Chart Library

25M+ pattern embeddings. 10 years of history. 19K+ stocks. One tool call.

> "What does NVDA's chart on 2024-08-05 1h look like historically?" NVDA · 2024-08-05 · 1h — cohort of 500 historical analogs (485 with realized 5-day returns) Distribution at 5 days forward: median: −1.3% p10 ·· p90: −11.3% ·· +6.8% (80% empirical band) win rate: 44% cohort_score: 0.31 (modest) Features that separated winners from losers: + credit_spread_state = tight + macro_state = bullish + pct_off_52w_low (further off) − vol_regime = low Summary: NVDA's 1-hour pattern on 2024-08-05 has 500 historical analogs. The cohort's 5-day distribution is bearish-leaning (median −1.3%, win rate 44%) — the historical record does NOT show this pattern typically resolving bullish. Conditioning on tight credit spreads and a bullish macro state would have separated the outperformers within the cohort.

A retrieval, not a forecast. No hallucinated predictions. No cherry-picking. Just the empirical record your agent can cite.

claude mcp add chart-library -- chartlibrary-mcp

{ "mcpServers": { "chart-library": { "command": "chartlibrary-mcp", "env": { "CHART_LIBRARY_API_KEY": "cl_your_key" } } } }

Add to.cursor/mcp.jsonor VS Code MCP settings:

{ "servers": { "chart-library": { "command": "chartlibrary-mcp", "env": { "CHART_LIBRARY_API_KEY": "cl_your_key" } } } }

Add to.vscode/mcp.jsonin your project (this file is already included in the chart-library repos):

{ "servers": { "chart-library": { "command": "chartlibrary-mcp", "env": { "CHART_LIBRARY_API_KEY": "cl_your_key" } } } }

Copilot Chat will auto-detect the MCP server when you open the project. Use@mcpin Copilot Chat to invoke tools.

ChatGPT connects to MCP servers via remote HTTP endpoints. To set up:
- Enable Developer Mode: Go to ChatGPTSettings > Apps > Advanced settings > Developer mode(requires Pro, Plus, Business, Enterprise, or Education plan)
- Create a connector: In Settings > Connectors, clickCreateand enter:

- Name: Chart Library
- Description: Historical chart pattern search engine — 25M+ patterns across 19K+ stocks, 10 years of data
- URL:https://chartlibrary.io/mcp
- Authentication: No Authentication (or OAuth if using an API key)

Note: The remote endpoint athttps://chartlibrary.io/mcpuses Streamable HTTP transport. If you need SSE fallback, usehttps://chartlibrary.io/mcp/sse.

For any MCP client that supports remote HTTP connections:

This endpoint supports both Streamable HTTP and SSE transports, no local installation required.

"Should I be worried about my TSLA position?"

> search(query="TSLA") → cohort_id > explain(cohort_id=..., style="position_guidance") Signal: HOLD Of the historical analogs to this setup, those that exited early avoided a drawdown 3/10 of the time; those that held gained a further +2.1% median over the next 5 days. No exit signal triggered — the cohort's record leans toward continuation, not reversal.

"What sectors are rotating in right now?"

> context(target="market") Sector relative strength (30-day): Leaders: XLK Technology +4.2% · XLY Cons. Disc. +3.1% · XLC Comm. +2.8% Laggards: XLU Utilities −1.4% · XLP Cons. Staples −2.1% · XLRE Real Estate −3.3% Regime: Risk-On (growth > defensives), SPY above 20d, VIX mid-band.

"How does AMD behave when the broad tape is weak?"

> search(query="AMD 2024-06-18") → cohort_id > cohort_groupby(cohort_id=..., by="ctx_spy_trend_20d") AMD's cohort, split by the SPY trend at each analog's date: SPY weak (bottom quartile): median 5d −5.2% · p10/p90 −11.4%/+1.1% · 18% positive SPY strong (top quartile): median 5d +2.6% · p10/p90 −3.1%/+8.4% · 61% positive A distribution conditioned on the tape — historical analogs, not a beta forecast.

Chart Library v6 exposes the same granular surface as the remote server atchartlibrary.io/mcp— so the pip package, the Claude connector, and the REST API all use the same tool names. The core loop issearch → pull_comps → cohort_introspect. Chain tools via thecomp_set_id/cohort_idhandle for sub-second refinement without re-running kNN.

Full-cohort handover— hand the raw cohort back so you can bucket/sort byyourobjective, not our default lens:

export CHART_LIBRARY_API_KEY=cl_your_key

The MCP server itself sends only the arguments of your tool calls tochartlibrary.io(no local file or directory contents, no clipboard, no browser history). YourCHART_LIBRARY_API_KEYis sent only as a Bearer header to authenticate with the chart-library API.

- Transport: all calls to the remote API are HTTPS (TLS 1.2+).
- Authentication: optional API key passed as a Bearer header; the free Sandbox tier requires no key.
- No write accessto your environment, files, or other accounts. The single MCP tool that performs a write (report_feedback) only writes back to chart-library's own feedback inbox and never touches your system.

Chart Library provides historical pattern data for informational purposes. Not financial advice.

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