Merge pull request #12992 from aurelio-nakamura/add-dataloupe

Add dataloupe (offline tabular-data MCP server) to Data Science Tools 🤖🤖🤖

README.md

@@ -1715,6 +1715,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
 - [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.
 - [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
+- [aurelio-nakamura/dataloupe](https://github.com/aurelio-nakamura/dataloupe) [![aurelio-nakamura/dataloupe MCP server](https://glama.ai/mcp/servers/aurelio-nakamura/dataloupe/badges/score.svg)](https://glama.ai/mcp/servers/aurelio-nakamura/dataloupe) 📇 🏠 🍎 🪟 🐧 - Local, offline access to tabular data for AI assistants: list/describe/preview/query CSV/TSV/JSON/Parquet/Excel files, diff two datasets, and generate a self-contained interactive HTML explorer to open in any browser — nothing leaves your machine. Install via `npx -y github:aurelio-nakamura/dataloupe mcp`.
 - [avisangle/calculator-server](https://github.com/avisangle/calculator-server) 🏎️ 🏠 - A comprehensive Go-based MCP server for mathematical computations, implementing 13 mathematical tools across basic arithmetic, advanced functions, statistical analysis, unit conversions, and financial calculations.
 - [bradleylab/stella-mcp](https://github.com/bradleylab/stella-mcp) 🐍 🏠 - Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling.
 - [BlackMount-ai/blackmount-nlp-mcp](https://github.com/BlackMount-ai/blackmount-nlp-mcp) [![BlackMount-ai/blackmount-nlp-mcp MCP server](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp/badges/score.svg)](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic local text analysis: sentiment, readability scoring, keyword extraction, text similarity, summarization, and language detection across 18 languages. Pure Python, zero heavy dependencies, 42 KB wheel. Install: `pip install blackmount-nlp-mcp`.