Mock infrastructure for AI application testing — LLM APIs, image generation, image editing, text-to-speech, transcription, audio translation, audio generation, video generation, embeddings, MCP tools, A2A agents, AG-UI event streams, vector databases, sea
Command-line tools for validating, discovering, sending, monitoring, and testing A2A agents.
MCP server that exposes A2A agents as MCP tools. Each configured agent becomes a callable tool.
Corti AI SDK adapter for Vercel AI SDK, integrating with Corti's A2A agents API
Structured logging, tracing, and metrics for A2A agents
A2A protocol plugin for OpenClaw. Send messages to remote A2A agents and allow others to connect to your agent.
Trust verification CLI for AI packages — check MCP servers, A2A agents, AI tools, and LLMs before you install
Build stateless A2A agents for use in serverless environments. Powered by Momento Cache and Topics.
MCP gateway for a2acloud agents. Run as a local MCP server; expose any number of deployed A2A agents to Claude Code, Cursor, and other MCP clients.
Nexarion Agent Registry — discover, verify, and manage A2A agents
Framework-agnostic Web-Fetch handlers (Request → Response) for OpenAI-compatible /v1/chat/completions and /v1/completions routes backed by A2A agents
CLI for the Web42 Agent Network — discover, register, and communicate with A2A agents
Discover, verify, and invoke ERC-8004 / A2A agents directly from chain — no platform required.
CLI scaffolding tool for A2A agents
Manage UiPath AgentHub MCP server registrations, tools, and remote A2A agents.
Build A2A agents in 8 lines. Add enterprise features when you need them.
The official CapiscIO CLI tool for validating A2A agents
A Model Context Protocol (MCP) server providing a 'fetch_agents' tool to discover public A2A agents on the Agently platform via its public API.
Discover and communicate with A2A agents
Nexarion MCP Server — exposes A2A agents as MCP tools via stdio or HTTP
A simple CLI client for A2A agents
The opening act for your A2A agents — discover, test, and certify A2A protocol compliance
MCP gateway for a2acloud agents. Run as a local MCP server; expose any number of deployed A2A agents to Claude Code, Cursor, and other MCP clients.
Open agent registry — discover and register A2A agents
Framework for building A2A Protocol agents with declarative configuration
Agent Development Kit (ADK) for building powerful, interoperable AI agents with the Agent-to-Agent (A2A) protocol
Generic web client library for building A2A agent frontends
ggen is a deterministic, language-agnostic code generation framework that treats software artifacts as projections of knowledge graphs.
Common utilities for building A2A Protocol agents
A comprehensive test framework for validating A2A protocol server implementations. Includes tests for REST and gRPC bindings covering agent discovery, messaging, streaming, task management, push notifications, error handling, and more.
Complete A2A Protocol implementation for Ruby applications, enabling agent-to-agent communication via JSON-RPC 2.0, gRPC, and HTTP+JSON transports
Exposes RobotLab robots and networks as A2A agents over HTTP+SSE. Implements the Agent2Agent Protocol v1.0 (Linux Foundation) via the simple_a2a gem. Supports sync and interactive execution modes, bridging RobotLab's AskUser tool to A2A's input_required/resume lifecycle for multi-turn flows without a terminal dependency.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
RailsLLM integrates the llm.rb runtime and its features into Rails. RailsLLM extends the builtin ActiveRecord support available to the llm.rb runtime with a Rails integration that includes generators for getting set up quickly, and an engine for a stream-capable chat interface that can be extended with your own tools. The llm.rb runtime runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state.
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