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Connect LLMs with A2A agents for messaging, task management, and agent discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "A2A MCP Server" yet — see the docs or source repo.
Use the A2A MCP Server to send a message to a target A2A agent asking it to summarize this week's customer feedback, then return the task status and result.
Returns created or executed task details, including status, response content, or a task ID.
Use the A2A MCP Server to fetch a target agent's basic information, supported capabilities, and available interfaces so I can assess whether it fits my workflow.
Outputs the agent description, capability list, and interface details for evaluation and integration.
Use the A2A MCP Server to check the progress of a task previously submitted to another agent, then summarize the current status, latest update, and recommended next steps.
Returns a task progress summary with current status, key updates, and suggested next actions.
Connect MCP-capable agents to A2A endpoints for agent-to-agent messaging.
Add agentic tools with iterative reasoning and tool use to apps
Enable AI agents to communicate, route messages, and collaborate through MCP.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.