Pazieh exposes its full signal engine — screener, indicators, analysis, and trade setups — as callable tools via the Model Context Protocol. Any AI agent can use them.
MCP (Model Context Protocol) is an open standard by Anthropic that lets AI agents call external tools natively. Instead of scraping web pages or parsing APIs manually, agents call tools/list to discover capabilities and tools/call to execute them — getting structured, real-time data back.
Pazieh is one of the first financial platforms to implement a native MCP server. This means Claude Desktop, Cursor, Windsurf, and any MCP client can access production-grade technical analysis grounded in live market data.
Add Pazieh to your MCP client config:
claude_desktop_config.json
{
"mcpServers": {
"pazieh": {
"url": "https://pazieh.com/mcp"
}
}
}
That's it. No API key required for basic access. Your agent will auto-discover all available tools.
"What are the top 3 bullish setups right now among AAPL, NVDA, MSFT, GOOGL, TSLA?"
pazieh.batch_analysis({
symbols: "AAPL,NVDA,MSFT,GOOGL,TSLA",
interval: "1d"
})
→ returns ranked results with full
signals, grounded in live market data.
MCP Spec
Endpoint: POST https://pazieh.com/mcp
Transport: Streamable HTTP (JSON-RPC 2.0)
Protocol: MCP 2025-03-26
Discovery: GET https://pazieh.com/mcp
Auth: None required (open access)
The server implements initialize, tools/list, and tools/call methods per the MCP specification.
Add the server URL to your MCP config and start asking questions about any market.
https://pazieh.com/mcp