patternfetch-client MCP Server

Why it's smaller: for BTC/USDT 4h (120 candles), a raw OHLCV dump is ~3,260 tokens of just numbers the model still has to analyze; patternfetch's interpreted analysis is ~1,323 tokens, already…

Remote serverMIT

What is the patternfetch-client MCP Server?

patternfetch-client is an MCP project maintained in the marvinrey7879/patternfetch-client repository. The maintainer describes its purpose as “Why it's smaller: for BTC/USDT 4h (120 candles), a raw OHLCV dump is ~3,260 tokens of just numbers the model still has to analyze; patternfetch's…”. Read the project documentation for the complete scope.

Hosted connection

The maintainer’s configuration uses https://patternfetch.com/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
brief	Market-state report for one ticker + timeframe: compact candles, patterns with base rate and lift, support/resistance, regime, RSI/EMA, one-line summary.
multi	One brief per timeframe (default 1h, 4h, 1d) plus a cross-timeframe alignment read that spells out agreement or divergence, e.g. 1h up / 4h up / 1d down.
delta	Only what changed since the last brief for that ticker + timeframe — trend flips, new patterns, RSI-state changes. Returns changed: false when nothing material
analogs	Historical windows whose shape resembles current price action, with the full distribution of what followed: win rate, median, mean, min, max and n over a fixed
scan	Screener over a curated universe of liquid US large-caps, core and sector ETFs and major crypto pairs. Filter by asset class, regime, pattern and minimum…
capabilities	Supported assets, timeframes, endpoints, limits and pricing. No input.
Method	Endpoint

How to install the patternfetch-client MCP Server

{
  "mcpServers": {
    "patternfetch": {
      "url": "https://patternfetch.com/mcp",
      "headers": {
        "Authorization": "YOUR_AUTHORIZATION"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.