AI Agent for A2A MCP Server
Integrate the A2A MCP Server to seamlessly bridge Anthropic’s Model Context Protocol (MCP) and Google’s Agent-to-Agent (A2A) protocol. Enable AI assistants like Claude to register, communicate with, and manage A2A agents through a unified, secure interface. Unlock advanced agent interoperability, real-time messaging, and scalable agent orchestration for your AI-driven workflows.
Unified Protocol Bridge for AI Agents
The A2A MCP Server acts as a robust bridge, connecting Anthropic's MCP and Google's A2A protocols. Empower your AI assistants to register, list, and communicate with multiple A2A agents using a standardized interface. Streamline complex agent orchestration while maintaining security and scalability.
- Agent Registration & Management.
- Easily register, list, and unregister A2A agents, providing full lifecycle management through a unified API.
- Real-Time Messaging.
- Send messages and stream responses between AI assistants and A2A agents for instant task execution.
- Flexible Transport Options.
- Supports stdio, HTTP streaming, and Server-Sent Events (SSE) for maximum deployment flexibility.
- Secure Protocol Bridging.
- Standardize and secure agent interactions across multiple AI ecosystems.
Advanced Task Orchestration
Optimize agent collaboration with robust task management. Track, retrieve, and cancel tasks with unique task IDs. Monitor execution across multiple agents and ensure your workflows are always in sync.
- Task Tracking.
- Track which A2A agent is handling each task and monitor task progress in real time.
- Result Retrieval.
- Retrieve task results using unique task IDs for precise, repeatable workflows.
- Task Cancellation.
- Cancel ongoing agent tasks with ease to maintain control and flexibility.
Effortless Integration for Leading AI Platforms
Deploy the A2A MCP Server with Anthropic Claude, Cursor IDE, and Windsurf browser. Quick setup with PyPI, Smithery, or local installation options. Easily configure transport and endpoints for your preferred environment, and instantly scale agent capabilities for your business.
- Simple Installation.
- Install via PyPI, Smithery, or direct clone for seamless onboarding.
- Multi-Platform Support.
- Integrate with Claude Desktop/Web, Cursor IDE, and Windsurf browser for maximum reach.
- Easy Configuration.
- Configure transport, endpoints, and environment variables to suit any deployment scenario.
MCP INTEGRATION
Available A2A MCP Integration Tools
The following tools are available as part of the A2A MCP integration:
- register_agent
Register an A2A agent with the bridge server so it can be accessed via MCP clients.
- list_agents
Get a list of all registered A2A agents currently available through the server.
- unregister_agent
Remove an A2A agent from the bridge server when it is no longer needed.
- get_task_result
Retrieve the result of a previously submitted task using its unique task ID.
- cancel_task
Cancel a running task on an agent using its task ID to stop execution.
- send_message
Send a message to a registered agent and receive a task ID for tracking the response.
- send_message_stream
Send a message to an agent and stream the response in real-time for interactive use.
Connect Your A2A MCP Server Integration with FlowHunt AI
Connect your A2A MCP Server Integration to a FlowHunt AI Agent. Book a personalized demo or try FlowHunt free today!
What is A2A MCP Server
A2A MCP Server is a specialized lightweight Python bridge designed to facilitate communication between Model Context Protocol (MCP)-compatible AI assistants, such as Claude, and Agent-to-Agent (A2A) protocol agents. By bridging these two protocols, A2A MCP Server enables seamless interaction and integration, allowing users to register servers, list agents, and call agents with minimal setup and zero boilerplate. This makes it an ideal choice for rapid prototyping, agent integration, and development environments. The server is open-source, customizable, and aimed at developers looking to build, test, or prototype MCP and A2A integrations quickly and efficiently.
Capabilities
What we can do with A2A MCP Server
A2A MCP Server empowers developers and AI practitioners to quickly integrate, test, and connect MCP-compatible AI assistants with A2A protocol agents. Its lightweight design and developer-friendly features enable a variety of use cases around agent communication and orchestration.
- Register and manage servers
- Easily register A2A servers and manage them via simple JSON requests.
- List agents and their capabilities
- Quickly discover all registered A2A agents and the features they support.
- Call agents and relay prompts
- Send prompts to agents and receive their responses in real-time through the MCP bridge.
- Rapid prototyping
- Integrate new agents or assistants with zero boilerplate for fast development cycles.
- Customizable and open source
- Adapt and extend the server’s workflow to suit your needs in development and testing environments.
What is A2A MCP Server
AI agents can leverage A2A MCP Server to easily connect across protocols, enabling seamless collaboration and communication with other agents and assistants. This interoperability allows agents to share context, delegate tasks, and orchestrate complex workflows. For developers, A2A MCP Server dramatically reduces integration effort, making it simple to test new agent capabilities and interactions in a controlled environment.