Enables scraping of emails, phone numbers, and social profile links from website domains. Supports batch processing of up to 20 domains and can find company websites by keyword/company name.
An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.
Personal MCP server that wraps K-IFRS, K-GAAP, auditing standards, and Q&A from kifrs.com and FSS, providing 16 tools for search, citation verification, and feedback.
An MCP server that provides access to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, offering 30 tools for searching and analyzing biological data like pathways, genes, and compounds. It supports integration with LangChain and Ollama to enable LLMs to interact with comprehensive genomic and chemical datasets.
Enables B2B lead generation through Apify's Prospect Engine actor, supporting company enrichment, job discovery, contact finding, and full ICP-gated outreach workflows.
Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.
MCP server for aggregating and analyzing hot news from multiple platforms, with AI-powered summaries, smart filtering, and multi-channel notifications.
Enables comprehensive content analysis through web scraping, document processing (PDF, DOCX, TXT, RTF), screenshot analysis, and local Excel database management. Provides intelligent workflows for extracting, analyzing, and storing content from multiple sources with automated categorization and search capabilities.
MCP server for Australian Institute of Health and Welfare statistics — plain-English access to mortality, cancer, hospital, and health expenditure data via data.gov.au.
MCP server for local Zotero on Windows and WSL, enabling read access to items, collections, annotations, and notes via the Local API, and safe write operations through a plan/apply workflow with Web API verification.
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.
CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.
MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.