The Model Context Protocol
MCP is the universal bridge between AI assistants and tools. One open standard that lets every skill work on every platform.
A universal language for AI tools
The Model Context Protocol is an open standard that defines how AI assistants talk to external tools. It was created by Anthropic and adopted across the industry.
Before MCP, every AI platform had its own way of connecting to tools. Developers had to build custom integrations for each one. MCP changes that - build a tool once, and it works everywhere.
Think of it like USB for AI. Just as USB let any device connect to any computer, MCP lets any skill connect to any AI assistant. One standard, universal compatibility.
The benefits of an open protocol
MCP isn't just a technical standard - it changes what's possible for AI tools and the people who build them.
Universal compatibility
One skill works across every MCP-compatible platform. Build once, run on Claude Code, Cursor, Windsurf, Copilot, and more - no platform-specific code needed.
Security by design
MCP includes permission scoping and sandboxed execution. Skills declare what they need access to, and your AI assistant enforces those boundaries.
Open standard
MCP is vendor-neutral and freely available. No lock-in, no licensing fees. Anyone can build MCP servers, clients, or tools without restrictions.
Instant integration
No custom APIs, no SDKs, no boilerplate. Skills connect through the protocol automatically. Install and start using them in your next conversation.
From creation to conversation
How a skill goes from a creator's laptop to working inside your AI assistant.
Creator publishes a skill
A developer packages their tool as an MCP skill with a SKILL.md file and publishes it to AgentPowers with a single CLI command.
AgentPowers scans & lists
The skill passes through an 8-layer automated security pipeline. Verified skills are listed on the marketplace with full transparency on findings.
Any AI assistant uses it
Install the skill and it's available through MCP in your next conversation - Claude Code, Cursor, Windsurf, or any compatible platform.
Works with every major AI tool
MCP is adopted across the industry. Skills from AgentPowers work on all of these platforms.
Browse and install skills from inside your AI
The AgentPowers MCP plugin turns your AI assistant into a skill-aware tool. Search the marketplace, read reviews, install skills, and manage updates - all through conversation.
No tab switching. No copy-pasting commands. Just ask your AI to find what you need and it handles the rest.
claude plugin add agentpowers pip install agentpowers Every MCP skill is security-scanned
MCP tools can access files, run code, and call APIs. That's why every skill on AgentPowers passes through an 8-layer automated security pipeline before it reaches you.
Everything you need to know about MCP
What is the Model Context Protocol?
MCP is an open standard created by Anthropic that defines how AI assistants communicate with external tools and data sources. Think of it like USB for AI - a universal interface that lets any compatible assistant use any compatible tool, regardless of who made either one.
Who created MCP?
MCP was created by Anthropic and released as an open specification. It's designed to be vendor-neutral - any AI platform can implement the protocol, and many already have.
Is MCP open source?
Yes. The MCP specification is fully open. Anyone can build MCP servers, MCP clients, or MCP-compatible tools without licensing fees or restrictions. This is why skills on AgentPowers work across so many platforms.
Do I need to understand MCP to use skills?
Not at all. MCP works behind the scenes. You install a skill with one command - ap install skill-name - and your AI assistant uses it automatically. No protocol knowledge required.
Which platforms support MCP?
MCP is supported by Claude Code, Claude Cowork, claude.ai, Cursor, Windsurf, GitHub Copilot, Gemini CLI, Codex, Kiro, OpenCode, OpenClaw, Antigravity, and more. Any platform that implements the MCP specification can use skills from AgentPowers.
How do AgentPowers skills use MCP?
Skills on AgentPowers are packaged as MCP tools. When you install the AgentPowers plugin, it runs as an MCP server that your AI assistant connects to. The assistant can then discover, invoke, and use any installed skill through the MCP protocol.
Is MCP secure?
MCP includes built-in security features like permission scoping and sandboxed execution. On top of that, every skill on AgentPowers passes through an 8-layer security pipeline before listing - including static analysis, malware detection, dependency scanning, and AI-powered semantic review.
Where can I learn more about MCP?
Read the full MCP specification at modelcontextprotocol.io, or explore the AgentPowers documentation for guides on installing the CLI, using the plugin, and publishing skills.
Explore the MCP marketplace
Browse verified skills that work across every MCP-compatible platform. Install in one command, use through conversation.