Awesome/awesome-mcp-servers
1
0
Fork 0
mirror of https://github.com/punkpeye/awesome-mcp-servers.git synced 2026-09-10 09:41:03 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #11854 from inity13/add-decisionmatrix

Browse Source 
Add inity13/decisionmatrix-mcp (Data Science Tools)
This commit is contained in:
Frank Fiegel
2026-09-07 11:02:32 -06:00
committed by GitHub
parent 39fe259d38 c2e267f9ae
commit 0c88c23b90
1 changed files with 1 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1
View File
@@ -1684,6 +1684,7 @@ 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) [![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 (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) [![Archerkattri/mathlas MCP server](https://glama.ai/mcp/servers/Archerkattri/mathlas/badges/score.svg)](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) [![Archerkattri/mathlas MCP server](https://glama.ai/mcp/servers/Archerkattri/mathlas/badges/score.svg)](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.