a2a-mcp

There are 23 repositories under a2a-mcp topic.

  • a2a-mcp-openrouter

    Language:Python6

  • A2A

    An open protocol enabling communication and interoperability between opaque agentic applications.

    Language:TypeScript20.6k

  • a2a-python

    Official Python SDK for the Agent2Agent (A2A) Protocol

    Language:Python1.3k

  • a2a-samples

    Samples using the Agent2Agent (A2A) Protocol

    Language:Jupyter Notebook959

  • agentstack

    Deploy and share agents with open infrastructure, free from vendor lock-in.

    Language:Python823

  • awesome-a2a

    Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.

    464

  • archestra

    Enterprise-ready MCP gateway, MCP registry & orchestrator

    Language:TypeScript254

  • a2a-in-action

    我从A2A官方克隆下来，并加以修改的A2A实战代码示例，用于初学者入门教学，大家一起来A2A吧。

    Language:Python60

  • Unified-MCP-Tool-Graph

    Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

    Language:TypeScript25

  • cli

    An interactive command-line interface that uses the Agent2Agent (A2A) & Model Context Protocols (MCP) to manage multi-agent systems.

    Language:TypeScript12

  • a2a

    Azure-native A2A Technology Demonstrator

    Language:Python11

  • devto-agent

    Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)

    Language:Python7

  • secure-rag-multi-agent

    Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

    Language:TypeScript3

  • jira-a2a

    Jira A2A Proof of Concept

    Language:Go3

  • Genkit-UI

    A production-oriented, TypeScript multi-agent AI platform built on Google Genkit. The system composes Genkit flows, reusable tools, and independent A2A agents to support complex tasks such as research orchestration, code generation, and content editing.

    Language:TypeScript2

  • JSentrix

    🎯 Autonomous Transaction Monitoring & Fraud Response System (Private, Multi-Agent/Modal, MCP/A2A Compliant)

    Language:Python2

  • ag2a

    AG2A: AutoGen Agent-to-Agent - A library for AutoGen (AG2) agents with MCP capabilities exposed as A2A agents

    Language:Python2

  • chungoid

    it built itself

    Language:Python2

  • Mastervolt-Deep-Research

    Mastervolt Deep Research is a sophisticated multi-agent orchestration system built on VoltAgent that automates complex research workflows. It combines specialized AI agents, semantic memory, intelligent tooling, and custom web scraping to conduct comprehensive research, verify facts, analyze data, and generate publication-ready reports.

    Language:TypeScript1

  • a2a-agentkit

    The A2A AgentKit provides a collection of sample AI agents that implement the Agent-to-Agent (A2A) protocol. These agents showcase interoperable AI systems built with the A2A SDK, integrated with the Genkit framework and powered by Google Gemini AI models.

    Language:TypeScript1

  • google-a2a

    About Pure java implementation of Google A2A protocol. This project demonstrates how to build an A2A-compliant multi-agent system using Spring Boot, Ollama, and the Agent-to-Agent (A2A) protocol. The architecture is based on a Parent Agent that orchestrates multiple Child Agents (e.g., Order Agent, Seller Agent).

    Language:Java1

  • A2A-Orchestrator

    A distributed multi-agent system that orchestrates complex tasks across specialized AI agents using A2A (Agent-to-Agent) protocol, MCP (Model Context Protocol) and LangGraph.

    Language:Python

  • fasta2a

    a Python framework for building and consuming Agent‑to‑Agent (A2A) servers. It draws inspiration from the popular FastMCP project but targets the A2A protocol directly.

    Language:Python