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    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
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    Unlicense - libtelnet variant
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    MIT
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    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
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    MIT
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    MCP server for the Swiss Federal Office of Public Health Infectious Disease Dashboard, providing access to epidemiological surveillance data for 51 pathogens across Switzerland, including influenza, COVID-19, measles, and wastewater surveillance.
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    MIT
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    MCP server exposing Interactive Brokers' portfolio risk analysis, including model greeks, implied volatility surface, what-if margin, and a local stress engine for P&L curve analysis.
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    MIT
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    Unified MCP safety server that detects prompt injection (75 patterns), scans LLM outputs for leaked secrets/PII, enforces API cost budgets, and creates signed audit trails. Zero ML dependencies, pure Python.
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    MIT
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    Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.
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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.
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    GPL 3.0
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    Enables AI agents to check URL safety before fetching content, using Google Web Risk, URLhaus, PhishTank, and AI analysis to return SAFE/SUSPICIOUS/DANGEROUS verdicts.
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    Provides AI assistants with clean access to 58 US macroeconomic indicators from the FRED database, with pre-computed changes and no need to know series IDs.
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    MIT
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    MCP server that exposes Italian workplace safety data (D.Lgs 81/08) to any MCP-compatible AI assistant, providing tools and resources for querying ATECO sectors, required training courses, renewal schedules, glossary terms, and regulations.
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    MIT