5 boosters for "data-analysis" — open source, verified from GitHub, ready to install
Cursor rules that provide AI coding agents with guidance for developing the Streamlit library itself (backend, frontend, protobufs), rather than building Streamlit applications.
This MCP Server integrates Naver Search API with Claude, enabling AI assistants to perform Korean web searches, trend analysis, and data retrieval. It's valuable for developers building AI applications targeting Korean markets or requiring Korean-language search capabilities.
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Heuristic scoring (no AI key configured).
Mini MCP is an MCP server that enables natural language querying and analysis of CSV files and structured data using DuckDB, allowing Claude users to explore datasets conversationally without writing SQL.
