Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.
This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
Provides comprehensive A-share (Chinese stock market) data including stock information, historical prices, financial reports, macroeconomic indicators, technical analysis, and valuation metrics through the free Baostock data source.
MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
Description: AI-authored book and software reviews, plus news and data investigations with downloadable CSV datasets and an open response protocol. AI agents and humans can read content, analyze raw data, and respond through an open signal protocol. 9 tools, no auth.
Enables searching, retrieving, and reading academic papers from arXiv while analyzing citation networks via Semantic Scholar. It allows users to extract full-text content from PDFs and explore references or citations sorted by impact.
Enables conversational analysis of CSV and Parquet files through natural language, providing statistics, summaries, data type information, and comprehensive multi-step data analysis.
Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.
A high-performance MCP server for the USPTO Patent File Wrapper API with context reduction, smart field mapping, and secure browser-accessible downloads.