AgentRPC

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.

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.

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.

OpenRPC

Effortlessly execute JSON-RPC requests following the guidelines of the OpenRPC standard.

SuperiorAPIs

Facilitates seamless communication between artificial intelligence platforms and third-party services via a range of callable functions within the efficient fastmcp framework.

Trinity

Connect artificial intelligence platforms with Trinity's formula-driven software using a Go-powered server, facilitating interaction with Trinity's API features through a JSON-RPC interface.

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.

Agent Communication

Facilitate seamless teamwork among diverse LLM agents on various platforms via a server built on TypeScript. This server manages agent sign-up, real-time communication, task synchronization, and context exchange, supported by GitHub integration for intricate operations.

A2A Bridge

Facilitates the seamless connection between LLMs and agents compatible with the Agent-to-Agent protocol, allowing the transfer of intricate assignments to external specialized agents without the need for direct protocol integration.

AgentBay

Delivers cloud-based infrastructure tailored for artificial intelligence agents without the need for server management.