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Centralize MCP once, reuse it everywhere, and turn high-value tools into Skills that last.

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What Is mcp2skill? The Desktop App That Turns MCP Tools into On-Demand Skills (2026)
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What Is mcp2skill? The Desktop App That Turns MCP Tools into On-Demand Skills (2026)

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.

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MCP2Skill Team
2026/08/07
How to Build an AI Agent: A Practical Guide (2026)
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How to Build an AI Agent: A Practical Guide (2026)

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.

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MCP2Skill Team
2026/08/06
How to Run LLMs Locally: A Complete Guide (2026)
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How to Run LLMs Locally: A Complete Guide (2026)

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.

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MCP2Skill Team
2026/08/06
What Is MCP (Model Context Protocol)? A Beginner's Guide
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What Is MCP (Model Context Protocol)? A Beginner's Guide

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.

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MCP2Skill Team
2026/08/06
Centralized MCP Gateway: Manage Multiple MCP Servers in One Place
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Centralized MCP Gateway: Manage Multiple MCP Servers in One Place

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.

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MCP2Skill Team
2025/07/25
MCP vs Skills: When to Use Which for AI Agents
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MCP vs Skills: When to Use Which for AI Agents

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.

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MCP2Skill Team
2025/07/20
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