MCP for Traders
4 articles
How to Connect TradingView to Claude via MCP (2026)
Connecting TradingView to Claude via MCP is a four-step setup: a TradingView webhook that fires structured alerts, an HTTP MCP server that receives them and exposes execution tools, scoped exchange API keys with withdrawals disabled, and a policy layer that turns alerts into capped, audited trades. The full stack runs on a $5 VPS. This is the working architecture with code.
MCP vs CCXT for Trading Bots: When to Use Which (2026)
MCP and CCXT are not competitors. CCXT is a Python/JS library that normalises exchange APIs; MCP is a protocol that lets an LLM call those APIs as tools. The right answer for an agentic trading bot in 2026 is to put MCP on top of CCXT — use CCXT as the implementation, MCP as the interface. Picking one and excluding the other is a category mistake.
Best MCP Servers for Traders in 2026
Five categories of MCP server matter for an agentic trader: market data, execution venues, on-chain analytics, news and sentiment, and orchestration runtimes. Most published lists are LLM slop. This is the practical map of what actually exists, what works, and what to skip.
MCP for Trading: The Model Context Protocol, Explained
MCP — Model Context Protocol — is the standard that lets AI agents call exchange APIs, on-chain data sources, and trading platforms through a single uniform interface. By 2026 it has replaced the n-by-m mess of bespoke connectors and is the default integration layer for any serious agentic trading system.