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Validates n8n workflows and automates integrations with Next.js applications.
Enables large language models to edit files on a local file system.
Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.
Accesses and manages Obsidian notes directly from the file system, providing a secure Model Context Protocol (MCP) server interface.
Integrates Simplenote with Claude Desktop, enabling interaction with notes as a memory backend or content source.
Provides a TypeScript-based playground for experimenting with and extending an Model Context Protocol server.
Provides a unified Multi-Component Protocol (MCP) server for managing all OAuth-enabled third-party integrations.
Empowers users to prioritize tasks using the Eisenhower Matrix, featuring a privacy-first, offline-capable interface and optional AI-powered management via an MCP Server.
Manages persistent, categorized bookmarks for AI workflows and Model Context Protocol (MCP)-compatible clients.
Enables agent frameworks to integrate with Knock's APIs using tools and allows integration with Model Context Protocol clients.
Automates airline seat reservations through intelligent agent interactions.
Manages and executes tasks in a queue-based system using Cloudflare Workers.
Enables AI models and MCP clients to access, analyze, and derive insights from meetings across Google Meet, Zoom, and Microsoft Teams.
Integrates Anthropic's Model Context Protocol with Raycast, allowing you to use MCP tools directly within Raycast AI.
Empower AI agents with comprehensive codebase understanding, eliminating context loss and optimizing token usage for complex software development.
Integrates Google Gemini CLI with Claude Code for AI-powered development assistance via a Model Context Protocol server.
Enables version control and programmatic management of Unreal Engine's UMG UI assets by converting them to and from human-readable JSON files.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Extends Large Language Models' capabilities to access comprehensive Emacs environment and configuration information.
Empowers LLMs to author end-to-end style integration tests by providing real-time access to the test environment.
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