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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#622 1 comentario 15 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

enhancement needs decision P3 v2
Lenguaje dominante
Python
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Descripción

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.

Guía de contribución

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Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Revisa la integración de bajo nivel de MCPServer, los tool/resource/prompt managers, los decoradores y los métodos handler descritos en el issue. Compara la configuración específica de Starlette, el transporte y el enrutamiento con el límite propuesto de FastMCPBase, incluida la referencia a FastMCP de Context; se considera terminado cuando el código independiente del framework conserva estas capacidades, mientras FastMCP mantiene las preocupaciones de Starlette.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
django, python
Área
api, backend
Tipo de issue
Nueva funcionalidad
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
30/100

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