Provides GitHub open-source intelligence via MCP tools for discovering trends, evaluating repository health, comparing projects, and analyzing users, issues, and releases. It includes a CLI and can be used with AI assistants like Claude or Cursor.
A high-performance server for analyzing GitHub user starred repositories, providing insights into development trends, technology adoption patterns, and timeline tracking.
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.
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.
Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.
Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.
Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.
Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.
A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
Enables searching and retrieving articles, citations, and structured content from Grokipedia for research and information retrieval. It provides specialized tools for section extraction, related page discovery, and filtered search results.
Delivers comprehensive company intelligence in a single tool call, aggregating profiles, tech stacks, key people, news, and corporate data from any domain or company name. Sources data from Wikipedia, GitHub, OpenCorporates, and web scraping to provide structured business insights using only free public APIs.
Enables querying Yandex Wordstat search statistics, including frequency, related queries, seasonality, and regional distribution, through natural language in AI clients.
Provides free Google Trends data (interest over time, term comparison, related queries, trending now, regional breakdown) to MCP-compatible AI clients without needing an API key.
An MCP server for the Open Food Facts API that allows users to search, read, and contribute to a global food database. It enables looking up nutrition data by barcode or name and managing product information through natural language.
Local MCP adapter for public Stock Trends API resources, enabling credential-free access to public resources and a workflow cost estimation tool. It does not generate investment advice; it only translates published API responses for MCP clients.