chore: import upstream snapshot with attribution

examples/servers/sse-polling-demo/README.md

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+# MCP SSE Polling Demo Server
+
+Demonstrates the SSE polling pattern with server-initiated stream close for long-running tasks (SEP-1699).
+
+## Features
+
+- Priming events (automatic with EventStore)
+- Server-initiated stream close via `close_sse_stream()` callback
+- Client auto-reconnect with Last-Event-ID
+- Progress notifications during long-running tasks
+- Configurable retry interval
+
+## Usage
+
+```bash
+# Start server on default port
+uv run mcp-sse-polling-demo --port 3000
+
+# Custom retry interval (milliseconds)
+uv run mcp-sse-polling-demo --port 3000 --retry-interval 100
+```
+
+## Tool: process_batch
+
+Processes items with periodic checkpoints that trigger SSE stream closes:
+
+- `items`: Number of items to process (1-100, default: 10)
+- `checkpoint_every`: Close stream after this many items (1-20, default: 3)
+
+## Client
+
+Use the companion `mcp-sse-polling-client` to test:
+
+```bash
+uv run mcp-sse-polling-client --url http://localhost:3000/mcp
+```

examples/servers/sse-polling-demo/mcp_sse_polling_demo/__init__.py

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+"""SSE Polling Demo Server - demonstrates close_sse_stream for long-running tasks."""

examples/servers/sse-polling-demo/mcp_sse_polling_demo/__main__.py

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+"""Entry point for the SSE Polling Demo server."""
+
+from .server import main
+
+if __name__ == "__main__":
+    main()

examples/servers/sse-polling-demo/mcp_sse_polling_demo/event_store.py

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+"""In-memory event store for demonstrating resumability functionality.
+
+This is a simple implementation intended for examples and testing,
+not for production use where a persistent storage solution would be more appropriate.
+"""
+
+import logging
+from collections import deque
+from dataclasses import dataclass
+from uuid import uuid4
+
+from mcp.server.streamable_http import EventCallback, EventId, EventMessage, EventStore, StreamId
+from mcp_types import JSONRPCMessage
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class EventEntry:
+    """Represents an event entry in the event store."""
+
+    event_id: EventId
+    stream_id: StreamId
+    message: JSONRPCMessage | None  # None for priming events
+
+
+class InMemoryEventStore(EventStore):
+    """Simple in-memory implementation of the EventStore interface for resumability.
+    This is primarily intended for examples and testing, not for production use
+    where a persistent storage solution would be more appropriate.
+
+    This implementation keeps only the last N events per stream for memory efficiency.
+    """
+
+    def __init__(self, max_events_per_stream: int = 100):
+        """Initialize the event store.
+
+        Args:
+            max_events_per_stream: Maximum number of events to keep per stream
+        """
+        self.max_events_per_stream = max_events_per_stream
+        # for maintaining last N events per stream
+        self.streams: dict[StreamId, deque[EventEntry]] = {}
+        # event_id -> EventEntry for quick lookup
+        self.event_index: dict[EventId, EventEntry] = {}
+
+    async def store_event(self, stream_id: StreamId, message: JSONRPCMessage | None) -> EventId:
+        """Stores an event with a generated event ID.
+
+        Args:
+            stream_id: ID of the stream the event belongs to
+            message: The message to store, or None for priming events
+        """
+        event_id = str(uuid4())
+        event_entry = EventEntry(event_id=event_id, stream_id=stream_id, message=message)
+
+        # Get or create deque for this stream
+        if stream_id not in self.streams:
+            self.streams[stream_id] = deque(maxlen=self.max_events_per_stream)
+
+        # If deque is full, the oldest event will be automatically removed
+        # We need to remove it from the event_index as well
+        if len(self.streams[stream_id]) == self.max_events_per_stream:
+            oldest_event = self.streams[stream_id][0]
+            self.event_index.pop(oldest_event.event_id, None)
+
+        # Add new event
+        self.streams[stream_id].append(event_entry)
+        self.event_index[event_id] = event_entry
+
+        return event_id
+
+    async def replay_events_after(
+        self,
+        last_event_id: EventId,
+        send_callback: EventCallback,
+    ) -> StreamId | None:
+        """Replays events that occurred after the specified event ID."""
+        if last_event_id not in self.event_index:
+            logger.warning(f"Event ID {last_event_id} not found in store")
+            return None
+
+        # Get the stream and find events after the last one
+        last_event = self.event_index[last_event_id]
+        stream_id = last_event.stream_id
+        stream_events = self.streams.get(last_event.stream_id, deque())
+
+        # Events in deque are already in chronological order
+        found_last = False
+        for event in stream_events:
+            if found_last:
+                # Skip priming events (None messages) during replay
+                if event.message is not None:
+                    await send_callback(EventMessage(event.message, event.event_id))
+            elif event.event_id == last_event_id:
+                found_last = True
+
+        return stream_id

examples/servers/sse-polling-demo/mcp_sse_polling_demo/server.py

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+"""SSE Polling Demo Server
+
+Demonstrates the SSE polling pattern with close_sse_stream() for long-running tasks.
+
+Features demonstrated:
+- Priming events (automatic with EventStore)
+- Server-initiated stream close via close_sse_stream callback
+- Client auto-reconnect with Last-Event-ID
+- Progress notifications during long-running tasks
+
+Run with:
+    uv run mcp-sse-polling-demo --port 3000
+"""
+
+import logging
+
+import anyio
+import click
+import mcp_types as types
+import uvicorn
+from mcp.server import Server, ServerRequestContext
+
+from .event_store import InMemoryEventStore
+
+logger = logging.getLogger(__name__)
+
+
+async def handle_list_tools(
+    ctx: ServerRequestContext, params: types.PaginatedRequestParams | None
+) -> types.ListToolsResult:
+    """List available tools."""
+    return types.ListToolsResult(
+        tools=[
+            types.Tool(
+                name="process_batch",
+                description=(
+                    "Process a batch of items with periodic checkpoints. "
+                    "Demonstrates SSE polling where server closes stream periodically."
+                ),
+                input_schema={
+                    "type": "object",
+                    "properties": {
+                        "items": {
+                            "type": "integer",
+                            "description": "Number of items to process (1-100)",
+                            "default": 10,
+                        },
+                        "checkpoint_every": {
+                            "type": "integer",
+                            "description": "Close stream after this many items (1-20)",
+                            "default": 3,
+                        },
+                    },
+                },
+            )
+        ]
+    )
+
+
+async def handle_call_tool(ctx: ServerRequestContext, params: types.CallToolRequestParams) -> types.CallToolResult:
+    """Handle tool calls."""
+    arguments = params.arguments or {}
+
+    if params.name == "process_batch":
+        items = arguments.get("items", 10)
+        checkpoint_every = arguments.get("checkpoint_every", 3)
+
+        if items < 1 or items > 100:
+            return types.CallToolResult(
+                content=[types.TextContent(type="text", text="Error: items must be between 1 and 100")]
+            )
+        if checkpoint_every < 1 or checkpoint_every > 20:
+            return types.CallToolResult(
+                content=[types.TextContent(type="text", text="Error: checkpoint_every must be between 1 and 20")]
+            )
+
+        await ctx.session.send_log_message(  # pyright: ignore[reportDeprecated]
+            level="info",
+            data=f"Starting batch processing of {items} items...",
+            logger="process_batch",
+            related_request_id=ctx.request_id,
+        )
+
+        for i in range(1, items + 1):
+            # Simulate work
+            await anyio.sleep(0.5)
+
+            # Report progress
+            await ctx.session.send_log_message(  # pyright: ignore[reportDeprecated]
+                level="info",
+                data=f"[{i}/{items}] Processing item {i}",
+                logger="process_batch",
+                related_request_id=ctx.request_id,
+            )
+
+            # Checkpoint: close stream to trigger client reconnect
+            if i % checkpoint_every == 0 and i < items:
+                await ctx.session.send_log_message(  # pyright: ignore[reportDeprecated]
+                    level="info",
+                    data=f"Checkpoint at item {i} - closing SSE stream for polling",
+                    logger="process_batch",
+                    related_request_id=ctx.request_id,
+                )
+                if ctx.close_sse_stream:
+                    logger.info(f"Closing SSE stream at checkpoint {i}")
+                    await ctx.close_sse_stream()
+                # Wait for client to reconnect (must be > retry_interval of 100ms)
+                await anyio.sleep(0.2)
+
+        return types.CallToolResult(
+            content=[
+                types.TextContent(
+                    type="text",
+                    text=f"Successfully processed {items} items with checkpoints every {checkpoint_every} items",
+                )
+            ]
+        )
+
+    return types.CallToolResult(content=[types.TextContent(type="text", text=f"Unknown tool: {params.name}")])
+
+
+@click.command()
+@click.option("--port", default=3000, help="Port to listen on")
+@click.option(
+    "--log-level",
+    default="INFO",
+    help="Logging level (DEBUG, INFO, WARNING, ERROR)",
+)
+@click.option(
+    "--retry-interval",
+    default=100,
+    help="SSE retry interval in milliseconds (sent to client)",
+)
+def main(port: int, log_level: str, retry_interval: int) -> int:
+    """Run the SSE Polling Demo server."""
+    logging.basicConfig(
+        level=getattr(logging, log_level.upper()),
+        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+    )
+
+    app = Server(
+        "sse-polling-demo",
+        on_list_tools=handle_list_tools,
+        on_call_tool=handle_call_tool,
+    )
+
+    starlette_app = app.streamable_http_app(
+        event_store=InMemoryEventStore(),
+        retry_interval=retry_interval,
+        debug=True,
+    )
+
+    logger.info(f"SSE Polling Demo server starting on port {port}")
+    logger.info("Try: POST /mcp with tools/call for 'process_batch'")
+    uvicorn.run(starlette_app, host="127.0.0.1", port=port)
+    return 0
+
+
+if __name__ == "__main__":
+    main()

examples/servers/sse-polling-demo/pyproject.toml

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+[project]
+name = "mcp-sse-polling-demo"
+version = "0.1.0"
+description = "Demo server showing SSE polling with close_sse_stream for long-running tasks"
+readme = "README.md"
+requires-python = ">=3.10"
+authors = [{ name = "Model Context Protocol a Series of LF Projects, LLC." }]
+keywords = ["mcp", "sse", "polling", "streamable", "http"]
+license = { text = "MIT" }
+dependencies = ["anyio>=4.5", "click>=8.2.0", "httpx>=0.27", "mcp", "starlette", "uvicorn"]
+
+[project.scripts]
+mcp-sse-polling-demo = "mcp_sse_polling_demo.server:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["mcp_sse_polling_demo"]
+
+[tool.pyright]
+include = ["mcp_sse_polling_demo"]
+venvPath = "."
+venv = ".venv"
+
+[tool.ruff.lint]
+select = ["E", "F", "I"]
+ignore = []
+
+[tool.ruff]
+line-length = 120
+target-version = "py310"
+
+[dependency-groups]
+dev = ["pyright>=1.1.378", "pytest>=8.3.3", "ruff>=0.6.9"]