modelcontextprotocol / modelcontextprotocol/python-sdk
Is one-auth-configuration-per-server a deliberate constraint?
まだ誰も着手していません。
- 主要言語
- Python
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説明
Initial Checks
- I confirm that I'm using the newest release of my line (the latest 2.x, or the latest 1.x if I'm still on v1)
- I confirm that I searched for my issue in https://github.com/modelcontextprotocol/python-sdk/issues before opening this issue
Release line
2.x (current stable)
Description
Hi! Is one-auth-configuration-per-server in the Python SDK a deliberate constraint, or just something nobody has needed yet?
Use case
I have an MCP server for text search that enforces per-user article permissions from our main system. One deployment needs to serve two kinds of caller:
- Service-to-service (internal). Our frontend authenticates the user, the backend receives only the user's token and passes it to the MCP server — this avoids redirect-based logins between internal services. The MCP server then exchanges that token with our SSO for a token valid for a third system, so it needs a confidential client with a
client_secret. - Interactive (external). I'd like the same server to also expose a "public" entry point, so a user can add it to Claude Desktop / Codex and go through normal OAuth with a public client (PKCE, no secret).
Today AuthSettings allows exactly one configuration
issuer_urlis a singleAnyHttpUrl, and the server always publishes it as a one-element list —server/mcpserver/server.py:1207:
authorization_servers=[self.settings.auth.issuer_url]
- the client only ever reads the first entry —
client/auth/oauth2.py:349and:630, with a# todo: try all authorization_servers to find the OASM - and there is one
token_verifierperMCPServer.
The workaround, and why it doesn't hold up
The obvious approach is two MCPServer instances sharing the tool functions (see Example Code below). Stacking the decorators is fine (tool() returns the function unchanged). Mounting is where it falls apart. Both apps can't be mounted at / — the first one matches everything and the second is never reached. And once the second is mounted under a prefix, its RFC 9728 metadata route (generated from resource_server_url) is served from under that prefix:
200 /public/.well-known/oauth-protected-resource/public/mcp <- where it actually is
404 /.well-known/oauth-protected-resource/public/mcp <- where the client looks
So the second server is undiscoverable unless I re-register the well-known route at the app root by hand. That's the part that feels like it should be SDK support rather than a workaround.
Question
Is one auth config per server intentional — and if so, what's the recommended way to cover both cases? Or would you be open to multiple auth configurations / multiple token verifiers per server? Happy to put up a PR if there's interest.
Example Code
mcp = MCPServer(token_verifier=JwtTokenVerifier(),
auth=AuthSettings(resource_server_url="https://host/mcp", ...))
mcp_public = MCPServer(token_verifier=PublicJwtTokenVerifier(),
auth=AuthSettings(resource_server_url="https://host/public/mcp", ...))
@mcp.tool()
@mcp_public.tool()
async def search(...): ...
Python & MCP Python SDK
Python 3.14.2
MCP Python SDK 2.0.0
コントリビューションガイド
はじめの一歩
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- issue 番号を参照したプルリクエストを送ります。
調査の方向性
server/mcpserver/server.py:1207 の AuthSettings と authorization_servers の公開から始め、次に MCPServer 上の単一の token_verifier を追跡してください。参照されている行の client/auth/oauth2.py を確認し、現在の最初のエントリの動作とその TODO を理解してください。完了条件は、両方の認証設定をサポートするための文書化された判断または明確に定義された設計があることです。
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- authentication, backend-api-design
- issue の種類
- 機能追加
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 活発
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100