AutoGen

Meta-Prompting

Unleashing language models' potential, the Model Context Protocol (MCP) converts them into flexible multi-agent frameworks. Within this system, a central Conductor dissects intricate issues into manageable subtasks, assigning them to domain-specific Experts for execution. This interplay fosters comprehensive problem-solving through diverse viewpoints and critical self-assessment, enhancing the overall workflow efficiency.

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.

A2A Bridge

Integrates Google's Agent-to-Agent communication standard with MCP to facilitate agent identification, enrollment, communication, and operation coordination by converting protocols between A2A's JSON-RPC messaging and MCP's interface based on tools.

Emacs Lisp Generator

Facilitates seamless communication between AI technology and Emacs by creating and running Elisp scripts to manage buffers, edit text, and adjust settings, eliminating the need for users to have Elisp programming skills.

ACP Bridge

Facilitating connectivity between Agent Communication Protocol networks and MCP clients, the Model Context Protocol allows seamless interaction with intricate multi-agent processes. It offers advanced features such as smart agent identification, efficient message routing, and versatile message conversion supporting various execution modes like synchronous, asynchronous, and streaming.

BLAH (Barely Logical Agent Host)

Discover a collaborative platform for developing, testing, and distributing AI agent utilities. Benefit from a user-friendly graphical interface, virtual simulation features, and decentralized tool exploration functions.

OmniParser AutoGUI

Experience AI-driven desktop application control using cutting-edge computer vision and automation tools with the Model Context Protocol (MCP). Enable seamless integration of AI assistance for desktop tasks through advanced visual analysis and GUI interaction capabilities.

OpenAI Agents

Discover the full potential of OpenAI's agent capabilities for enhancing web search, file exploration, and computer operations. Harnessing specialized agents and a dynamic multi-agent orchestrator, this protocol efficiently manages tasks by coordinating between different agents as needed.

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.

Easy AutoCAD

Facilitate automated communication with AutoCAD using a Python-powered server that facilitates database handling and automates tasks using libraries such as pyautocad and comtypes.

Office

Empower artificial intelligence to streamline various Microsoft Office tasks on Windows using COM interfaces. This protocol facilitates program initiation, document editing, screen capturing, and file administration. Ideal for automating Office applications seamlessly.

Deebo (Autonomous Debugging)

Cutting-edge autonomous debugging technology that collaborates with artificial intelligence programming assistants.

Brightsy

Enhance your system with seamless task automation, natural language processing, and interactive chat features through a Model Context Protocol (MCP). Bridge your OpenAI-compatible agent to enable smooth integration within diverse applications and systems.

Gateway

Easily link AI chatbots to various dedicated platforms via a central interface. This allows effortless exploration of tools and smooth communication between different MCP servers and web APIs, all within the same chat environment.

Software Architect

Employs specialized architectural agents to analyze and create software blueprints, models, and remedies for development groups in need of AI-backed architectural support.