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Enables LLMs to manipulate PDF files through merging, extracting pages, and searching content.
Enables AI agents to access and manage Raindrop.io bookmarks through the Model Context Protocol (MCP).
Automate complex Google Workspace tasks and simplify API authorization by integrating with Gemini CLI via a Google Apps Script-based MCP server.
Interact with the Jira API to manage issues and sprints through MCP.
Enables AI assistants to perform advanced PDF processing operations by integrating with the Nutrient Document Web Service (DWS) Processor API.
Provides AI assistants with task management and agent memories capabilities using project-specific storage.
Enables users to create, manage, and publish X/Twitter posts directly through Claude chat.
Automates JianYing video production, enabling AI assistants to create professional video content through natural language.
Integrates with Gmail to enable programmatic sending, reading, and management of emails through the Model Context Protocol.
Provides Model Context Protocol (MCP) server options for integrating Postman capabilities with AI assistants and developer tools.
Connects Redmine's REST API to LLMs, providing access to ticket and project information.
Integrates Sketch designs with IDEs to enable AI-powered design-to-code workflows.
Provides a native Delphi server implementation of the Model Context Protocol (MCP) for AI-powered Delphi development workflows.
Provides a comprehensive developer portal to extend and integrate with Anytype's unique offline-first knowledge management system.
Enables LLMs to interact with and manage bookmarks stored in Raindrop.io using the Model Context Protocol.
Enables AI agents to manage multi-step tasks in a structured manner, including tracking progress and enabling user approval checkpoints.
Converts any GitHub repository or local directory into a searchable Model Context Protocol (MCP) server for AI assistants.
Provides a Python server implementation for automating messages and context-aware interactions within enterprise WeChat environments via the Model Context Protocol (MCP).
Deploy intelligent multi-agent swarms and coordinate autonomous workflows in an advanced agentic development environment.
Facilitates programmatic interaction with the Spotify API for music search, playback control, and library management.
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