modelcontextprotocol / modelcontextprotocol/python-sdk
OAuth token refresh hits the wrong endpoint when the auth server lives under a path
還沒有人認領這個 Issue。
- 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
Ran into this with a hosted MCP server whose authorization server isn't at the origin root — token endpoint is https://host/oauth2/api/v1/token, not https://host/token.
If a client starts up with a cached-but-expired access token (+ refresh token) and hasn't done discovery yet, async_auth_flow refreshes at the very top — before any 401/metadata discovery. So oauth_metadata is None and _refresh_token uses the fallback urljoin(get_authorization_base_url(server_url), "/token"), i.e. just {scheme}://{netloc}/token. That 404s, _handle_refresh_response clears the tokens, and the flow drops to full interactive auth — which a headless/gateway client can't do. So the server silently disconnects every time the access token expires (mine are 5 min, so… constantly).
Same path-stripping fallback is in _get_token_endpoint, _perform_authorization_code_grant (/authorize) and DCR (/register) — refresh is just the one that bites silently.
Repro (roughly):
- MCP server whose AS metadata puts
token_endpointunder a path, not{origin}/token - log in normally so tokens get cached
- let the access token expire (or clear the expiry), reconnect with a fresh provider
- watch the refresh POST go to
https://host/token→ 404 → "Token refresh failed" → tokens cleared → it tries to open a browser
Fix looks like: discover metadata before the eager refresh (or stop dropping the issuer path in the fallback). Happy to PR — have a branch that pulls the PRM/ASM discovery out of the 401 branch and runs it before the refresh.
(used some AI help digging into this)
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研究方向
首先追蹤 async_auth_flow 及其到 _refresh_token 的 eager refresh 路徑,然後比較 _get_token_endpoint、_perform_authorization_code_grant 和 DCR 中的 fallback 行為。針對中繼資料端點包含路徑的 authorization server,重現快取中已過期 token 的情境。完成條件是 refresh 使用已探索到的 token endpoint,且不會清除有效 token 或回退到互動式驗證。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- python
- 領域
- api, authentication
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 冷清
- 描述清晰度
- 描述清楚
- 新手友好度
- 48/100