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Integrate intelligent, natural language time tracking into Azure DevOps workflows using AI assistants like Claude.
Converts image files into base64 data URIs for seamless integration with AI vision models and MCP-compatible tools.
Empowers AI assistants to create, track, and manage short links efficiently for marketing and analytics.
Enables AI assistants to perform real-time web searches using the Exa AI Search API.
Facilitates academic paper search and analysis through a Model Context Protocol server.
Automates management, backup, and integration of various Google services through the Model Context Protocol.
Provides a foundational template for building custom Model Context Protocol (MCP) servers to integrate with various AI assistants.
Functions as a versatile AI agent and an MCP server, extending Large Language Models and development environments with advanced capabilities and tool integrations.
Enables interaction with the Asana API from Model Context Protocol clients like Anthropic's Claude Desktop Application.
Generates personalized music playlists on TIDAL based on custom criteria and listening history.
Provides a Model Context Protocol server for accessing MantisBT objects via its REST API.
Manages GitHub projects with AI-powered task management and comprehensive requirements traceability.
Manages Todoist tasks, projects, labels, and productivity workflows through an MCP server.
Provides an MCP server for generating random numbers, performing statistical analysis, and managing data through client applications like Claude Desktop and Claude Code.
Generates conventional commit messages by analyzing Git repository changes.
Organizes tasks, manages notes, and aids personal planning through intelligent AI conversation.
Enables natural language control of Fibaro Home Center 3 devices and scenes through Claude AI.
Empowers AI assistants to generate and manage natively formatted Google Docs directly within their workflows.
Enables file searching on a computer by name and returns the results in JSON format.
Transforms FastAPI application OpenAPI documentation into MCP (Model Context Protocol) Tools, enabling AI programming assistants to efficiently query API information and reduce token consumption.
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