Add MCP Server

[itsOmSarraf]

Add MCP Server Integration Guide for AI Agents

Problem

Developers building AI-powered applications and autonomous systems have no clear way to integrate Pyth price feeds. Current documentation covers smart contracts and traditional APIs, but not AI agent integration.

Missing:

• How to access Pyth data from AI agents (ChatGPT, Claude, custom LLMs)
• Integration with AI frameworks like LangChain
• Natural language price queries (e.g., "What's the current BTC price?")
• Examples for autonomous trading bots and AI-driven DeFi applications

What is MCP?

Model Context Protocol (MCP) is an open standard by Anthropic that lets AI applications securely connect to external data sources. Think of it as a standardized API specifically designed for AI agents to fetch real-time data.

Why it matters for web3:

• AI agents can make informed decisions based on real-time Pyth price feeds
• Autonomous trading bots can access 1,930+ price feeds across 107+ chains
• Developers can build AI-powered DeFi applications with reliable oracle data
• Users can query prices conversationally through Claude Desktop

Solution

Add comprehensive MCP Server integration guide covering:

1. Setup & Installation - Get the MCP server running in minutes
2. Claude Desktop Integration - Query prices using natural language
3. Programmatic Integration - Python examples for AI agents
4. LangChain Integration - Build AI agents with Pyth data
5. Use Cases - Trading bots, portfolio management, liquidation monitoring
6. Best Practices - Production deployment, rate limiting, error handling

MCP Server

• Repository: https://github.com/itsomsarraf/pyth-network-mcp
• Protocol: Official MCP SDK (Model Context Protocol)
• Features: 1,930+ price feeds, TWAP, historical data, universal price IDs
• Status: Production-ready

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Resolves: PR #873