grahammccain/chart-library-mcp
by Various
MCP server for Chart Library — visual chart pattern search engine. Find similar historical stock charts and see what happened next.
MCP
grahammccain/chart-library-mcp
Added 1 June 2026
Overview
MCP server that connects to Chart Library, a visual chart pattern search engine for stock charts. It lets users find similar historical chart patterns and see subsequent price movements.
Best for
Best for
Developers building automated trading or analysis tools who need quick access to historical chart pattern matches.
Use cases
- Search for historical stock chart patterns that match a current chart
- Analyze what happened after a given pattern appeared in the past
- Integrate pattern-based stock analysis into trading workflows via MCP
How to use
Install
pip install chartlibrary-mcp Tools exposed
pull_compscohort_analyzecohort_introspectcohort_attributiontrack_recordsymbol_intelligencereport_feedbackcohort_memberscohort_groupbycohort_rerankget_portfolio_health
Tested with
Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT
Notes
MCP server that connects to Chart Library, a visual chart pattern search engine for stock charts. It lets users find similar historical chart patterns and see subsequent price movements.
8 stars on GitHub. Last updated 2026-05-26. Licensed MIT.
Use cases
- Search for historical stock chart patterns that match a current chart
- Analyze what happened after a given pattern appeared in the past
- Integrate pattern-based stock analysis into trading workflows via MCP
Pros
- Straightforward MCP integration for developers building trading tools
- Provides historical pattern matching with clear outcome data
- Lightweight Python implementation with low setup overhead
Cons
- Relies entirely on Chart Library’s external API and data availability
- Limited to historical stock data, may not cover all markets or timeframes
- Low community adoption (8 stars) suggests limited ecosystem or support
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Straightforward MCP integration for developers building trading tools
- Provides historical pattern matching with clear outcome data
- Lightweight Python implementation with low setup overhead
Cons
- Relies entirely on Chart Library's external API and data availability
- Limited to historical stock data, may not cover all markets or timeframes
- Low community adoption (8 stars) suggests limited ecosystem or support
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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