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104 lines
4.2 KiB
Text
104 lines
4.2 KiB
Text
---
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title: models
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sidebarTitle: models
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---
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# `fastmcp.server.auth.oauth_proxy.models`
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OAuth Proxy Models and Constants.
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This module contains all Pydantic models and constants used by the OAuth proxy.
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## Classes
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### `OAuthTransaction` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L36" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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OAuth transaction state for consent flow.
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Stored server-side to track active authorization flows with client context.
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Includes CSRF tokens for consent protection per MCP security best practices.
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### `ClientCode` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L57" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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Client authorization code with PKCE and upstream tokens.
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Stored server-side after upstream IdP callback. Contains the upstream
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tokens bound to the client's PKCE challenge for secure token exchange.
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### `UpstreamTokenSet` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L75" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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Stored upstream OAuth tokens from identity provider.
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These tokens are obtained from the upstream provider (Google, GitHub, etc.)
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and stored in plaintext within this model. Encryption is handled transparently
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at the storage layer via FernetEncryptionWrapper. Tokens are never exposed to MCP clients.
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### `JTIMapping` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L97" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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Maps FastMCP token JTI to upstream token ID.
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This allows stateless JWT validation while still being able to look up
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the corresponding upstream token when tools need to access upstream APIs.
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### `RefreshTokenMetadata` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L109" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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Metadata for a refresh token, stored keyed by token hash.
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We store only metadata (not the token itself) for security - if storage
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is compromised, attackers get hashes they can't reverse into usable tokens.
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### `ProxyDCRClient` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L131" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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Client for DCR proxy with configurable redirect URI validation.
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This special client class is critical for the OAuth proxy to work correctly
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with Dynamic Client Registration (DCR). Here's why it exists:
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Problem:
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--------
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When MCP clients use OAuth, they dynamically register with random localhost
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ports (e.g., http://localhost:55454/callback). The OAuth proxy needs to:
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1. Accept these dynamic redirect URIs from clients based on configured patterns
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2. Use its own fixed redirect URI with the upstream provider (Google, GitHub, etc.)
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3. Forward the authorization code back to the client's dynamic URI
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Solution:
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---------
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This class validates redirect URIs against configurable patterns,
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while the proxy internally uses its own fixed redirect URI with the upstream
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provider. This allows the flow to work even when clients reconnect with
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different ports or when tokens are cached.
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Without proper validation, clients could get "Redirect URI not registered" errors
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when trying to authenticate with cached tokens, or security vulnerabilities could
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arise from accepting arbitrary redirect URIs.
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**Methods:**
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#### `validate_redirect_uri` <sup><a href="https://github.com/jlowin/fastmcp/blob/main/src/fastmcp/server/auth/oauth_proxy/models.py#L160" target="_blank"><Icon icon="github" style="width: 14px; height: 14px;" /></a></sup>
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```python
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validate_redirect_uri(self, redirect_uri: AnyUrl | None) -> AnyUrl
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```
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Validate redirect URI against allowed patterns.
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Since we're acting as a proxy and clients register dynamically,
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we validate their redirect URIs against configurable patterns.
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This is essential for cached token scenarios where the client may
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reconnect with a different port.
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