chore: import upstream snapshot with attribution

examples/snippets/clients/stdio_client.py

@@ -0,0 +1,82 @@
+"""cd to the `examples/snippets/clients` directory and run:
+uv run client
+"""
+
+import asyncio
+import os
+
+import mcp_types as types
+
+from mcp import ClientSession, StdioServerParameters
+from mcp.client.context import ClientRequestContext
+from mcp.client.stdio import stdio_client
+
+# Create server parameters for stdio connection
+server_params = StdioServerParameters(
+    command="uv",  # Using uv to run the server
+    args=["run", "server", "mcpserver_quickstart", "stdio"],  # We're already in snippets dir
+    env={"UV_INDEX": os.environ.get("UV_INDEX", "")},
+)
+
+
+# Optional: create a sampling callback
+async def handle_sampling_message(
+    context: ClientRequestContext, params: types.CreateMessageRequestParams
+) -> types.CreateMessageResult:
+    print(f"Sampling request: {params.messages}")
+    return types.CreateMessageResult(
+        role="assistant",
+        content=types.TextContent(
+            type="text",
+            text="Hello, world! from model",
+        ),
+        model="gpt-3.5-turbo",
+        stop_reason="endTurn",
+    )
+
+
+async def run():
+    async with stdio_client(server_params) as (read, write):
+        async with ClientSession(read, write, sampling_callback=handle_sampling_message) as session:
+            # Initialize the connection
+            await session.initialize()
+
+            # List available prompts
+            prompts = await session.list_prompts()
+            print(f"Available prompts: {[p.name for p in prompts.prompts]}")
+
+            # Get a prompt (greet_user prompt from mcpserver_quickstart)
+            if prompts.prompts:
+                prompt = await session.get_prompt("greet_user", arguments={"name": "Alice", "style": "friendly"})
+                print(f"Prompt result: {prompt.messages[0].content}")
+
+            # List available resources
+            resources = await session.list_resources()
+            print(f"Available resources: {[r.uri for r in resources.resources]}")
+
+            # List available tools
+            tools = await session.list_tools()
+            print(f"Available tools: {[t.name for t in tools.tools]}")
+
+            # Read a resource (greeting resource from mcpserver_quickstart)
+            resource_content = await session.read_resource("greeting://World")
+            content_block = resource_content.contents[0]
+            if isinstance(content_block, types.TextResourceContents):
+                print(f"Resource content: {content_block.text}")
+
+            # Call a tool (add tool from mcpserver_quickstart)
+            result = await session.call_tool("add", arguments={"a": 5, "b": 3})
+            result_unstructured = result.content[0]
+            if isinstance(result_unstructured, types.TextContent):
+                print(f"Tool result: {result_unstructured.text}")
+            result_structured = result.structured_content
+            print(f"Structured tool result: {result_structured}")
+
+
+def main():
+    """Entry point for the client script."""
+    asyncio.run(run())
+
+
+if __name__ == "__main__":
+    main()