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 advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.
An MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.
Lets an AI agent pull the user's own Douyin creator-backend work data — plays, likes, comments, shares, saves, 5-second completion rate and more — into a locally accumulating CSV plus a daily overview, with tools for status checks, fetching, merging, and retrospective analysis. Access is read-only to the user's own account, needs no third-party dependencies, and keeps all data on the local machine.
Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
Provides tools to interact with the Harmonic AI API for company and person enrichment, specifically focusing on venture capital deal flow. It enables users to search for companies using natural language, find similar businesses, and retrieve detailed information on organizations and individuals.
A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.
Enables access to historical Polymarket order book depth, with full L2 bid and ask ladders at 1-second resolution and resolved outcomes, for use in MCP clients like Claude and Cursor.
Provides comprehensive financial analysis and real-time market data including stock information, options chains, technical indicators, financial statements, earnings calendars, and market sentiment indicators through integration with yfinance and other financial APIs.
An MCP server for chemistry: it computes molecular weights and isotope distributions from chemical formulae and resolves compound name/formula lookups, backed by NIST atomic-weight data and a cached finder over multiple online and offline sources.
Provides unified access to Turkish official data from TÜİK (statistics via SDMX) and TCMB EVDS (financial series), enabling search, query, and tidy CSV export with full frequency, aggregation, and formula support.
An MCP server that lets AI clients search and retrieve Doctor of Credit articles, categories, and deals via flexible tools, interpreting article content at request time.
Enables querying a brand's visibility in AI assistant answers, including competitor presence, tracked prompts, and the answers and sources behind the metrics.
Enables read-only research on public X data through tools for posts, threads, profiles, search, trends, collections, and saved-result analysis using free public APIs and optional sessions.