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Powers an Oh-my-zsh-style chatbot using Claude and MCP.
Enables holistic project management in Claude by providing a Model Context Protocol (MCP) server for the Linear API.
Enables AI models to interact with Jira through a standardized Model Context Protocol interface.
Exposes tools powered by Integration App via the Model Context Protocol (MCP).
Enables the creation of PPT documents by leveraging AI models and the MCP protocol for integration with intelligent agent assistants.
Enables Large Language Models (LLMs) to save and retrieve sticky notes directly within a web browser.
Integrates Atlassian products like Confluence and Jira with AI assistants for enhanced context awareness and automation.
Facilitate the creation of custom command-line tools designed for integration with development environments.
Extracts PDF annotations, highlights, and text, enabling AI clients to safely interact with document content.
Integrates the Model Context Protocol server with Claude Sonnet 4, an AI assistant, for enhanced file management and AI-powered assistance.
Streamlines the development and management of n8n workflows through enhanced context and automation.
Provides a Model Context Protocol server for local development and testing with Claude Desktop, tailored for spec3 racing applications in a WSL environment.
Enables AI assistants to interact with your YNAB budget using the Model Context Protocol.
Offers a versatile Model Context Protocol (MCP) server providing utilities for global time inquiry, mathematical calculations, multilingual greetings, code reviews, and AI image generation.
Automate token swaps on Uniswap DEX across multiple blockchains for AI agents.
Provides proactive deep analytical thinking using Anthropic's Claude to guide development decisions before writing code.
Enables Claude AI to automate interactions with Telegram, managing chats, messages, contacts, and groups through a secure, hosted Model Context Protocol server.
Track incidents and tickets, compute health scores, and generate executive summaries with an LLM-powered operational intelligence dashboard.
Enables LLM agents to make and manage AI-powered phone calls for various tasks.
Establishes a portable context layer for large language models, providing persistent memory and advanced interaction capabilities.
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