-volume competitor keywords, and generate related and similar keyword suggestions. Outputs include synthesized reports that highlight low-hanging opportunities using CPC and keyword difficulty metrics. Useful for automated competitive research, keyword discovery, and batch queries. Documentation and support are available at api@seranking.com.
Ref Tools
Supercharge your AI coding agent with focused, efficient access to documentation. Ref MCP empowers LLM tools to search and extract only the most relevant technical content from APIs, libraries, and services, reducing token usage and avoiding information overload. Smart filtering and precise page reading help your agent find just what it needs, making code generation and research faster, cheaper, and more accurate. Designed to support evolving agent workflows, Ref MCP ensures your AI always has up-to-date documentation context without unnecessary noise or cost, optimizing both performance and productivity for modern AI-powered development.
Selenium WebDriver
Enables browser automation through Selenium WebDriver with support for Chrome, Firefox, and Edge browsers, providing navigation, element interaction, form handling, screenshot capture, JavaScript execution, and advanced actions for automated testing and web scraping tasks.
DataForSEO
Boost AI assistants with a unified DataForSEO MCP server interface. This project offers modular tools—SERP, Keywords, Backlinks, On-page, Domain Analytics, Content Analysis, Business Data, AI Optimization, and DataForSEO Labs—so agents can request rich SEO and competitive intelligence through a consistent API. It supports field filtering and module selection to return focused, concise data, making integration with AI workflows and automated SEO tasks easier.
Coupler
Analyze business data fast with the Coupler.io MCP Server for Claude. This MCP server brings Coupler.io data flows into Claude for AI-powered querying and analysis across marketing, sales, finance, and e-commerce. Built-in tools let the AI fetch dataflow results, read schemas, list flows, and retrieve metadata. Transform raw platform data (Google Ads, Facebook, HubSpot, Salesforce) into up-to-date reports and metrics for forecasting, ROI, pipeline, cash flow, and accounts receivable insights. Designed for analysts and teams to ask natural-language questions and get actionable intelligence.
Pandoc Markdown to PowerPoint
Converts Markdown content to PowerPoint presentations using pandoc with automatic diagram rendering for Mermaid, PlantUML, and Graphviz code blocks, supporting custom templates and file path inputs for streamlined presentation generation from documentation and notes.