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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

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