modelcontextprotocol / modelcontextprotocol/python-sdk

Protected Resource Metadata resource erroneous when setting up authentication on server

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auth bug P2 ready for work
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Descripción

Initial Checks
Description

I am getting the following error when I try to enable MCP server authentication and configure it in VSCODE copilot:

Error Error sending message to http://localhost:8000/mcp: Error: Protected Resource Metadata resource "http://localhost:8000/" does not match MCP server resolved resource "http://localhost:8000/mcp". The MCP server must follow OAuth spec https://datatracker.ietf.org/doc/html/rfc9728#PRConfigurationValidation

From what I have seen, the error is caused because the metada that is returned in the endpoint "/.well-known/oauth-protected-resource" in the resource field does not match the url of the MCP server to be configured to use copilot and what is specified in the definition if they should match. You can see here https://datatracker.ietf.org/doc/html/rfc9728#PRConfigurationValidation

I have made a small snippet of code available here https://github.com/carlosemart/python-mcp-oauth-example in which you can see that the well-know answer is:

{
    "resource": "http://localhost:8000/",
    "authorization_servers": [
        "https://auth.example.com/"
    ],
    "scopes_supported": [
        "user"
    ],
    "bearer_methods_supported": [
        "header"
    ]
}

and in the resource field you should see "http://localhost:8000/mcp" which is the url that is configured in VSCODE.

Example Code
from mcp.server.auth.provider import AccessToken, TokenVerifier
from mcp.server.auth.settings import AuthSettings
from mcp.server.fastmcp import FastMCP
from pydantic import AnyHttpUrl


class SimpleTokenVerifier(TokenVerifier):
    """Simple token verifier for demonstration."""

    async def verify_token(self, token: str) -> AccessToken | None:
        return AccessToken(
            token=token,
            scopes=["user"],
        )


# Create an MCP server
mcp = FastMCP(
    "Demo",
    stateless_http=True,
    # Token verifier for authentication
    token_verifier=SimpleTokenVerifier(),
    # Auth settings for RFC 9728 Protected Resource Metadata
    auth=AuthSettings(
        issuer_url=AnyHttpUrl("https://auth.example.com"),  # Authorization Server URL
        resource_server_url=AnyHttpUrl("http://localhost:8000"),  # This server's URL
        required_scopes=["user"],
    ),
)


# Add an addition tool
@mcp.tool()
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b


# Add a dynamic greeting resource
@mcp.resource("greeting://{name}")
def get_greeting(name: str) -> str:
    """Get a personalized greeting"""
    return f"Hello, {name}!"


# Add a prompt
@mcp.prompt()
def greet_user(name: str, style: str = "friendly") -> str:
    """Generate a greeting prompt"""
    styles = {
        "friendly": "Please write a warm, friendly greeting",
        "formal": "Please write a formal, professional greeting",
        "casual": "Please write a casual, relaxed greeting",
    }

    return f"{styles.get(style, styles['friendly'])} for someone named {name}."


def main():
    """Entry point for the direct execution server."""
    mcp.run(transport="streamable-http")


if __name__ == "__main__":
    main()


Python & MCP Python SDK
Tested with python version 3.11.9 and 3.12.5, and MCP Python SDK 1.12.4 version

Guía de contribución

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  1. Lee el issue completo y luego la guía de contribución del proyecto.
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  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

Comienza con AuthSettings y el endpoint de metadatos del recurso protegido descrito en el issue, y luego reproduce el comportamiento usando el ejemplo de Python proporcionado y el servidor streamable-HTTP. Compara la URL de MCP configurada con el valor del recurso en los metadatos y consulta los requisitos de validación de RFC 9728. Se considera terminado cuando los metadatos indican el recurso configurado /mcp y la configuración de autenticación deja de activar el error de discrepancia.

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

Evaluación

Stack tecnológico
python
Área
api, authentication
Tipo de issue
Error
Dificultad
3/5
Tiempo estimado
1-2 días
Estado de actividad
Activo
Claridad
Bastante claro
Aptitud para principiantes
58/100

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