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Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, search and retrieval — a free tier with paid upgrades, source available on GitHub.
AI / Catalogue record
Freemium
Catalogue record
github.com
chart-library-mcp
🐍 ☁️ - Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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🐍 ☁️ - Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search by ticker+date or screenshot to find the most similar historical patterns and see what happened next. 19 tools including pattern search, forward returns, regime analysis, and trade simulation. Install: pip install chartlibrary-mcp. Free tier: 200 calls/day.
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Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, search and retrieval — a free tier with paid upgrades, source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
Chart Library MCP
GitHub / grahammccain/chart-library-mcp
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