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Why this server?
Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
Why this server?
A robust server-side application that implements Model Context Protocol (MCP) for file operations, providing authentication and modular REST APIs for managing files, users, and posts.
Why this server?
A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.
Why this server?
A TypeScript-based document processing server that supports various document formats (.docx, .pdf, .xlsx) and integrates with Model Context Protocol SDK for efficient document context management.
Why this server?
Enables interaction with Paperless-NGX API servers, supporting document management, tagging, and metadata operations through a natural language interface.
Why this server?
Enables seamless interaction with Figma via the Model Context Protocol, allowing LLM applications to access, manipulate, and track Figma files, components, and variables.
Why this server?
Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
Why this server?
Enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.
Why this server?
A protocol interface that extends AI capabilities by enabling models to interact with external systems for calculations, email operations, knowledge search, and more.
Why this server?
A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.