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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
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    AGPL 3.0
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    Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.
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    MIT
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    Enables AI agents to monitor MetaTrader 5 accounts on remote Windows VPS via SSH, providing read-only access to positions, history, and logs without executing trades.
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    MIT
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    A Docker-ready MCP remote server that connects MCP clients like OpenCode to the Mobbin REST API using API keys, enabling access to Mobbin app design patterns and data without OAuth.
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    A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.
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    Enables AI assistants and agents to search and retrieve validated customer insights from a Condens research repository, grounding their outputs in real customer knowledge.
    MIT
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    Enables comprehensive academic research by searching and analyzing papers from PubMed, Google Scholar, ArXiv, and JSTOR. Provides full-text access, citation management, and research organization through five powerful consolidated tools.
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    MIT
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    Enables comprehensive biomedical literature research through PubMed database access with advanced search, full-text retrieval, citation analysis, and batch processing capabilities. Supports both local deployment and cloud hosting for seamless integration with AI assistants.
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    MIT
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    An MCP server that enables the analysis of CSV and Parquet files by providing tools for statistical summaries, data previews, and structure exploration. It allows users to query local datasets and create sample data using natural language.
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    Enables interaction with LimeSurvey API to create and manage surveys, questions, question groups, activate surveys, and export responses through standardized MCP endpoints.