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    Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.
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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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    Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.
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    Apache 2.0
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    From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f
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    MIT
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    Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.
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    MIT
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    Provides AI assistants with access to the Adzuna Job Search API to search millions of job listings, analyze salary data, and research top employers across 12 countries with comprehensive filtering options.
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    MIT
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    Enables AI assistants to analyze Korean financial disclosures (DART) with insider trading signals, accounting risk scores, Buffett-style quality checklists, and automatic conversion of HWP/PDF attachments to markdown.
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    MIT
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    AGPL 3.0
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    Enables AI assistants to interact with BCS brokerage accounts for portfolio viewing, quotes, order book, candles, position analysis, and rebalancing planning using natural language, with read-only mode by default and optional trade execution with confirmation.
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    Apache 2.0