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Enables integration with Microsoft Teams using the Model Context Protocol (MCP) to manage messages and members.
Provides an MCP server to load and expose Anthropic-style skills for non-Claude clients.
Enables AI interaction with Revit for data extraction, element manipulation, and code execution.
Enables AI assistants like Claude to search and reference Apple Notes during conversations using Model Context Protocol.
Enables tool use and function calling with Anthropic models, facilitating interaction with external resources.
Integrates Linear project management with the Model Context Protocol to enable LLM interaction with Linear issues.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Centralizes and enhances AI infrastructure by acting as an intermediary for Model Context Protocol (MCP) servers.
Enables AI assistants to control, debug, and analyze Android devices using natural language via the Model Context Protocol.
Provides an adapter for the Model Context Protocol (MCP), enabling real-time communication between web applications and AI models on frameworks like Next.js.
Provides an AI-first development framework that uses the Model Context Protocol (MCP) to enable Large Language Models (LLMs) to interact with development tools and context.
Enables onchain interactions for AI applications with tools to interact with the Base Network and Coinbase API.
Provides comprehensive Node.js debugging capabilities using the Chrome DevTools Protocol for full access to breakpoints, stepping, and code inspection.
Provides intelligent coding assistance through custom AI tools directly within Cursor's Composer.
Enables AI assistants to interact with multiple databases simultaneously through a unified interface.
Provides Claude with a sophisticated, cognitive science-backed memory system for persistent recall, context management, and proactive information storage.
Enables AI applications to use Apify Actors as tools for performing specific tasks like data extraction and web scraping.
Enables websites to share tools, resources, and prompts with client-side LLMs.
Extends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs.
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