modelcontextprotocol / modelcontextprotocol/python-sdk
[Feature] De-couple Starlette from FastMCP to make it easier to implement MCP endpoints in other frameworks
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- 主要語言
- Python
- 星號
- 24.3k
- 分支
- 4k
- 平均合併
- 1 天 1 小時
- 30 天內合併 PR
- 31
描述
If someone wanted to implement an MCP server in another framework such as Django or some other ASGI implementation, one would have to use the mcp.server.lowlevel.Server class and implement handlers for the low-level server. This means we have to sacrifice a ton of functionality from FastMCP that really has nothing to do with the python server backend. For example tool/resource/prompt managers, decorators, etc would have to be re-impemented.
It seems that these features of FastMCP could be decoupled in to a base class or mixin that handles all the tool/resource/prompt management & decorators, as well as the integration with the low-level Server. You could then extend that class to implement your own server with all the routing and request/response logic.
The proposed base class would have minimal dependencies on these framework-specific concerns:
Base Class Dependencies:
- MCPServer from mcp.server.lowlevel.server
- Tool/Resource/Prompt managers
- Basic handler methods (list_tools, call_tool, etc.)
- The decorators (@tool, @resource, @prompt)
Server-specific Responsibilities:
- Settings handling (Settings class with HTTP config)
- Transport logic (stdio vs SSE)
- Routing (custom_route, Starlette routing)
class FastMCPBase:
"""Base class or mixin with tool/resource/prompt management and core handlers"""
def __init__(self, name: str, instructions: str = None):
self._mcp_server = MCPServer(name=name, instructions=instructions)
self._tool_manager = ToolManager()
self._resource_manager = ResourceManager()
self._prompt_manager = PromptManager()
self._setup_handlers()
# All the @tool, @resource, @prompt decorators
# All the list_tools, call_tool, etc. handler methods
# Context management
class FastMCP(FastMCPBase):
"""Starlette-specific implementation"""
def __init__(self, name: str, **settings):
super().__init__(name)
self.settings = Settings(**settings)
self._custom_starlette_routes = []
# Only Starlette-specific methods like sse_app, routing, etc.
The implementation in the other library could look like this:
class DjangoMCP(FastMCPBase):
"""Django-specific implementation"""
# Django-specific routing & transport logic
One slight complication could be the Context class as it has a reference to the FastMCP instance (self._fastmcp. However the only function that's used is read_resource which would already be on the base class. So possible just need to change the type hint to use the base class.
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
檢視 issue 中描述的 MCPServer 低階整合、tool/resource/prompt managers、裝飾器與 handler 方法。比較 Starlette 特有的設定、傳輸與路由和提議的 FastMCPBase 邊界,包括 Context 對 FastMCP 的參照;完成的條件是與 framework 無關的程式碼保留這些能力,同時由 FastMCP 保留 Starlette 相關事項。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- django, python
- 領域
- api, backend
- Issue 類型
- 功能
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 30/100