MCP servers: Data Science Tools

Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP

An MCP server to convert almost any file or web content into Markdown

Unit conversion and dimensional analysis backed by the bundled GNU units database (3000+ units, compound expressions, reduction to SI base units). Offline and deterministic. `uvx mcp-gnu-units`.

claude mcp add mcp-gnu-units -- uvx mcp-gnu-units

connects Jupyter Notebook to Claude AI, allowing Claude to directly interact with and control Jupyter Notebooks.

Connects to Kaggle, ability to download and analyze datasets.

Predict anything with Chronulus AI forecasting and prediction agents.

Model Context Protocol (MCP) Server for Jupyter.

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`.

claude mcp add blackmount-nlp-mcp -- pip install blackmount-nlp-mcp

Deterministic batch tools so LLM agents stop next-token-guessing dates and math. Rich `now()` snapshot (18 fields), `calendar(ops)` batch dispatcher (diff/until/since/add/weekday/business_days, natural-language parsing), `calc(expressions)` Python eval with math+stats pre-loaded, and Pint-based unit conversion. One wiring for dates + math + units. Listed in the official MCP Server Registry. `uvx gnomon-mcp`.

claude mcp add gnomon-mcp -- uvx gnomon-mcp

Enables agents to query local information about dependencies in a Ruby project's `Gemfile`.

Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.