Add example for usage and update README

README.md

@@ -6,6 +6,12 @@ A [Model Context Protocol](https://www.anthropic.com/news/model-context-protocol
 ### Manage your RabbitMQ message brokers using AI agent
 This MCP servers wraps admin APIs of a RabbitMQ broker as MCP tools.
 
+### Connect to multiple brokers in one session
+Supports connecting to multiple RabbitMQ brokers within a single session, allowing you to manage multiple clusters simultaneously.
+
+### OAuth authentication support
+Connect to RabbitMQ brokers using OAuth tokens for secure, token-based authentication.
+
 ### Supports streamable HTTP with FastMCP's `BearerAuthProvider`
 You can start a remote RabbitMQ MCP server by configuring your own IdP and 3rd party authorization provider.
 
@@ -56,7 +62,40 @@ Use uvx directly in your MCP client config
 ```
 
 ### Configuration
-`--allow-mutative-tools`: if specificy, it will enable tools that can mutate broker states. Default is false.
+`--allow-mutative-tools`: if specified, it will enable tools that can mutate broker states. Default is false.
+
+## Usage Examples
+
+### Strands Agent Example
+
+See [example/agent_strands](example/agent_strands) for a complete example of using the RabbitMQ MCP server with Strands AI agents.
+
+```python
+from mcp import stdio_client, StdioServerParameters
+from strands import Agent
+from strands.tools.mcp import MCPClient
+
+stdio_mcp_client = MCPClient(lambda: stdio_client(
+    StdioServerParameters(
+        command="uvx",
+        args=["amq-mcp-server-rabbitmq@latest"]
+    )
+))
+
+with stdio_mcp_client:
+    tools = stdio_mcp_client.list_tools_sync()
+    agent = Agent(tools=tools)
+
+    while True:
+        user_input = input("\nYou: ").strip()
+        if not user_input or user_input.lower() in ["exit", "quit"]:
+            break
+        agent(user_input)
+```
+
+### Amazon Q Developer CLI Example
+
+See [example/amazon_q_cli](example/amazon_q_cli) for configuration examples with Amazon Q Developer CLI.
 
 ## Development
 

example/agent_strands/.python-version

@@ -0,0 +1 @@
+3.13

example/agent_strands/agent.py

@@ -0,0 +1,25 @@
+"""Strands agent that uses RabbitMQ MCP server via stdio."""
+
+from mcp import StdioServerParameters, stdio_client
+from strands import Agent
+from strands.tools.mcp import MCPClient
+
+# Connect to RabbitMQ MCP server using stdio transport
+stdio_mcp_client = MCPClient(
+    lambda: stdio_client(
+        StdioServerParameters(
+            command="/Users/qrl/.local/bin/uvx", args=["amq-mcp-server-rabbitmq@latest"]
+        )
+    )
+)
+
+# Create an agent with MCP tools
+with stdio_mcp_client:
+    tools = stdio_mcp_client.list_tools_sync()
+    agent = Agent(tools=tools)
+    agent("what can you do?")
+    while True:
+        user_input = input("\nYou: ").strip()
+        if not user_input or user_input.lower() in ["exit", "quit"]:
+            break
+        agent(user_input)

example/agent_strands/pyproject.toml

@@ -0,0 +1,9 @@
+[project]
+name = "rabbitmq-strands-agent"
+version = "0.1.0"
+description = "Strands agent for RabbitMQ MCP server"
+requires-python = ">=3.10"
+dependencies = [
+    "strands-agents>=1.12.0",
+    "mcp>=1.0.0",
+]

example/amazon_q_cli/sample_agent.json

@@ -5,13 +5,9 @@
   "prompt": null,
   "mcpServers": {
     "rabbitmq": {
-      "command": "/Users/qrl/.local/bin/uv",
+      "command": "/Users/qrl/.local/bin/uvx",
       "args": [
-          "--directory",
-          "/Users/qrl/amzn/personal_workspace/amazon_mq_github/mcp-server-rabbitmq",
-          "run",
-          "mcp-server-rabbitmq",
-          "--allow-mutative-tools"
+          "amq-mcp-server-rabbitmq@latest"
       ]
     }
   },

pyproject.toml

@@ -49,6 +49,9 @@ packages = ["src"]
 [tool.uv]
 dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3", "pytest>=8.3.5"]
 
+[tool.uv.workspace]
+members = ["example/agent_strands"]
+
 [tool.ruff]
 line-length = 99
 target-version = "py310"