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Connect MCP-capable agents to A2A endpoints for agent-to-agent messaging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "a2a-mcp-bridge" yet — see the docs or source repo.
Explain how to configure a2a-mcp-bridge to connect a local MCP-capable agent to a specific A2A endpoint, and provide example startup arguments.
A configuration and startup guide with connection parameters, sample commands, and integration steps.
I want two MCP-capable agents to exchange task messages through the A2A protocol. Using a2a-mcp-bridge, design a simple flow and explain how messages are routed.
A simple multi-agent communication flow describing the bridge role, message path, and interaction steps.
After starting a2a-mcp-bridge, it cannot call the A2A endpoint. List common troubleshooting checks, including stdio communication, endpoint configuration, authentication, and logs.
A prioritized troubleshooting checklist to identify bridge and communication failures.
Connect LLMs with A2A agents for messaging, task management, and agent discovery.
Aggregate local MCP servers into one endpoint with runtime control and hot reload.
Register multiple AI endpoints and auto-route models by capability.
Connect multiple AI agents to one chatroom for collaborative conversations.
Dynamically bridge and register MCP capabilities with two-way client communication.
Create, manage, and compose AI agents for MCP-compatible clients and tools.