> For the complete documentation index, see [llms.txt](https://docs.awenetwork.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.awenetwork.ai/infrastructure/overview/capability/mcp-overview.md).

# MCP Overview

### What is MCP?

[MCP](https://modelcontextprotocol.io/docs/getting-started/intro) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

[MCP Overview](https://modelcontextprotocol.io/overview)\
[Dev Roadmap](https://modelcontextprotocol.io/development/roadmap)

### What is AWESOME MCP Platform

Together, these unlock a complete environment for worldbuilders, AI engineers, and creators to experiment, deploy, and scale autonomous systems — powered entirely by on-chain incentives.

[AWESOME MCP](https://www.awenetwork.ai/blog/awesome)

### How does AWESOME work?

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[MCP Workflow Builder](/infrastructure/overview/capability/mcp-workflow-builder.md)
{% endcontent-ref %}

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[Agent Marketplace](/infrastructure/overview/capability/agent-marketplace.md)
{% endcontent-ref %}

### Featured Use Case

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[AWESOME X Agent](/infrastructure/overview/capability/awesome-x-agent.md)
{% endcontent-ref %}


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