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Add dockndevai/mcp-laya to Data Science Tools 🤖

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@@ -1801,6 +1801,8 @@ Tools and integrations that enhance the development workflow and environment man
Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
- [dockndevai/mcp-laya](https://github.com/dockndevai/mcp-laya) [![dockndevai/mcp-laya MCP server](https://glama.ai/mcp/servers/dockndevai/mcp-laya/badges/score.svg)](https://glama.ai/mcp/servers/dockndevai/mcp-laya) 🐍 🏠 🍎 🪟 🐧 - Fast, local, non-autoregressive System-1 decision engine as MCP tools — typed decisions (classify / score / yes-no) over text, email, tickets or JSON in 100+ languages, with calibrated confidence and no text generation, so nothing to hallucinate. Offloads routing/triage/gating judgment calls from the main model; runs on-device, offline by default. `pipx install mcp-laya`
- [inity13/decisionmatrix-mcp](https://github.com/inity13/decisionmatrix-mcp) [![inity13/decisionmatrix-mcp MCP server](https://glama.ai/mcp/servers/inity13/decisionmatrix-mcp/badges/score.svg)](https://glama.ai/mcp/servers/inity13/decisionmatrix-mcp) 📇 ☁️ - Deterministic multi-criteria decision analysis: rank options on weighted criteria via weighted-sum, weighted-product or TOPSIS, with sensitivity analysis.
- [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - Math engine combining SymPy, NumPy and Matplotlib for symbolic algebra, numerical computing and data visualization.
- [agmonetti/mathmethods-mcp](https://github.com/agmonetti/mathmethods-mcp) [![agmonetti/mathmethods-mcp MCP server](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp/badges/score.svg)](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp) 🐍 🏠 🍎 🪟 🐧 - Numerical methods: root finding, numerical integration, differential equations (RK4) and Lagrange interpolation.