microsoft/markitdown
MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing.
Awesome MCP › Other MCP Servers
SEO MCP is a Model Control Protocol (MCP) service designed to provide SEO-related data and analytics based on Ahrefs data. It offers a comprehensive API that enables users to retrieve various SEO metrics such as backlink analysis, keyword research, traffic estimation, and keyword difficulty scores. The service automates the entire data retrieval process, including solving CAPTCHAs using CapSolver, authenticating with Ahrefs, and caching results to optimize performance and reduce API costs. Key features include detailed backlink data for any domain, including domain rating, anchor text, and link attributes, with filters for educational and government domains. The keyword research functionality generates keyword ideas from seed keywords, providing metrics like keyword difficulty, search volume, and trends. Traffic analysis features estimate website traffic, track traffic history and trends, analyze popular pages and country distribution, and monitor keyword rankings. The service is designed for educational purposes and integrates easily with development environments such as Cursor IDE. It supports Python 3.10 or higher and requires a CapSolver API key for CAPTCHA solving. The API exposes several MCP tools, including methods to get backlinks, generate keyword ideas, estimate traffic, and assess keyword difficulty. The project is open-source under the MIT License and includes detailed installation, usage, and troubleshooting instructions. Overall, SEO MCP serves as a powerful tool for developers and SEO professionals to programmatically access and analyze SEO data through a standardized MCP interface, leveraging Ahrefs' extensive SEO database while handling complexities like CAPTCHA and authentication transparently.
https://github.com/cnych/seo-mcp
MarkItDown is a Python tool that converts various file formats into Markdown and integrates with LLM applications via an MCP server for enhanced text analysis and document processing.
A curated collection of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations.
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