An open protocol enabling communication and interoperability between opaque agentic applications.
-
Updated
Jan 29, 2026 - Shell
#
a2a-mcp
Here are 34 public repositories matching this topic...
Secure gateway for MCP, A2A, LLM; MCP registry & orchestrator
agent ai runtime mcp gemini openai k8s acp claude a2a chatgpt chatgpt-api deepseek mcp-servers mcp-server mcp-client mcp-tools mcp-host mcp-gateway a2a-mcp
-
Updated
Jan 29, 2026 - TypeScript
Official Python SDK for the Agent2Agent (A2A) Protocol
-
Updated
Jan 29, 2026 - Python
Samples using the Agent2Agent (A2A) Protocol
-
Updated
Dec 23, 2025 - Jupyter Notebook
Deploy and share agents with open infrastructure, free from vendor lock-in.
cloud-native-platform agent-platform ai-platform agentic-ai agentic-systems agentic-infrastructure mcp-gateway a2a-protocol a2a-mcp agentic-ai-architecture open-infrastructure mcp-middleware agentic-engineering a2a-platform
-
Updated
Jan 29, 2026 - Python
Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place.
-
Updated
Oct 27, 2025
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.
-
Updated
Dec 2, 2025 - Python
A curated list of Agent-to-Agent (A2A) libraries and SDKs, organized by programming language.
-
Updated
Dec 22, 2025
MCP/A2A/Rest Fitness Intelligence platform.
rust mcp nutrition fitness-tracker fitness-goals ai-assistant agentic-ai mcp-server a2a-protocol a2a-mcp a2a-server
-
Updated
Jan 29, 2026 - Rust
An interactive command-line interface that uses the Agent2Agent (A2A) & Model Context Protocols (MCP) to manage multi-agent systems.
ai mcp artificial-intelligence multi-agent multi-agent-systems ai-agents multi-agent-system multi-agent-simulation a2a ai-agent agentic-ai multi-agent-collaboration model-context-protocol mcp-client mcp-tools agent2agent a2a-protocol a2a-mcp a2a-cli a2a-client
-
Updated
Jan 1, 2026
Azure-native A2A Technology Demonstrator
-
Updated
Jul 22, 2025 - Python
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
nodejs jwt ai deep-learning mcp nextjs chatbot gemini openai ai-agents a2a google-gemini rag-chatbot graphrag gemini-cli mcp-servers mcp-server deep-research a2a-protocol a2a-mcp
-
Updated
Dec 27, 2025 - TypeScript
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)
agent ai mcp multiagent-systems a2a model-context-protocol mcp-server agent2agent a2a-protocol a2a-mcp a2a-server
-
Updated
May 31, 2025 - Python
-
Updated
Jun 4, 2025 - Python
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.
deep-learning mcp chatbot gemini web-scraping openai copilot ai-agents google-ai a2a agentic-ai mcp-server deep-research a2a-protocol a2a-mcp
-
Updated
Jan 27, 2026 - TypeScript
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.
orchestration multi-agent agents a2a genkit genkit-plugin a2a-protocol a2a-mcp a2a-cli a2a-server genkit-ai
-
Updated
Oct 2, 2025 - TypeScript
🎯 Autonomous Transaction Monitoring & Fraud Response System (Private, Multi-Agent/Modal, MCP/A2A Compliant)
-
Updated
Aug 19, 2025 - Python
Improve this page
Add a description, image, and links to the a2a-mcp topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the a2a-mcp topic, visit your repo's landing page and select "manage topics."