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
modelcontextprotocol/servers
The Model Context Protocol Servers repository is a comprehensive collection of reference implementations and third-party integrations that demonstrate how the Model Context Protocol (MCP) enables Large Language Models (LLMs) to securely access and interact with a wide variety of tools and data sources. MCP servers provide a standardized and secure way for LLMs to extend their capabilities by interfacing with external systems, APIs, and data repositories. This repository includes multiple reference servers that showcase the core features and versatility of MCP. These servers cover functionalities such as web content fetching, secure file operations, Git repository management, persistent memory systems based on knowledge graphs, dynamic problem-solving through sequential thinking, and time and timezone conversions. Each server is typically implemented using one of the official MCP SDKs available in C#, Java, Kotlin, Python, and TypeScript, which facilitate the development of MCP-compliant servers. Additionally, the repository maintains an archive of older reference servers that provided integrations with various platforms and services like AWS Knowledge Base, Brave Search, GitHub, Google Drive, PostgreSQL, Redis, Slack, and more. These archived servers serve as historical examples and resources. Beyond the reference implementations, the repository also lists third-party MCP servers developed and maintained by external companies. These official integrations connect MCP to numerous SaaS platforms and services, including payment platforms, AI agent frameworks, cloud services, enterprise data catalogs, search engines, and more. This ecosystem highlights the extensibility and real-world applicability of MCP in enabling AI agents to perform complex tasks by leveraging external tools and data. Overall, the Model Context Protocol Servers repository is a vital resource for developers and organizations looking to implement or understand MCP servers, providing practical examples, SDK references, and a growing list of integrations that demonstrate the protocol's power in enhancing LLM capabilities securely and efficiently.
https://github.com/modelcontextprotocol/servers
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