mirror of
https://github.com/punkpeye/awesome-mcp-servers.git
synced 2026-09-10 17:45:57 +00:00
Add inity13/decisionmatrix-mcp to Data Science Tools
This commit is contained in:
@@ -1526,6 +1526,7 @@ 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.
|
Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.
|
||||||
|
|
||||||
|
- [inity13/decisionmatrix-mcp](https://github.com/inity13/decisionmatrix-mcp) [](https://glama.ai/mcp/servers/inity13/decisionmatrix-mcp) 📇 ☁️ - Deterministic multi-criteria decision analysis (MCDA): score, rank & explain options against weighted criteria with weighted-sum, weighted-product, or TOPSIS, plus sensitivity analysis (which weights would flip the winner). Exact decimals, stateless. Free hosted endpoint or self-host (MIT). `https://decisionmatrix-mcp.pages.dev/mcp`
|
||||||
- [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
|
- [abhiphile/fermat-mcp](https://github.com/abhiphile/fermat-mcp) 🐍 🏠 🍎 🪟 🐧 - The ultimate math engine unifying SymPy, NumPy & Matplotlib in one powerful server. Perfect for developers & researchers needing symbolic algebra, numerical computing, and data visualization.
|
||||||
- [Archerkattri/mathlas](https://github.com/Archerkattri/mathlas) [](https://glama.ai/mcp/servers/Archerkattri/mathlas) 🐍 🏠 - Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.
|
- [Archerkattri/mathlas](https://github.com/Archerkattri/mathlas) [](https://glama.ai/mcp/servers/Archerkattri/mathlas) 🐍 🏠 - Airtight math for agents: 3.7M-theorem search, PSLQ constant ID, OEIS, real Lean kernel checks, applicability checklists. No LLM inside, no API key.
|
||||||
- [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
|
- [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
|
||||||
|
|||||||
Reference in New Issue
Block a user