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.
A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
Unified dark web and threat intelligence MCP server providing 66 tools across 16 data sources, including breach databases, ransomware tracking, Tor .onion access, blockchain intel, and malware analysis for AI agents.
A hosted Model Context Protocol server that connects AI agents to a project-scoped growth workspace, exposing tools for project knowledge, analytics, research, planning, media generation, drama intelligence, and skill sync.
Enables MCP clients to query the Open Science Framework for public research project metadata, abstracts, and component listings using OSF project IDs or URLs.
A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
Cryptocurrency fundamental analysis tools via MCP. Enables users and AI agents to evaluate cryptocurrencies across 8 metrics using Sound Value principles. Provides educational material, fair value estimates, and valuation categories.
The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
An MCP server that detects duplicated research directions and probes blind spots before committing to a project, helping researchers avoid wasted effort.
An MCP server that reproduces the results of Nikitin et al., 'Towards Explainable Computational Toxicology: Linking Antitargets to Rodent Acute Toxicity' as callable tools, enabling users to compute toxicity predictions and mechanistic analyses deterministically from a bundled dataset.
Remote MCP server for the Torn City API v2, enabling querying of player, faction, market, and other game data, plus aggregated intelligence reports, all via natural language.
An MCP chatbot server that answers questions about a Reinforcement Learning graduate project by dynamically selecting and calling structured tool functions to retrieve precise project data, including training rounds, hyperparameters, and infrastructure details.