chart-library-mcp/manifest.json at master · grahammccain/chart-library-mcp · GitHub

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{
  "manifest_version": "0.2",
  "name": "chart-library",
  "display_name": "Chart Library",
  "version": "6.1.0",
  "description": "Historical chart-pattern intelligence for agents. Flagship tool pull_comps pulls the comp set for a subject (symbol, date, timeframe); 14 canonical tools in all (search, pull_comps, cohort_introspect, symbol_intelligence, cohort_members, cohort_groupby, cohort_rerank, cohort_attribution, track_record, analyze, context, explain, portfolio, report_feedback), backed by 25M+ embeddings across 19K+ symbols and 10 years of US equity history. The core loop is search → pull_comps → cohort_introspect. Output is a calibrated distribution of historical analogs, not a forecast.",
  "long_description": "Chart Library is the empirical memory of markets — anchor any (symbol, date, timeframe) and your AI agent gets the cohort of 300+ historical analogs, the full forward-return distribution (p10/p25/p50/p75/p90 with conformal-calibrated bands), MAE/MFE risk profile, and the features that separated winners from losers. Designed for grounded financial reasoning: every response is a fact about what historically happened, not a forecast. The 80% empirical band has held 80.8% across 303,556 cases; calibration is the moat, not pattern detection.\n\nUse cases: pre-trade base rate check, regime-conditioned scenario analysis, position sizing from historical risk profile, portfolio-level cohort exposure, news-driven narrative pulse, daily setup discovery.",
  "author": {
    "name": "Chart Library",
    "email": "graham@chartlibrary.io",
    "url": "https://chartlibrary.io"
  },
  "server": {
    "type": "python",
    "entry_point": "mcp_server.py",
    "mcp_config": {
      "command": "python",
      "args": [
        "${__dirname}/mcp_server.py"
      ],
      "env": {}
    }
  },
  "license": "MIT",
  "homepage": "https://chartlibrary.io",
  "documentation": "https://chartlibrary.io/developers",
  "support": "https://github.com/grahammccain/chart-library-mcp/issues",
  "repository": {
    "type": "git",
    "url": "https://github.com/grahammccain/chart-library-mcp"
  },
  "keywords": [
    "chart patterns",
    "stock analysis",
    "trading",
    "market intelligence",
    "AI agent",
    "financial data",
    "cohort intelligence",
    "base rates"
  ],
  "privacy_policies": [
    "https://chartlibrary.io/privacy"
  ],
  "user_config": {
    "CHART_LIBRARY_API_KEY": {
      "type": "string",
      "title": "Chart Library API Key",
      "description": "Optional. Free Sandbox tier (search, context, follow-through, status) works without a key. Layer 3 tools (pull_comps, cohort_analyze, cohort_introspect, symbol_intelligence, cohort_members, cohort_groupby, cohort_rerank, cohort_attribution) require a Builder tier key — get one free at https://chartlibrary.io/developers.",
      "sensitive": true,
      "required": false
    }
  }
}