CH

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 28 tools v6.3.3 · 10 Sep 2026
No reviews yet by grahammccainPyPI 22,691 Runs on your machine, nothing hosted
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trust score
6
downloads a day
local
runs on your machine
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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 — add it to Claude Code claude mcp add --scope user chartlibrary-mcp '--' uvx chartlibrary-mcp # 2 — ask your agent for something these tools do # search, micro_comps, cohort and 25 more

Chartlibrary costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

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