Send authenticated HTTP requests through browser-based login and session handling.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Web Auth MCP Server" yet — see the docs or source repo.
Use Web Auth MCP Server to access a company internal API. First complete OAuth login in the browser, then send a GET request to https://internal.example.com/api/reports, preserve the session, and return the status, headers, and JSON response.
Returns the authenticated API response including status code, headers, and parsed data.
Use Web Auth MCP Server to sign in to the target website with form login and cookie management. After login, request https://portal.example.com/dashboard and extract the account name, recent notifications, and key metrics from the page.
Returns the post-login page content or extracted results with session-aware access.
Use Web Auth MCP Server to verify the authentication flow for a protected endpoint. Visit the login page and authenticate, then call two session-protected APIs in sequence, check whether cookies are reused and the session remains valid, and summarize possible causes of auth failure.
Returns authentication and session test results, showing success status and issues in the auth flow.
Add OAuth 2.1 auth, middleware, and token verification to MCP servers.
Use natural language to run MCP-powered browser and text workflows.
Securely manage OAuth 2.0 tokens for MCP applications.
Automate real browser tasks tab by tab while keeping the current session.
Demonstrates OAuth 2.1, PKCE, and protected resource access in an MCP server.
Let AI control a browser for web tasks, extraction, and testing.