diff --git a/examples/workflows/workflow_orchestrator_worker/README.md b/examples/workflows/workflow_orchestrator_worker/README.md
index e623d98c3..25da21361 100644
--- a/examples/workflows/workflow_orchestrator_worker/README.md
+++ b/examples/workflows/workflow_orchestrator_worker/README.md
@@ -66,3 +66,68 @@ Run your MCP Agent app:
 ```bash
 uv run main.py
 ```
+
+
+## `4` [Beta] Deploy to the cloud
+
+### `a.` Log in to [MCP Agent Cloud](https://docs.mcp-agent.com/cloud/overview)
+
+```bash
+uv run mcp-agent login
+```
+
+### `b.` Update your `mcp_agent.secrets.yaml` to mark your developer secrets (keys)
+
+```yaml
+openai:
+  api_key: !developer_secret
+anthropic:
+  api_key: !developer_secret
+# Other secrets as needed
+```
+
+### `c.` Deploy your agent with a single command
+```bash
+uv run mcp-agent deploy workflow-orchestrator-server
+```
+
+### `d.` Connect to your deployed agent as an MCP server through any MCP client
+
+#### Claude Desktop Integration
+
+Configure Claude Desktop to access your agent servers by updating your `~/.claude-desktop/config.json`:
+
+```json
+"my-agent-server": {
+  "command": "/path/to/npx",
+  "args": [
+    "mcp-remote",
+    "https://[your-agent-server-id].deployments.mcp-agent-cloud.lastmileai.dev/sse",
+    "--header",
+    "Authorization: Bearer ${BEARER_TOKEN}"
+  ],
+  "env": {
+        "BEARER_TOKEN": "your-mcp-agent-cloud-api-token"
+      }
+}
+```
+
+#### MCP Inspector
+
+Use MCP Inspector to explore and test your agent servers:
+
+```bash
+npx @modelcontextprotocol/inspector 
+```
+
+Make sure to fill out the following settings:
+
+| Setting | Value | 
+|---|---|
+| *Transport Type* | *SSE* |
+| *SSE* | *https://[your-agent-server-id].deployments.mcp-agent-cloud.lastmileai.dev/sse* |
+| *Header Name* | *Authorization* | 
+| *Bearer Token* | *your-mcp-agent-cloud-api-token* |
+
+> [!TIP]
+> In the Configuration, change the request timeout to a longer time period. Since your agents are making LLM calls, it is expected that it should take longer than simple API calls.
diff --git a/examples/workflows/workflow_orchestrator_worker/main.py b/examples/workflows/workflow_orchestrator_worker/main.py
index 71f41c2f7..092057d72 100644
--- a/examples/workflows/workflow_orchestrator_worker/main.py
+++ b/examples/workflows/workflow_orchestrator_worker/main.py
@@ -89,8 +89,14 @@
 
 app = MCPApp(name="assignment_grader_orchestrator")
 
-
-async def example_usage():
+@app.tool
+async def example_usage()->str:
+    '''
+    this example function/tool call will use an orchestrator workflow
+    to dynamically plan and execute across a number of agents to grade
+    a short story.
+    '''
+    result=""
     async with app.run() as orchestrator_app:
         logger = orchestrator_app.logger
 
@@ -177,6 +183,7 @@ async def example_usage():
         summary = await orchestrator_app.get_token_summary()
         print(f"\nTotal Cost: ${summary.cost:.4f}")
         print("=" * 60)
+    return result
 
 
 def display_node_tree(