A collection of 11 posts
A Stacklok survey of 520 leaders found 8% use one model provider, and MCP integrations (53%) and multi-step workflows (52%) are hardest to migrate. Here's how to vet agent developers on portability, MCP security, evals, sandboxing and cost, with a scorecard and paid work trial.
MCP's real attack surface in 2026 - prompt injection, tool poisoning, token passthrough, confused deputy, SSRF - and how to harden a server with OAuth 2.1, scoping, input validation, and human-in-the-loop.
A practical, end-to-end guide to building an MCP server in Python: scaffold with the official SDK, expose tools, resources, and prompts, run over stdio and Streamable HTTP, debug with the Inspector, and register in Claude Code and Cursor.
How senior engineers wire Claude Skills and MCP servers together in 2026: SKILL.md format, the MCP 2025-11-25 spec, real integration patterns for code review, database access, and incident response.
Use the Playwright MCP server with Claude Code and Cursor to generate E2E tests against your live DOM — setup, review loop, failure modes, conventions file.
A senior-engineer field guide to the ten errors you will actually hit in Claude Code in 2026 — 529, 401, MCP -32000, Client Closed, plugin and skill failures, subagent timeouts, sandbox denials — plus how to read the /doctor output line by line.
A curated list of the 15 MCP servers worth installing for Claude Code and Cursor in 2026 — what each one does, the install command, when it shines, and how to stay under Cursor's 40-tool ceiling.
DeepWiki turns any GitHub repo into a structured, interactive wiki in seconds. This guide covers the URL trick, AI chat, Deep Research Mode, MCP server config, private repo support, and the open-source self-hosted alternative.
Last updated April 2026 — refreshed for current package versions, transport guidance, and the official MCP spec (2025-03-26). The Model Context Protocol (MCP) has become the dominant standard for connecting AI models to external tools and services — growing from 2 million monthly SDK downloads at its November 2024 launch to 97
The landscape of software integration and automation is evolving rapidly, especially with the rise of AI-driven systems. Two key technologies at the center of this transformation are MCP (Model Context Protocol) and API (Application Programming Interface). While both act as communication bridges between software systems, their design, use cases, and
The rapid evolution of software integration and artificial intelligence (AI) has introduced new paradigms for how systems communicate and collaborate. Two terms that frequently arise in this context are API (Application Programming Interface) and MCP (Model Context Protocol). While both facilitate connections between software components, they serve fundamentally different purposes,