Extends Claude's desktop app to execute terminal commands, manage processes, and perform file system operations, including code editing.
Securely exposes file contents and metadata from a preconfigured directory, allowing LLMs to read and list files from your local machine.
Enables interaction between Model Context Protocol (MCP) clients and Jupyter notebooks running in JupyterLab.
Centralizes the discovery, comparison, and implementation of Model Context Protocol (MCP) servers, ranked by community popularity.
Facilitates context-efficient file editing for AI agents through pattern-based copy and paste operations.
Executes AppleScript and JavaScript for Automation (JXA) scripts on macOS via a Model Context Protocol (MCP) server.
Enables AI assistants to interact with JIRA APIs, facilitating issue management and workflow automation.
Facilitates remote execution of AppleScript and JavaScript for Automation (JXA) scripts on macOS, enabling programmatic control over applications and system functions.
Maintains project context across development sessions for AI-assisted coding with the Cline VSCode extension.
Provides comprehensive system information and management capabilities for Linux servers via MCP protocol and HTTP REST API, enabling AI agents to remotely monitor and interact with server resources.
Empower LLMs to programmatically create, edit, and execute custom skills across MCP-compatible clients like Claude and Cursor.
Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.
Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.
Provides secure, controlled access for AI assistants to perform Ubuntu operating system operations.
Manages local PC resources through file, directory, and command execution capabilities via the Model Context Protocol.
Extends Cursor IDE with Model Context Protocol servers for interacting with external tools and services.
Execute AppleScript and JavaScript for Automation (JXA) scripts on macOS remotely via a Model Context Protocol (MCP) server.
Empower AI models to securely manage remote Linux servers and automate browser interactions.
Provides a cross-platform intelligent assistant application for interacting with AI models, managing knowledge, and automating workflows.
Manages todo lists with YAML-based persistence, integrating with Model Context Protocol (MCP) clients for natural language interaction.
Enables AI agents to perform precise, secure, and quality-controlled file modifications using a block-based patching format.