feat: Add Model Context Protocol (MCP) Integration

[jaisw7]

Summary

Integrate the Model Context Protocol (MCP) to enable dnet to serve as an MCP server, allowing AI assistants and applications to interact with the distributed inference network through a standardized interface.

Why MCP?

The Model Context Protocol is an open standard that enables seamless integration between AI applications and data sources. By implementing MCP in dnet, we can:

1. Standardized Interface: Provide a unified way for AI assistants (Claude, ChatGPT, etc.) to interact with our distributed inference network
2. Ecosystem Integration: Enable dnet to work with any MCP-compatible client without custom integration code
3. Developer Experience: Allow developers to easily connect their AI applications to dnet's distributed inference capabilities
4. Future-Proofing: Align with emerging standards in the AI tooling ecosystem

Use Cases

• AI Assistant Integration: Enable Claude Desktop, Cody, and other AI assistants to use dnet for inference
• Development Tools: Allow IDEs and development environments to leverage distributed inference
• Custom Applications: Enable third-party applications to connect to dnet through a standard protocol
• Multi-Model Orchestration: Provide a standardized way to route requests across the distributed network