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"Information on Formula 1" matching MCP servers:

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    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.
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    MIT
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    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.
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    Enables Formula 1 data analysis through natural language, providing tools like track dominance, lap time analysis, and team performance comparisons.
    Apache 2.0
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    An MCP server that provides 118+ Formula 1 analytics tools, enabling race analysis, driver comparisons, telemetry exploration, and strategy simulation through natural language.
    MIT
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    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.
    MIT
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    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.
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    MIT
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    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.
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    MIT
  • A
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    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.
    4
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    GPL 3.0
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    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.
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    MIT
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    Enables document and image parsing to extract text, tables, and formulas from PDFs, screenshots, and scanned documents. Features OCR capabilities, table recognition, LaTeX formula conversion, and MLX acceleration optimized for Apple Silicon.
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    Apache 2.0
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    Enables users to search and retrieve detailed pharmaceutical drug information from the Korea Pharmaceutical Information Center (KPIC) API. Supports drug name searches and detailed lookups by drug code including ingredients, usage, precautions, and storage information.
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    MIT
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    Enables searching over 1 million enriched job listings from 20,000+ companies directly from MCP-compatible AI tools. Provides tools for job search, company profiles, and AI-powered similar job recommendations with real-time data updates.
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    MIT
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    Enables searching academic papers on arXiv and retrieving detailed information such as title, authors, summary, and PDF link.
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    MIT
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    Enables comprehensive access to PubChem's chemical database with over 110 million compounds. Supports chemical searches, structure analysis, bioactivity data, safety information, and molecular property calculations through 30 specialized tools.
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    MIT
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    Enables access to Japan's official government statistics portal (e-Stat) API to search, retrieve, and analyze statistical data including census data, economic indicators, and demographic information across 17 statistical fields.
    13