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    Enables to perform actuarial chain-ladder reserving calculations, including IBNR estimation, ultimate projections, Mack stochastic error estimates, and diagnostic tests, through natural language conversation with Claude.
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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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    Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.
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    Apache 2.0
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    Enables AI agents to perform Chinese metaphysics calculations including BaZi charts, Tong Shu indicators, solar terms, and more, using a verified engine with 740+ tests.
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    MIT
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    A stdio MCP server that gives LLMs a safe scientific calculator with infix math, complex numbers, matrices, statistics, unit conversions, and more via tools that return JSON.
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    MIT
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    Enables AI assistants to guide users through MBTI personality tests with two modes (28-question simplified or 48-question cognitive functions), track progress, and provide detailed personality type analysis and results.
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    MIT
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    MCP server for the Internet Archive's Wayback Machine. Search archived snapshots, extract page text from a specific date, track how a site has changed over time, check if broken links are recoverable, and perform research across Internet Archive collections.
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    3
    MIT
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    An MCP server that enables Claude to perform financial analysis and visualization of Korean listed companies using the DART API. It supports detailed financial metrics, business unit sales breakdowns, and company comparisons for KOSPI and KOSDAQ stocks.
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    A Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.
    Last updated
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    MIT
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    Deterministic time-series statistics for AI agents. This MCP server gives any LLM agent unit-tested statistical tools — anomaly detection, changepoint detection, seasonal decomposition, stationarity/trend tests, data-quality audits, baseline forecasts — with schema-validated structured output and no arbitrary code execution.
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    MIT
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    Enables AI assistants to search, query, and manage ocean/environmental datasets from the Oceanum platform, and to read, write, and delete files in Oceanum cloud storage.
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    MIT