Chart Library MCP Server — pattern intelligence for AI agents
Project description
Chart Library MCP Server
Give your AI agent 10 years of chart pattern intelligence. Search 24 million historical patterns and see what happened next.
Install
pip install chartlibrary-mcp
Usage with Claude
# Claude Code
claude mcp add chart-library -- chartlibrary-mcp
# Or run directly
CHART_LIBRARY_API_KEY=cl_your_key chartlibrary-mcp
Tools
| Tool | Description |
|---|---|
analyze_pattern |
Search + forward returns + AI summary (recommended) |
search_charts |
Find 10 most similar historical patterns |
get_follow_through |
Forward returns (1/3/5/10-day) for matches |
get_pattern_summary |
AI-generated plain-English summary |
get_discover_picks |
Daily top patterns ranked by interest score |
search_batch |
Multi-symbol parallel search (up to 20) |
get_status |
Database stats and coverage |
Example Conversation
User: What does NVDA's chart look like right now?
Claude (using Chart Library): NVDA's current pattern matches 10 historical setups. The closest is AAPL from May 2016 (93% similarity). Of the 10 matches, 8 went up over 5 days with an average gain of +3.0%. The current market regime resembles the post-SVB period of early 2023, which historically resolved bullishly.
API Key
Get a free API key (500 calls/day) at chartlibrary.io/developers.
Set it as an environment variable:
export CHART_LIBRARY_API_KEY=cl_your_key
Links
- Website: chartlibrary.io
- API Docs: chartlibrary.io/api/docs
- Developer Portal: chartlibrary.io/developers
- Regime Tracker: chartlibrary.io/regime
Project details
Release history Release notifications | RSS feed
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