Chart Library

Name: Chart Library
Author: grahammccain

by grahammccaincommunityv6.1.0

The Chart Library MCP Server provides access to a historical chart pattern search engine, allowing users to analyze stock patterns and their outcomes based on 24 million pre-computed embeddings.

From the registry: Historical chart-pattern intelligence for AI agents. 25M+ embeddings, 19K+ symbols, 10y history.

GitHub Repository

Install & configure

Prerequisites

required
Install via pip
Install the chartlibrary-mcp Python package
```
$ pip install chartlibrary-mcp
```
https://pypi.org/project/chartlibrary-mcp/
optional
API Key (optional)
Get a free API key (200 calls/day) at chartlibrary.io/developers
https://chartlibrary.io/developers

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `chart-library` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install via pip** — Install the chartlibrary-mcp Python package Run: `pip install chartlibrary-mcp` (https://pypi.org/project/chartlibrary-mcp/)

Optional prerequisites:
- API Key (optional) — Get a free API key (200 calls/day) at chartlibrary.io/developers (https://chartlibrary.io/developers)

Canonical MCP server config (stdio transport):
- command: `chartlibrary-mcp`
- args: []
- optional environment variables:
  - `CHART_LIBRARY_API_KEY`: Chart Library API key (free tier: 200 calls/day) (example: `cl_<your-api-key>`)

Note: Also available as remote endpoint https://chartlibrary.io/mcp (Streamable HTTP/SSE). 24M pattern embeddings, historical chart pattern search.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Also available as remote endpoint https://chartlibrary.io/mcp (Streamable HTTP/SSE). 24M pattern embeddings, historical chart pattern search.

Tools (19)

analyze_pattern

Full analysis in one call: search + returns + AI summary

search_charts

Find the 10 most similar historical patterns for any ticker

get_follow_through

1/3/5/10-day forward returns from matches

get_pattern_summary

Plain-English AI summary of pattern implications

get_discover_picks

Today's top patterns ranked by interest score

search_batch

Analyze up to 20 symbols in parallel

get_status

Database coverage and health stats

detect_anomaly

Is this pattern unusual vs the stock's own history?

get_volume_profile

Intraday volume breakdown vs historical norms

get_sector_rotation

Sector leadership rankings with regime classification

get_crowding

Signal crowding: are too many stocks pointing the same way?

get_earnings_reaction

How has this stock historically reacted to earnings?

get_correlation_shift

Stocks breaking from their usual SPY correlation

Environment variables

CHART_LIBRARY_API_KEYrequiredAPI key for accessing the Chart Library services

Packages

chartlibrary-mcp

pypiv6.1.0transport: stdio

Details

Language: Python
License: MIT
Released: Jun 10, 2026
Last commit: Jun 10, 2026
Registry name: io.github.grahammccain/chart-library

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