A2A + JetBrains AI Assistant: Complete MCP Integration
A2A is a MCP server that An MCP server that bridges the Model Context Protocol (MCP) with the Agent-to-Agent (A2A) protocol, enabling MCP-compatible AI assistants (like Claude) to seamlessly interact with A2A agents..
When integrated with JetBrains AI Assistant, you can:
- Register and manage A2A agents for communication
- Send messages to A2A agents and handle responses
- Manage asynchronous tasks and retrieve results
This guide provides step-by-step instructions to set up A2A in JetBrains AI Assistant, including configuration, examples, and troubleshooting.
What You'll Achieve
After completing this setup:
- A2A will be fully integrated and operational
- You can use A2A tools directly in JetBrains AI Assistant
- All A2A capabilities will be available for your workflows
- Access to 4 different tools
Prerequisites
Before starting, ensure you have:
- JetBrains AI Assistant installed and configured
- Compatible operating system (Windows, macOS, Linux)
Installation
Step 1: Install A2A
Configuration
Step 2: Configure JetBrains AI Assistant
-
Locate your configuration file:
- Windows:
Settings > Tools > AI Assistant > Model Context Protocol (MCP) - macOS:
Preferences > Tools > AI Assistant > Model Context Protocol (MCP) - Linux:
Settings > Tools > AI Assistant > Model Context Protocol (MCP)
- Windows:
-
Add server configuration:
{
"mcpServers": {
"a2a": {
"command": "npx",
"args": ["-y", "a2a"],
"env": {
"MCP_TRANSPORT": "streamable-http",
"MCP_HOST": "0.0.0.0",
"MCP_PORT": "8080",
"MCP_PATH": "/api/mcp",
"MCP_DEBUG": "true"
}
}
}
}
- Restart JetBrains AI Assistant
Completely quit and restart JetBrains AI Assistant to load the new configuration.
Examples
Once configured, you can use A2A in JetBrains AI Assistant:
Register and Communicate with Agent
Set up communication with an A2A agent
Ask JetBrains AI Assistant: "Register an agent for data analysis tasks and send it a dataset processing request"
Expected Result: Agent registered, task submitted, and task_id returned for tracking
Stream Real-Time Data
Use streaming to get real-time updates from agent
Ask JetBrains AI Assistant: "Stream live updates from the monitoring agent about system metrics"
Expected Result: Continuous stream of system metrics and status updates
Manage Multiple Agents
Coordinate tasks across multiple A2A agents
Ask JetBrains AI Assistant: "List all available agents and distribute parallel processing tasks"
Expected Result: Agent list displayed, tasks distributed, and progress tracked
Handle Task Results
Retrieve and process completed task results
Ask JetBrains AI Assistant: "Get the results from the data analysis task I submitted earlier"
Expected Result: Task results retrieved with processed data and analysis findings
Testing Your Setup
- Start a new conversation in JetBrains AI Assistant
- Ask JetBrains AI Assistant to list available tools
- Try using A2A functionality
Test prompts:
- "Type / and look for A2A tools in the command list"
- "Ask AI Assistant to use A2A for a specific task"
- "Check the MCP settings page for connection status indicator"
Troubleshooting
Common Issues
Agent Registration Failed
Symptoms: Registration errors, Agent not found, Connection timeouts
Cause: Network connectivity issues or invalid agent configuration
Solution:
- Check internet connectivity to A2A network
- Verify agent endpoint URLs are correct
- Ensure agent is online and accepting connections
- Check firewall settings and port accessibility
Task Never Completes
Symptoms: Task stuck in pending state, No response from agent
Cause: Agent overload, network issues, or task complexity
Solution:
- Check agent status and availability
- Cancel and resubmit the task
- Break complex tasks into smaller parts
- Try different agent if available
Transport Protocol Errors
Symptoms: Connection refused, Protocol mismatch errors
Cause: Incorrect transport configuration or port conflicts
Solution:
- Verify MCP_TRANSPORT setting matches client expectations
- Check MCP_HOST and MCP_PORT are accessible
- Ensure no port conflicts with other services
- Try different transport mode (stdio, http, sse)
Message Streaming Issues
Symptoms: Broken streams, Incomplete messages, Timeout errors
Cause: Network instability or buffer overflow
Solution:
- Check network stability and bandwidth
- Reduce message frequency or size
- Enable debug logging to trace issues
- Use appropriate buffer sizes for streaming
MCP Server Not Connecting
Symptoms: Server status shows disconnected, Tools not appearing in chat, Connection timeout
Cause: Server configuration incorrect or server not starting
Solution:
- Verify server command is correct and executable
- Check environment variables are set properly
- View MCP logs: Help > Show Log in Explorer > mcp folder
- Test server command in terminal manually
Remote Server Not Supported
Symptoms: HTTP server not connecting, SSE transport errors
Cause: AI Assistant only supports stdio transport for client connections
Solution:
- Use mcp-remote proxy for remote servers
- Configuration: npx -y mcp-remote@latest https://server-url/endpoint
- This wraps HTTP/SSE in stdio transport
Import from Claude Not Working
Symptoms: No servers imported, Configuration empty after import
Cause: Claude Desktop config file not found or in unexpected location
Solution:
- Verify Claude Desktop is installed
- Check config exists at ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
- Or %APPDATA%/Claude/claude_desktop_config.json (Windows)
- Manually copy configuration if auto-import fails
External Client Cannot Connect to IDE Server
Symptoms: Client shows MCP server unavailable, Connection refused
Cause: IDE MCP server not enabled or client not configured
Solution:
- Enable MCP Server in Settings > Tools > MCP Server
- Use Auto-Configure for supported clients
- Restart both IDE and external client
- Check firewall allows local connections
Brave Mode Commands Not Running
Symptoms: Terminal commands require confirmation, Workflow interrupted by prompts
Cause: Brave mode not enabled
Solution:
- Enable in Settings > Tools > MCP Server
- Check "Run shell commands without confirmation (brave mode)"
- Use with caution - commands run without confirmation
A2A not appearing in JetBrains AI Assistant
Symptoms: Server not listed, Tools not available
Cause: Configuration or installation issue
Solution:
- Verify configuration syntax
- Check A2A installation
- Restart JetBrains AI Assistant
- Check logs for error messages
Next Steps
Now that A2A is integrated with JetBrains AI Assistant:
- Explore all A2A capabilities through JetBrains AI Assistant
- Check out other MCP servers that work with JetBrains AI Assistant
- Join the MCP community for tips and support
- Consider contributing to A2A development
Need Help?
- Search for A2A documentation
- Check the JetBrains AI Assistant MCP guide
- Join the MCP community discussions