
mcp2skill is a desktop app that converts MCP tools into on-demand Skills, manages MCP services centrally, reuses them across multiple clients, and adds call observability. Here's a full introduction to what it is and how it works.


Learn how to build an AI agent from scratch in 2026 — from choosing a framework and connecting tools via MCP to deploying and observing your agent in production.


Run large language models on your own hardware — no cloud API, no subscription. Learn which models work locally, what hardware you need, and how to set up Ollama, LM Studio, OllaMan, and llama.cpp.


MCP is an open protocol that lets AI models connect to external tools and data sources through a standard interface. Learn what MCP is, how it works, and why it matters for AI agents in 2026.


Connecting AI agents to multiple MCP servers creates configuration chaos, security gaps, and zero visibility. Learn how a centralized MCP gateway solves this — and how MCP2Skill implements it with workspaces and tool filtering.


MCP connects agents to tools. Skills package capability for on-demand use. Learn the key differences, when to choose each, and how MCP2Skill combines both for optimal agent workflows.
