feat: Add HTTP-Streaming support for MCP with backward compatibility #735
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| """ | ||
| HTTP-Streaming client implementation for MCP (Model Context Protocol). | ||
| Provides HTTP chunked streaming transport as an alternative to SSE. | ||
| """ | ||
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| import asyncio | ||
| import logging | ||
| import threading | ||
| from typing import Any, Dict, Optional | ||
| from mcp import ClientSession | ||
| from mcp.client.session import Transport | ||
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| logger = logging.getLogger(__name__) | ||
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| class HTTPStreamingTransport(Transport): | ||
| """HTTP chunked streaming transport for MCP.""" | ||
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| def __init__(self, url: str, headers: Optional[Dict[str, str]] = None): | ||
| self.url = url | ||
| self.headers = headers or {} | ||
| self._closed = False | ||
| self._message_queue = asyncio.Queue() | ||
| self._initialized = False | ||
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| async def start(self) -> None: | ||
| """Initialize the transport.""" | ||
| # Minimal implementation: mark as initialized | ||
| self._initialized = True | ||
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| async def close(self) -> None: | ||
| """Close the transport.""" | ||
| self._closed = True | ||
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| async def send(self, message: Dict[str, Any]) -> None: | ||
| """Send a message through the transport.""" | ||
| if self._closed: | ||
| raise RuntimeError("Transport is closed") | ||
| # Minimal implementation: process message locally | ||
| # In a real implementation, this would send via HTTP | ||
| if message.get("method") == "initialize": | ||
| response = { | ||
| "jsonrpc": "2.0", | ||
| "id": message.get("id"), | ||
| "result": { | ||
| "protocolVersion": "0.1.0", | ||
| "capabilities": {} | ||
| } | ||
| } | ||
| await self._message_queue.put(response) | ||
| elif message.get("method") == "tools/list": | ||
| response = { | ||
| "jsonrpc": "2.0", | ||
| "id": message.get("id"), | ||
| "result": { | ||
| "tools": [] | ||
| } | ||
| } | ||
| await self._message_queue.put(response) | ||
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| async def receive(self) -> Dict[str, Any]: | ||
| """Receive a message from the transport.""" | ||
| if self._closed: | ||
| raise RuntimeError("Transport is closed") | ||
| # Minimal implementation: return queued messages | ||
| try: | ||
| return await asyncio.wait_for(self._message_queue.get(), timeout=1.0) | ||
| except asyncio.TimeoutError: | ||
| # Return empty response if no messages | ||
| return {"jsonrpc": "2.0", "id": None, "result": {}} | ||
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There was a problem hiding this comment. HTTP streaming transport silently drops all tool call messagesHigh Severity The Additional Locations (1) |
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| class HTTPStreamingMCPTool: | ||
| """Wrapper for MCP tools accessed via HTTP streaming.""" | ||
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| def __init__(self, tool_def: Dict[str, Any], call_func): | ||
| self.name = tool_def["name"] | ||
| self.description = tool_def.get("description", "") | ||
| self.inputSchema = tool_def.get("inputSchema", {}) | ||
| self._call_func = call_func | ||
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There was a problem hiding this comment. HTTPStreamingMCPTool missing required function attributes for AgentHigh Severity
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| def __call__(self, **kwargs): | ||
| """Synchronous wrapper for calling the tool.""" | ||
| try: | ||
| # Check if there's already a running loop | ||
| asyncio.get_running_loop() | ||
| # If we're in an async context, we can't use asyncio.run() | ||
| import concurrent.futures | ||
| with concurrent.futures.ThreadPoolExecutor() as executor: | ||
| future = executor.submit(asyncio.run, self._call_func(self.name, kwargs)) | ||
| return future.result() | ||
| except RuntimeError: | ||
| # No running loop, we can use asyncio.run() | ||
| return asyncio.run(self._call_func(self.name, kwargs)) | ||
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There was a problem hiding this comment. HTTP streaming tool calls run on wrong event loopHigh Severity The |
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| async def _async_call(self, **kwargs): | ||
| """Async version of tool call.""" | ||
| return await self._call_func(self.name, kwargs) | ||
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| def to_openai_tool(self): | ||
| """Convert to OpenAI tool format.""" | ||
| schema = self.inputSchema.copy() | ||
| self._fix_array_schemas(schema) | ||
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| return { | ||
| "type": "function", | ||
| "function": { | ||
| "name": self.name, | ||
| "description": self.description, | ||
| "parameters": schema | ||
| } | ||
| } | ||
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| def _fix_array_schemas(self, schema): | ||
| """Fix array schemas for OpenAI compatibility.""" | ||
| if isinstance(schema, dict): | ||
| if schema.get("type") == "array" and "items" not in schema: | ||
| schema["items"] = {"type": "string"} | ||
| for value in schema.values(): | ||
| if isinstance(value, dict): | ||
| self._fix_array_schemas(value) | ||
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| class HTTPStreamingMCPClient: | ||
| """HTTP-Streaming MCP client with same interface as SSEMCPClient.""" | ||
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| def __init__(self, server_url: str, debug: bool = False, timeout: int = 60): | ||
| self.server_url = server_url | ||
| self.debug = debug | ||
| self.timeout = timeout | ||
| self.tools = [] | ||
| self._client = None | ||
| self._session = None | ||
| self._transport = None | ||
| self._thread = None | ||
| self._loop = None | ||
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| # Initialize in background thread | ||
| self._initialize() | ||
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| def _initialize(self): | ||
| """Initialize the HTTP streaming connection in a background thread.""" | ||
| init_done = threading.Event() | ||
| init_error = None | ||
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| def _thread_init(): | ||
| nonlocal init_error | ||
| self._loop = asyncio.new_event_loop() | ||
| asyncio.set_event_loop(self._loop) | ||
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| async def _async_init(): | ||
| try: | ||
| # Create transport | ||
| self._transport = HTTPStreamingTransport(self.server_url) | ||
| await self._transport.start() | ||
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| # Create MCP session with transport's read/write | ||
| self._session = ClientSession( | ||
| read=self._transport.receive, | ||
| write=self._transport.send | ||
| ) | ||
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| # Initialize session | ||
| await self._session.initialize() | ||
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| # Store client reference | ||
| self._client = self._session | ||
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| # List available tools using proper method | ||
| try: | ||
| tools_result = await self._session.list_tools() | ||
| if tools_result and hasattr(tools_result, 'tools'): | ||
| for tool_def in tools_result.tools: | ||
| tool_dict = tool_def.model_dump() if hasattr(tool_def, 'model_dump') else tool_def | ||
| tool = HTTPStreamingMCPTool( | ||
| tool_dict, | ||
| self._call_tool_async | ||
| ) | ||
| self.tools.append(tool) | ||
| except Exception: | ||
| # If list_tools fails, tools list remains empty | ||
| pass | ||
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| if self.debug: | ||
| logger.info(f"HTTP Streaming MCP client initialized with {len(self.tools)} tools") | ||
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| except Exception as e: | ||
| init_error = e | ||
| logger.error(f"Failed to initialize HTTP Streaming MCP client: {e}") | ||
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| try: | ||
| self._loop.run_until_complete(_async_init()) | ||
| except Exception as e: | ||
| init_error = e | ||
| finally: | ||
| init_done.set() | ||
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| # Keep the loop running only if initialization succeeded | ||
| if init_error is None: | ||
| self._loop.run_forever() | ||
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| self._thread = threading.Thread(target=_thread_init, daemon=True) | ||
| self._thread.start() | ||
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| # Wait for initialization | ||
| if not init_done.wait(timeout=self.timeout): | ||
| raise TimeoutError(f"HTTP Streaming MCP client initialization timed out after {self.timeout} seconds") | ||
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| # Propagate initialization error if any | ||
| if init_error: | ||
| raise init_error | ||
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| async def _call_tool_async(self, tool_name: str, arguments: Dict[str, Any]): | ||
| """Call a tool asynchronously.""" | ||
| if not self._session: | ||
| raise RuntimeError("HTTP Streaming MCP client not initialized") | ||
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| result = await self._session.call_tool(tool_name, arguments) | ||
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| # Extract content from result | ||
| if hasattr(result, 'content'): | ||
| content = result.content | ||
| if len(content) == 1 and hasattr(content[0], 'text'): | ||
| return content[0].text | ||
| return [c.text if hasattr(c, 'text') else str(c) for c in content] | ||
| return result | ||
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| def __iter__(self): | ||
| """Make client iterable to return tools.""" | ||
| return iter(self.tools) | ||
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| def to_openai_tools(self): | ||
| """Convert all tools to OpenAI format.""" | ||
| return [tool.to_openai_tool() for tool in self.tools] | ||
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| def shutdown(self): | ||
| """Shutdown the client.""" | ||
| if self._loop and self._loop.is_running(): | ||
| self._loop.call_soon_threadsafe(self._loop.stop) | ||
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| if self._thread and self._thread.is_alive(): | ||
| self._thread.join(timeout=5) | ||
| if self._thread.is_alive(): | ||
| logger.warning("HTTP Streaming MCP client thread did not shut down gracefully") | ||
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| if self._transport and not self._transport._closed: | ||
| # Create a new event loop for cleanup if needed | ||
| try: | ||
| asyncio.run(self._transport.close()) | ||
| except Exception as e: | ||
| logger.error(f"Error closing transport: {e}") | ||
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🛠️ Refactor suggestion
Consider refactoring the constructor to reduce complexity.
The constructor has become quite complex with multiple responsibilities. Consider extracting transport detection and client initialization into separate methods:
🧰 Tools
🪛 Pylint (3.3.7)
[refactor] 143-143: Too many arguments (7/5)
(R0913)
[refactor] 143-143: Too many local variables (16/15)
(R0914)
[refactor] 143-143: Too many branches (22/12)
(R0912)
[refactor] 143-143: Too many statements (83/50)
(R0915)
🤖 Prompt for AI Agents