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Add blackmount-nlp-mcp to Data Science Tools

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Mehrdad G Shirangi
2026-04-17 15:38:35 -07:00
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@@ -1053,6 +1053,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan
- [arrismo/kaggle-mcp](https://github.com/arrismo/kaggle-mcp) 🐍 ☁️ - Connects to Kaggle, ability to download and analyze datasets.
- [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`.
- [Bright-L01/networkx-mcp-server](https://github.com/Bright-L01/networkx-mcp-server) 🐍 🏠 - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization.
- [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents.
- [clouatre-labs/math-mcp-learning-server](https://github.com/clouatre-labs/math-mcp-learning-server) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0.