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Merge pull request #15220 from dockndevai/add-mcp-laya
Add dockndevai/mcp-laya to Data Science Tools
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@@ -1838,6 +1838,8 @@ Tools and integrations that enhance the development workflow and environment man
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Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
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Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
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- [dockndevai/mcp-laya](https://github.com/dockndevai/mcp-laya) [](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`
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- [inity13/decisionmatrix-mcp](https://github.com/inity13/decisionmatrix-mcp) [](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.
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- [inity13/decisionmatrix-mcp](https://github.com/inity13/decisionmatrix-mcp) [](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.
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- [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - Math engine combining SymPy, NumPy and Matplotlib for symbolic algebra, numerical computing and data visualization.
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- [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - Math engine combining SymPy, NumPy and Matplotlib for symbolic algebra, numerical computing and data visualization.
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- [agmonetti/mathmethods-mcp](https://github.com/agmonetti/mathmethods-mcp) [](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp) 🐍 🏠 🍎 🪟 🐧 - Numerical methods: root finding, numerical integration, differential equations (RK4) and Lagrange interpolation.
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- [agmonetti/mathmethods-mcp](https://github.com/agmonetti/mathmethods-mcp) [](https://glama.ai/mcp/servers/agmonetti/mathmethods-mcp) 🐍 🏠 🍎 🪟 🐧 - Numerical methods: root finding, numerical integration, differential equations (RK4) and Lagrange interpolation.
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