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Chartlibrary MCP

Cohort intelligence engine for stock chart patterns. Anchor any (symbol, date, timeframe) and your AI agent gets the comp set of historical

Grade A Local · stdio No auth needed tools not listed v6.1.0
No reviews yet by grahammccainGitHub Runs on your machine, nothing hosted
p95 latency
call success
local
runs on your machine
calls last 7d

What it does

Cohort intelligence engine for stock chart patterns. Anchor any (symbol, date, timeframe) and your AI agent gets the comp set of historical analogs, the full calibrated forward-return distribution, and the drivers that separated winners from losers. Flagship tool pull_comps plus 14 canonical tools and a full-cohort handover surface; the core loop is search → pull_comps → cohort_introspect. 25M+ patterns, 19K+ symbols, 10 years. Validated 50–0 in a blind paired AI-agent evaluation.

Quickstart

# 1 — install (mcprush login holds a key from your dashboard) npx mcprush@latest add chartlibrary-mcp # 2 — ask your agent something > Cohort intelligence engine for stock chart patterns. Anchor any (symbol, date, timeframe) and your AI agent gets the comp set of historical

Chartlibrary is free: there is no plan to choose, no cap to set and nothing that can bill you.

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