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"league of legends" matching MCP servers:

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    A comprehensive League of Legends data ecosystem that provides access to champion statistics, item data, and patch history via the Model Context Protocol. It enables analysis of game mechanics, build optimization, and meta tracking through real-time data integration.
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    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.
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    AoT MCP server enables AI models to solve complex reasoning problems by decomposing them into independent, reusable atomic units of thought, featuring a powerful decomposition-contraction mechanism that allows for deep exploration of problem spaces while maintaining high confidence in conclusions.
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    MIT
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    An MCP server for interacting with the Open Science Framework (OSF), enabling search for projects, registrations, preprints, and file management.
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    MIT
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    An MCP server that provides access to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, offering 30 tools for searching and analyzing biological data like pathways, genes, and compounds. It supports integration with LangChain and Ollama to enable LLMs to interact with comprehensive genomic and chemical datasets.
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    MIT
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    Manages ESPN fantasy football teams post-draft, enabling lineup optimization, waiver/free agent recommendations, injury tracking, trade analysis, and playoff odds via read-only tools.
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    MIT
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    This MCP server provides League of Legends math and cognitive-readiness tools for AI agents, including MMR estimation, climb projection, KDA calculation, and sleep/reaction time research. It requires no API key or network calls, as every tool is a pure function with visible arithmetic.
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    MIT
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    Provides AI assistants with direct query access to the AACT (Aggregate Analysis of ClinicalTrials.gov) database, allowing structured retrieval and analysis of clinical trial data.
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    MIT
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    MCP server that provides structured access to real-time sportsbook data from iddaa, including live events, competitions, and league fixtures with strategy analysis. Designed for AI agents and automation workflows.
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    MIT
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    Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.
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    Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.
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    Prototype of a Model Context Protocol (MCP) server that provides access to X-ray properties of elements via the XrayDB library.
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