MCP server
patternfetch
io.github.MarvinRey7879/patternfetch
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
US stocks, ETFs, crypto → compact brief: patterns, S/R, regime + base rates vs baseline. Not advice.
Working at last checkAbout 3,319 tokens per request once connected6 tools
https://patternfetch.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 3,319 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http patternfetch https://patternfetch.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.patternfetch] url = "https://patternfetch.com/mcp"
Gemini CLI
{"mcpServers":{"patternfetch":{"httpUrl":"https://patternfetch.com/mcp"}}}
Cursor
{"mcpServers":{"patternfetch":{"url":"https://patternfetch.com/mcp"}}}
VS Code
{"servers":{"patternfetch":{"type":"http","url":"https://patternfetch.com/mcp"}}}
Antigravity
agy mcp add patternfetch https://patternfetch.com/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"patternfetch","server_url":"https://patternfetch.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"patternfetch","server_url":"https://patternfetch.com/mcp"}
Tools
patternfetch_analogs~569 tokens
Find earlier windows IN THE SAME SERIES whose shape resembles the current price action and return the FULL distribution of what followed (win-rate, median, min, max, n) over a fixed forward horizon. Parameters: window = how many recent bars form the shape being matched (default 32); horizon = how mapatternfetch_brief~524 tokens
Get a token-compact market-state brief for a stock, ETF, or crypto ticker + timeframe. Returns compact candles, detected chart/candlestick patterns with geometric confidence AND a backtested historical base rate (how often that pattern+timeframe+confidence-band actually resolved its way), support/repatternfetch_capabilities~241 tokens
Return patternfetch's own capability matrix: which asset classes are covered (US stocks, ETFs, crypto spot), the data source and delay for each, the supported timeframes, the endpoint list, the per-call prices and tier limits, and the product version. Takes no arguments and returns the same static spatternfetch_delta~401 tokens
Get only what CHANGED since your last brief for a ticker+timeframe (trend flips, new patterns, RSI-state changes). WHEN: an agent polls the same market repeatedly and wants minimal tokens — call brief once, then delta on each later poll. WHEN NOT: first look at a market (use brief). Returns changed=patternfetch_multi~483 tokens
Get a multi-timeframe market-state view for one stock, ETF, or crypto ticker in a single call: a token-compact brief for each requested timeframe (default 1h, 4h, 1d) PLUS a cross-timeframe alignment read — whether the trends across timeframes agree or diverge, with the split spelled out (e.g. "1h upatternfetch_scan~1101 tokens
Scan US stocks, ETFs, and crypto for tickers currently in a given regime or showing a chart/candlestick pattern, RANKED by the honest backtested base rate + 95% CI — discovery, NOT lookup. This is the screener: instead of asking about one ticker you already know, ask "which tickers right now are in
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