MoLing

AgentMode

Enhance your coding AI's capabilities by seamlessly linking it to numerous databases, data warehouses, data pipelines, cloud platforms, and various services through a comprehensive server solution.

CLI

A secure communication protocol allowing AI models to securely communicate with local environments, ensuring stringent security measures are in place.

MetaMCP

Manage various AI services centrally with a focus on secure API key management and cohesive access, enhancing seamless cross-platform interactions.

LLMBasedOS

Enhanced Arch Linux gateway ensuring secure communication between LLMs and local systems via dedicated servers for file management, email services, synchronization, and operational tasks, safeguarding confidentiality.

Manus

Utilizing a TypeScript-driven interface, the Model Context Protocol (MCP) coordinates diverse agents to collaboratively execute tasks involving file operations, shell commands, and browser automation functions.

Terminal

Facilitates the execution of terminal commands by AI systems in various environments using a server built on TypeScript. The server allows for standard I/O and SSE communication modes, enabling seamless interaction locally or remotely.

A2AMCP

Facilitates collaboration among AI agents on common projects using a Redis-based system for instant communication, file protection against concurrent modifications, shared interfaces for defining types, and managing tasks across concurrent coding sessions efficiently.

AppleScript

Facilitates AI integration with macOS by enabling the execution of AppleScript code, granting interaction with various system functions such as Notes, Calendar, Contacts, Messages, and Finder via a streamlined server setup.

Browser Use

Unlock web browsing functionality for MCP clients with a straightforward command that utilizes your current LLM setup, all without extra expenses on APIs.

Command Executor

Achieve secure command execution for streamlined automation, effective system administration, and managed host resource access.

Terminal Shell

Facilitates AI to run shell instructions within containerized settings via a nimble server offering customizable authentication and SSE transport for smooth terminal engagement.

MCPFinder

Empower virtual assistants to explore and incorporate fresh functionalities through a suite of tools that facilitate searching, accessing information, and setting up MCP servers across different software platforms.

Browser Use

Enhance AI capabilities for automating web browsing activities by utilizing a single interface that interprets natural language commands to browse, search, and extract information from various LLM sources.

Ollama

Empower your on-site AI capabilities with seamless integration of Ollama's local LLM models into MCP-compatible software. Unlock the potential for customized model deployment and in-house data management, ensuring enhanced control over AI processing.

BrowserCat

Empower your Large Language Models (LLMs) to engage with online content via cloud-driven browser automation. Facilitate seamless navigation, capture screenshots, interact with webpage elements, and execute JavaScript commands - all without the need for a local browser setup.