beginner⏱️ 20-30 minutes📅 Updated June 2026

Step-by-step guide to integrate A2A MCP server with JetBrains AI Assistant. Includes agent management and message processing.

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

  1. 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)
  2. 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"
      }
    }
  }
}

  1. 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

  1. Start a new conversation in JetBrains AI Assistant
  2. Ask JetBrains AI Assistant to list available tools
  3. 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?

Related Resources

More Integrations

Explore other MCP servers that work with JetBrains AI Assistant

Need Help?

Join the MCP community for support and discussions

A2A + JetBrains AI Assistant: MCP Setup Guide (2026)