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feat: Add Cisco Agent Connect Protocol (ACP) support
- Add ACP domain models (Agent, AgentRun, Thread, etc.) following ACP specification - Implement ACPRestController with full REST API endpoints for agent discovery and execution - Add ACPMapper utility for converting between A2A and ACP domain models - Create comprehensive unit tests for all ACP functionality (ACPRestControllerTest, ACPIntegrationTest, etc.) - Update CallBackType enum to include ACP alongside A2A and MCP - Add Spring Boot Web dependencies for REST controller support - Update README.MD to reflect triple protocol support (A2A, MCP, ACP) - Create MULTI_PROTOCOL_SUPPORT.md with comprehensive examples for all three protocols - Maintain full backward compatibility - all existing A2A/MCP functionality preserved - All tests passing - no regressions introduced This makes a2ajava the most comprehensive Java agent framework supporting: - A2A (JSON-RPC) for app-to-app communication - MCP (JSON-RPC) for LLM integration - ACP (REST) for enterprise agent orchestration Agents written with @Agent/@action annotations now work seamlessly across all three protocols. Co-Authored-By: Vishal Mysore <visrow@gmail.com>
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‎MULTI_PROTOCOL_SUPPORT.md‎

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# Multi-Protocol Support in a2ajava
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The a2ajava framework now supports three major agent protocols, making it the most comprehensive agent integration platform available:
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1. **A2A (App-to-App)** - Google's JSON-RPC based protocol
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2. **MCP (Model Context Protocol)** - LLM communication protocol
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3. **ACP (Agent Connect Protocol)** - Cisco's REST-based protocol
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## Overview
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All three protocols work seamlessly with the same underlying agent implementations using `@Agent` and `@Action` annotations. The framework automatically handles protocol translation and routing.
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## Agent Implementation
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Create agents using standard annotations that work with all protocols:
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```java
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@Agent(groupName = "customer support", groupDescription = "actions related to customer support")
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public class CustomerSupportAgent {
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@Action(description = "Create a support ticket for customer issues")
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public String createTicket(String customerName, String issue) {
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return "Ticket created for " + customerName + ": " + issue;
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}
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@Action(description = "Check the status of an existing ticket")
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public String checkTicketStatus(String ticketId) {
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return "Ticket " + ticketId + " is in progress";
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}
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}
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```
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## A2A Protocol Usage
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A2A uses JSON-RPC for communication. Here's how to interact with agents:
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### Client Example
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```java
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// A2A JSON-RPC client
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JsonRpcController controller = new JsonRpcController(applicationContext);
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// Get agent card
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AgentCard card = controller.getAgentCard();
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// Execute action
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Map<String, Object> params = Map.of(
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"customerName", "John Doe",
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"issue", "Login problem"
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);
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String result = controller.executeAction("createTicket", params);
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```
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### JSON-RPC Request
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```json
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{
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"jsonrpc": "2.0",
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"method": "createTicket",
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"params": {
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"customerName": "John Doe",
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"issue": "Login problem"
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},
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"id": 1
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}
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```
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## MCP Protocol Usage
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MCP is designed for LLM communication with structured tool calling:
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### Client Example
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```java
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// MCP client
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MCPToolsController mcpController = new MCPToolsController(applicationContext);
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// List available tools
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ListToolsResult tools = mcpController.listTools();
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// Call tool
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CallToolRequest request = new CallToolRequest();
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request.setName("createTicket");
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request.setArguments(Map.of(
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"customerName", "Jane Smith",
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"issue", "Payment issue"
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));
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CallToolResult result = mcpController.callTool(request);
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```
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### MCP Tool Call
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```json
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{
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"method": "tools/call",
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"params": {
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"name": "createTicket",
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"arguments": {
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"customerName": "Jane Smith",
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"issue": "Payment issue"
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}
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}
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}
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```
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## ACP Protocol Usage
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ACP uses REST endpoints for agent interaction:
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### Client Example
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```java
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// ACP REST client
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ACPRestController acpController = new ACPRestController(applicationContext);
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// Search agents
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AgentSearchRequest searchRequest = new AgentSearchRequest();
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searchRequest.setQuery("customer support");
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List<Agent> agents = acpController.searchAgents(searchRequest).getBody();
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// Create stateless run
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RunCreateStateless runRequest = new RunCreateStateless();
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runRequest.setAgentId(agents.get(0).getAgentId());
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runRequest.setInput(Map.of(
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"customerName", "Bob Wilson",
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"issue", "Account locked"
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));
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AgentRun run = acpController.createStatelessRun(runRequest).getBody();
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```
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### REST API Calls
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```bash
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# Search agents
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curl -X POST http://localhost:8080/acp/agents/search \
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-H "Content-Type: application/json" \
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-d '{"query": "customer support", "limit": 10}'
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# Get agent details
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curl http://localhost:8080/acp/agents/{agent-id}
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# Create stateless run
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curl -X POST http://localhost:8080/acp/runs \
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-H "Content-Type: application/json" \
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-d '{
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"agent_id": "550e8400-e29b-41d4-a716-446655440000",
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"input": {
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"customerName": "Bob Wilson",
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"issue": "Account locked"
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}
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}'
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```
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## Stateful vs Stateless Execution
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### ACP Stateful Execution with Threads
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```java
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// Create thread for stateful conversation
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Map<String, Object> metadata = Map.of("session", "customer-session-123");
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Thread thread = acpController.createThread(metadata).getBody();
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// Create stateful run
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RunCreateStateful statefulRequest = new RunCreateStateful();
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statefulRequest.setAgentId(agentId);
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statefulRequest.setThreadId(thread.getThreadId());
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statefulRequest.setInput(Map.of("customerName", "Alice Brown"));
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AgentRun run = acpController.createStatefulRun(
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thread.getThreadId(),
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statefulRequest
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).getBody();
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```
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### A2A Task-based Execution
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```java
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// A2A uses Task model for state management
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Task task = new Task();
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task.setId("task-123");
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task.setSessionId("session-456");
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// Execute with task context
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controller.executeWithTask(task, "createTicket", params);
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```
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## Protocol Comparison
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| Feature | A2A | MCP | ACP |
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|---------|-----|-----|-----|
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| Transport | JSON-RPC | JSON-RPC | REST |
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| State Management | Task-based | Stateless | Thread-based |
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| Agent Discovery | AgentCard | Tool listing | Agent search |
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| Streaming | Yes | Yes | Yes |
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| Authentication | Custom | Custom | REST standard |
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| Use Case | App integration | LLM tools | Enterprise agents |
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## Configuration
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### Spring Boot Configuration
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```java
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@Configuration
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public class MultiProtocolConfig {
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@Bean
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public JsonRpcController a2aController(ApplicationContext context) {
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return new SpringAwareJSONRpcController(context);
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}
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@Bean
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public MCPToolsController mcpController(ApplicationContext context) {
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return new SpringAwareMCPToolsController(context);
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}
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@Bean
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public ACPRestController acpController(ApplicationContext context) {
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return new SpringAwareACPController(context);
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}
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}
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```
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### Application Properties
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```properties
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# Enable all protocols
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a2a.enabled=true
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mcp.enabled=true
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acp.enabled=true
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# Protocol-specific settings
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acp.base-url=http://localhost:8080/acp
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a2a.jsonrpc.endpoint=/jsonrpc
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mcp.tools.endpoint=/mcp
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```
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## Testing All Protocols
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The framework includes comprehensive tests for all protocols:
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```java
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@Test
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void testMultiProtocolIntegration() {
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// Test A2A
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String a2aResult = a2aController.executeAction("createTicket", params);
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// Test MCP
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CallToolResult mcpResult = mcpController.callTool(mcpRequest);
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// Test ACP
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AgentRun acpResult = acpController.createStatelessRun(acpRequest).getBody();
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// All should produce equivalent results
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assertThat(a2aResult).contains("Ticket created");
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assertThat(mcpResult.getContent()).contains("Ticket created");
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assertThat(acpResult.getStatus()).isEqualTo(AgentRun.RunStatus.success);
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}
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```
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## Best Practices
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1. **Single Agent Implementation**: Write agents once using `@Agent`/`@Action` annotations
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2. **Protocol Selection**: Choose protocol based on client needs:
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- A2A for app-to-app integration
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- MCP for LLM tool calling
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- ACP for enterprise REST APIs
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3. **State Management**: Use appropriate state models for each protocol
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4. **Error Handling**: Implement consistent error handling across protocols
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5. **Testing**: Test agents with all three protocols to ensure compatibility
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## Migration Guide
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### From A2A-only to Multi-Protocol
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1. Add ACP and MCP dependencies to `pom.xml`
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2. Configure additional controllers in Spring
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3. Existing `@Agent`/`@Action` code works unchanged
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4. Add protocol-specific endpoints as needed
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### Protocol-Specific Considerations
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- **A2A**: Maintains backward compatibility
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- **MCP**: Requires tool schema definitions
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- **ACP**: Needs REST endpoint configuration
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## Conclusion
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The a2ajava framework's multi-protocol support enables seamless agent integration across different ecosystems. Whether you're building LLM tools, enterprise APIs, or app integrations, a single agent implementation works across all three major protocols.
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For more examples and detailed API documentation, see the individual protocol documentation in the `/docs` directory.

‎README.MD‎

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# Java Implementation of Google's A2A Protocol: Connecting the Agentverse
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This project provides a Java implementation for both an A2A (Agent-to-Agent) server and client.
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**A2A is an open protocol developed by Google** to standardize how AI agents communicate and exchange information, fostering a vibrant ecosystem of interoperable AI. This api also supports building MCP Servers in Java with use of simple annotations. Imagine a world where diverse AI agents, built with different tools and by different creators, can seamlessly collaborate to solve complex problems - that's the vision A2A is bringing to life. This implementation demonstrates how to set up this communication in Java, using the Spring Framework, with a focus on sending and retrieving tasks.
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a2ajava is a Swiss Army knife for building agentic applications. It is multi-protocol — works seamlessly with both A2A (Agent-to-Agent) and MCP (Model Context Protocol). It is multi-language — supports Java, Kotlin, and Groovy. It is multi-platform — compatible with Gemini, OpenAI, Claude, and Grok. It is multi-client — includes A2A and MCP clients with connectors in Java, Node, and Python. It offers multi-integration — out-of-the-box support for Selenium, human-in-the-loop workflows, and multi-LLM voting for consensus-based decision making. Agents built using the A2A protocol with a2ajava run seamlessly on MCP as well, ensuring maximum interoperability across platforms.
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This project provides a Java implementation for A2A (Agent-to-Agent), MCP (Model Context Protocol), and ACP (Agent Connect Protocol) servers and clients.
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**A2A is an open protocol developed by Google** to standardize how AI agents communicate and exchange information, fostering a vibrant ecosystem of interoperable AI. This api also supports building MCP Servers and ACP agents in Java with use of simple annotations. Imagine a world where diverse AI agents, built with different tools and by different creators, can seamlessly collaborate to solve complex problems - that's the vision these protocols are bringing to life. This implementation demonstrates how to set up this communication in Java, using the Spring Framework, with a focus on sending and retrieving tasks.
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a2ajava is a Swiss Army knife for building agentic applications. It is multi-protocol — works seamlessly with A2A (Agent-to-Agent), MCP (Model Context Protocol), and ACP (Agent Connect Protocol). It is multi-language — supports Java, Kotlin, and Groovy. It is multi-platform — compatible with Gemini, OpenAI, Claude, and Grok. It is multi-client — includes A2A, MCP, and ACP clients with connectors in Java, Node, and Python. It offers multi-integration — out-of-the-box support for Selenium, human-in-the-loop workflows, and multi-LLM voting for consensus-based decision making. Agents built using any protocol with a2ajava run seamlessly on all three protocols, ensuring maximum interoperability across platforms.
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[![Need More Info? Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/vishalmysore/a2ajava) [![codecov](https://codecov.io/gh/vishalmysore/a2ajava/graph/badge.svg?token=HieisRv0xC)](https://codecov.io/gh/vishalmysore/a2ajava)
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<a target="_blank" href="https://sonarcloud.io/summary/new_code?id=vishalmysore_a2ajava"><img src="https://sonarcloud.io/api/project_badges/measure?project=vishalmysore_a2ajava&metric=alert_status"/></a>
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## Whats so special about A2AJava library?
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You can simple annotate your classes with @Agent and @Action and build a server. The library will take care of the rest. You can also use this library to build a client to send and receive messages from the server. The library is built on top of Spring Boot and uses Jackson for JSON serialization/deserialization. The library is designed to be easy to use and extend, so you can build your own agents quickly and easily.
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ALl methods annotated with @Action are exposed as A2A tasks and also MCP tools you dont need to do anything .
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All methods annotated with @Action are exposed as A2A tasks, MCP tools, and ACP runs - you don't need to do anything extra.
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Infuse AI in any running application
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You can convert you entire springboot based application into a2a and mcp compliant agent by using these 4 annotations:
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You can convert your entire springboot based application into A2A, MCP, and ACP compliant agent by using these 4 annotations:
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```java
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1 @EnableAgent - converts your springboot application into an A2A agent
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2 @EnabaleAgentSecurity- adds security features to your agent
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1 @EnableAgent - converts your springboot application into an A2A/MCP/ACP agent
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2 @EnableAgentSecurity - adds security features to your agent
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3 @Agent(groupName = "", groupDescription = "") - creates an agent group
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4 @Action(description = "") - creates an action within the agent group
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* The A2A and MCP protocol is an evolving standard, and this implementation may need to be updated as the protocols matures. Always refer to the official A2A documentation for the latest specifications and best practices.
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* This implementation is not affiliated with or endorsed by Google or Anthropic. It is my independent effort to demonstrate the A2A and MCP protocol in Java.
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* Unit test coverage needs to be enhanced , will be working on it
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* Unit test coverage needs to be enhanced , will be working on it
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‎pom.xml‎

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<properties>
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<maven.compiler.source>18</maven.compiler.source>
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<maven.compiler.target>18</maven.compiler.target>
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<maven.compiler.source>17</maven.compiler.source>
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<maven.compiler.target>17</maven.compiler.target>
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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<langchain4j.version>0.29.1</langchain4j.version>
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<slf4j.version>2.0.16</slf4j.version>
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<version>5.0.0</version> <!-- Replace with the latest version -->
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter-web</artifactId>
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<version>3.2.0</version>
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</dependency>
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<dependency>
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<groupId>org.springframework.boot</groupId>
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</plugin>
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<plugin>
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<version>3.0.0-M9</version>
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</project>

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