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Showcasing allauth IdP: build an MCP server
This article demonstrates how to build a Model Context Protocol (MCP) server using Django and django-allauth, with OpenID Connect (OIDC) authentication handled by the allauth.idp package. It shows how MCP hosts such as Claude can dynamically register and authenticate clients without relying on separate third-party identity providers.
BugHunter
AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.
tracesage
tracesage adds local, zero-infra tracing to LangChain/LangGraph agents in two lines, it captures every chain, tool, and LLM call to SQLite and shows the run as a live graph and timeline in your browser. Open source, pip install, MIT licensed.
defending-code-reference-harness
Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can customize.
Choosing a Python task queue library in 2026: Celery vs Dramatiq vs FastStream vs Taskiq vs Repid
💖 Most Popular in the Last Two Weeks
GitHub Pages alternative with native Python
This article shows how to recreate core GitHub Pages functionality using only Python's standard library, including static file serving, automated deployments, and HTTPS support. By extending http.server in just a few dozen lines of code, it demonstrates how native Python tools can power a lightweight static website hosting platform.
free-llm-api-keys
The easiest way to access LLM APIs for free - no credit card, no registration. Copy a key from the table below, paste it into your app, and start building.
Choosing a Python task queue library in 2026: Celery vs Dramatiq vs FastStream vs Taskiq vs Repid
pyappdist – Build installers for Python apps
Testing in Python with pytest: from the basics to advanced techniques
This comprehensive guide covers pytest from basic testing concepts to advanced techniques such as fixtures, parametrization, mocking, and asynchronous testing. It provides practical patterns for building maintainable, scalable Python test suites and leveraging pytest effectively in production environments.
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