Is Trading Signals MCP free to use?
Yes, it is currently free during beta. No credit card is required. Future plans include a free tier (60 requests/min, 7‑day history) and a Pro tier at $29/month.
@roman-rr
Basic information
Live crypto trading signals via API. Full trade setups with entry, stop-loss, take-profit, leverage, and automated verification. Built for Claude Code, OpenAI Codex, and 30+ AI agents.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"trading-signals": {
"url": "https://aelita.x70.ai/mcp"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
Trading Signals MCP provides live AI‑generated crypto trading signals with full trade setups, automated verification against real market prices, and performance tracking. It is designed for Claude Code, OpenAI Codex, Cursor, Windsurf, and other AI coding agents.
Install via the Claude Code plugin, npx, or by adding the MCP server (HTTP transport) to your Claude Desktop or Claude Code configuration. Once installed, ask your AI agent natural‑language prompts such as “Get me the latest crypto trading signals.” The server exposes four tools: register, get_signals, get_signal, and get_stats.
Yes, it is currently free during beta. No credit card is required. Future plans include a free tier (60 requests/min, 7‑day history) and a Pro tier at $29/month.
Use the `register` tool or POST to `/api/skill/register` to obtain an API key. No authentication is needed for registration.
The system covers 20+ coins including BTC, ETH, and SOL. Each signal includes direction (bull/bear), entry price, stop loss, take profit, confidence score, and suggested leverage.
Every signal is automatically tracked against real market prices. The system records leverage‑adjusted profit/loss and provides a public dashboard showing full history, including wins and losses.
Signals are generated from 15+ real‑time data sources such as funding rates, order books, whale trades, on‑chain data, and news, using a multi‑expert AI consensus mechanism.

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