# Awesome A2a > Agent2Agent (A2A) – awesome A2A agents, tools, servers & clients, all in one place. - **Type:** MCP server - **Install:** `agentstack add mcp-ai-boost-awesome-a2a` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [ai-boost](https://agentstack.voostack.com/s/ai-boost) - **Installs:** 0 - **Category:** [Integrations](https://agentstack.voostack.com/c/integrations) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [ai-boost](https://github.com/ai-boost) - **Source:** https://github.com/ai-boost/awesome-a2a - **Website:** http://agent2agent.ren/ ## Install ```sh agentstack add mcp-ai-boost-awesome-a2a ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About ✨ Awesome A2A (Agent2Agent Protocol) ✨ A curated list of awesome resources, implementations, tools, and examples related to the Agent2Agent (A2A) Protocol for AI agent interoperability. Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文 > The Agent2Agent (A2A) Protocol is revolutionizing how AI agents communicate and collaborate - enabling seamless interoperability across different frameworks, vendors, and platforms. This repository collects the best resources to help developers build A2A-compatible agents. ## Contents * [🤔 What is A2A? (Briefly)](#-what-is-a2a-briefly) * [💡 Key Principles](#-key-principles) * [⚙️ How Does A2A Work? (High Level)](#️-how-does-a2a-work-high-level) * [🚀 Getting Started with A2A](#-getting-started-with-a2a) * [🏛️ Official Resources](#️-official-resources) * [📜 Specification & Core Concepts](#-specification--core-concepts) * [⚙️ Implementations & Libraries](#️-implementations--libraries) * [Official Samples](#official-samples) * [Framework Integrations (Official Samples)](#framework-integrations-official-samples) * [Community Implementations](#community-implementations) * [SDKs & Libraries (by language)](#sdks--libraries-by-language) * [Frameworks](#frameworks) * [Platforms & Integrated Solutions](#platforms--integrated-solutions) * [🛠️ Tools & Utilities](#️-tools--utilities) * [📚 Tutorials & Articles](#-tutorials--articles) * [🎬 Demos & Examples](#-demos--examples) * [🔗 Related Protocols & Concepts](#-related-protocols--concepts) * [💬 Community](#-community) * [Contributing](#contributing) --- ## 🤔 What is A2A? (Briefly) A2A (Agent2Agent) is an **open protocol** from Google and partners enabling different **AI agents** (from various vendors/frameworks) to **communicate securely** and **collaborate on tasks**. It aims to break down silos between isolated agent systems, allowing for more complex cross-application automation. **⭐ Official Website:** [a2aproject.github.io/A2A](https://a2aproject.github.io/A2A) | **⭐ Official GitHub:** [github.com/a2aproject/A2A](https://github.com/a2aproject/A2A) | 🌐 **Multilingual Docs (EN/ZH/JA):** [agent2agent.ren](https://agent2agent.ren) ## 💡 Key Principles * **Simple:** Uses existing standards (HTTP, JSON-RPC, SSE). * **Enterprise Ready:** Focuses on Auth, Security, Privacy, Monitoring. * **Async First:** Handles long-running tasks & human-in-the-loop. * **Modality Agnostic:** Supports Text, Files, Forms, Streams, etc. * **Opaque Execution:** Agents interact without sharing internal logic/tools. ## ⚙️ How Does A2A Work? (High Level) 1. **Discovery:** Agents publish an `Agent Card` (JSON) describing capabilities, endpoint, and auth needs. 2. **Communication:** A `Client` agent sends a `Task` request (containing a `Message` with `Parts`) to a `Remote Agent (Server)` using HTTP/JSON-RPC 2.0. 3. **Execution & Response:** The Server processes the task, updating its `status`. It responds with the final status and any generated `Artifacts` (results, also containing `Parts`). 4. **Updates:** For long tasks, the Server can optionally stream `TaskStatusUpdateEvent` or `TaskArtifactUpdateEvent` via Server-Sent Events (SSE) or use Push Notifications. *For details, see the [Official Technical Documentation](https://a2aproject.github.io/A2A/#/documentation).* --- ## 🚀 Getting Started with A2A New to A2A? Here's a suggested path: 1. **Understand the Basics:** Read the sections above ([What is A2A?](#-what-is-a2a-briefly), [Key Principles](#-key-principles), [How it Works](#️-how-does-a2a-work-high-level)). Check the 📰 [Announcement Blog Post](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/). 2. **Explore Core Concepts:** Dive into the 📖 [Official Technical Documentation](https://a2aproject.github.io/A2A/#/documentation), focusing on `Agent Card`, `Task`, `Message`, `Part`, and `Artifact`. 3. **See it in Action:** Watch the 🎥 [Official Demo Video](https://storage.googleapis.com/gweb-developer-goog-blog-assets/original_videos/A2A_demo_v4.mp4) and explore the code for the 🌐 [Multi-Agent Web App Demo](https://github.com/a2aproject/A2A/tree/v0.2.1/demo). 4. **Run the Samples:** Clone the [Official Samples Repo](https://github.com/a2aproject/a2a-samples) and follow its instructions to run a client (like the CLI) and a sample agent (e.g., LangGraph or Genkit agent). 5. **Review the Code:** Look at the `common` (Python) or `server`/`client` (JS/TS) libraries in the official samples to see how A2A communication is implemented. 6. **Try Building:** Adapt a sample or use a library to create your own basic A2A agent or client. --- ## 🏛️ Official Resources * 📄 [A2A Protocol Website](https://a2aproject.github.io/A2A) - The main documentation site. * 💻 [google/A2A GitHub Repository](https://github.com/a2aproject/A2A) - Source code for the spec, docs, and official samples. * 📰 [Google Developers Blog Post](https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/) - Announcement blog post explaining the motivation and partners. ## 📜 Specification & Core Concepts *(See [How Does A2A Work?](#️-how-does-a2a-work-high-level) above for summaries)* * 📖 [A2A Technical Documentation](https://a2aproject.github.io/A2A/#/documentation) - **(Full Details)** Detailed explanation of actors, transport, auth, core objects (Task, Artifact, Message, Part), Agent Card, etc. * 📄 [JSON Specification](https://github.com/a2aproject/A2A/tree/main/specification/json) - The raw JSON schema definition for A2A structures. * 💡 [Key Principles (Docs)](https://a2aproject.github.io/A2A/#/documentation?id=key-principles) - Link to the principles section in the official docs. * 🃏 [Agent Card Specification (Docs)](https://a2aproject.github.io/A2A/#/documentation?id=agent-card) - Link to the Agent Card section in the official docs. * 🗺️ [Agent Discovery (Topic)](https://a2aproject.github.io/A2A/#/topics/agent_discovery.md) - Discussion on how clients can find agent cards. * 🔔 [Push Notifications (Topic)](https://a2aproject.github.io/A2A/#/topics/push_notifications.md) - Details on the push notification mechanism. * 🛡️ [Enterprise Readiness (Topic)](https://a2aproject.github.io/A2A/#/topics/enterprise_ready.md) - Discussion on security, auth, privacy aspects. ## ⚙️ Implementations & Libraries #### Official Samples *These demonstrate basic A2A client/server communication.* | Language | Sample Name | One-line Description | GitHub URL | | ----------------- | -------------------------- | ------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | 🔷 **TypeScript** | Genkit SDK Core | TS SDK + CLI, builds shared code for front- and backend | [https://github.com/a2aproject/a2a-samples/tree/main/samples/js](https://github.com/a2aproject/a2a-samples/tree/main/samples/js) | | | Movie Recommendation Agent | Movie-recommendation conversational agent built with Genkit | [https://github.com/a2aproject/a2a-samples/tree/main/samples/js/src/agents/movie-agent](https://github.com/a2aproject/a2a-samples/tree/main/samples/js/src/agents/movie-agent) | | | TypeScript Client | Pure-frontend call example written in TS | [https://github.com/a2aproject/a2a-samples/tree/main/samples/js/client](https://github.com/a2aproject/a2a-samples/tree/main/samples/js/client) | | | Node Express Server | A2A HTTP service implemented with Node/Express | [https://github.com/a2aproject/a2a-samples/tree/main/samples/js/server](https://github.com/a2aproject/a2a-samples/tree/main/samples/js/server) | | ☕ **Java** | Custom Client | Java client with streaming listener | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/client](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/client) | | | Data Models | Complete set of POJO data models | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/model](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/model) | | | Custom Server | Spring Boot A2A server implementation | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/server](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/custom_java_impl/server) | | | Dice Agent (Multi-Transport) | Agent supporting multiple transport protocols | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/dice_agent_multi_transport](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/dice_agent_multi_transport) | | | Magic 8-Ball (Security) | Security-focused agent with OAuth2 | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/magic_8_ball_security](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/magic_8_ball_security) | | | Content Writer Agent | Content generation agent | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/content_writer](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/content_writer) | | | Content Editor Agent | Content editing agent | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/content_editor](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/content_editor) | | | Weather MCP Agent | Weather agent with MCP integration | [https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/weather_mcp](https://github.com/a2aproject/a2a-samples/tree/main/samples/java/agents/weather_mcp) | | 💠 **.NET** | Basic A2A Demo | Echo and Calculator server examples | [https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/BasicA2ADemo](https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/BasicA2ADemo) | | | CLI Demo | Command-line client and server demo | [https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ACliDemo](https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ACliDemo) | | | Semantic Kernel Demo | Integration with Semantic Kernel | [https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ASemanticKernelDemo](https://github.com/a2aproject/a2a-samples/tree/main/samples/dotnet/A2ASemanticKernelDemo) | | 🐍 **Python** | CLI Host | Command-line interface for interacting with A2A agents | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/hosts/cli](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/hosts/cli) | | | Hello World | Recommended first-run "Hello World" scaffold | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/helloworld](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/helloworld) | | | LangGraph Agent | Uses LangGraph to orchestrate multi-turn dialogue | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/langgraph](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/langgraph) | | | CrewAI Agent | Demonstrates multi-role collaboration with CrewAI | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/crewai](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/crewai) | | | Semantic Kernel Agent | Orchestrates tools with Semantic Kernel | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/semantickernel](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/semantickernel) | | | AG2 Agent | Minimal AG2 mutual-call example | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/ag2](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/ag2) | | | ADK Expense Reimbursement | Multi-turn expense reimbursement with forms | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/adk_expense_reimbursement](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/adk_expense_reimbursement) | | | Birthday Planner (ADK) | Multi-step birthday-party planner with ADK | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/birthday_planner_adk](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/birthday_planner_adk) | | | Azure AI Foundry Agent | Example using Azure AI Foundry SDK | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/azureaifoundry_sdk](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/azureaifoundry_sdk) | | | A2A MCP Integration | Multi-agent collaboration with MCP servers | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2a_mcp](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2a_mcp) | | | MCP without Framework | Bare-metal MCP integration without frameworks | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2a-mcp-without-framework](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/a2a-mcp-without-framework) | | | Travel Planner Agent | One-stop travel-planning agent | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/travel_planner_agent](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/travel_planner_agent) | | | Headless OAuth2 | OAuth2 flow for headless agents | [https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/headless_agent_auth](https://github.com/a2aproject/a2a-samples/tree/main/samples/python/agents/headless_agent_auth) | | | Analytics Workflow | Multi-agent orchestration for data-analytics | [https://github.com/a2aproject/a2a- … ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [ai-boost](https://github.com/ai-boost) - **Source:** [ai-boost/awesome-a2a](https://github.com/ai-boost/awesome-a2a) - **License:** MIT - **Homepage:** http://agent2agent.ren/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** yes - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-ai-boost-awesome-a2a - Seller: https://agentstack.voostack.com/s/ai-boost - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.