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    A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.
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    MIT
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    Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.
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    Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.
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    MIT
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    An MCP server for Notion API with optimized token efficiency and full database property filtering, enabling AI assistants to manage pages, databases, and blocks.
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    Enables AI agents to interact with Notion workspaces through the Notion API. Supports reading, writing, commenting, and managing Notion pages and databases with optimized token consumption for AI agents.
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    MIT
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    An ADHD-friendly productivity system that uses AI to provide frictionless capture of tasks and ideas through natural language input, with automatic context detection and intelligent routing to appropriate project trackers. Eliminates cognitive overhead by working with ADHD thinking patterns rather than against them.
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    An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.
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    MIT
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    Turns an LLM agent into a personal planner by providing atomic context (roles, goals, decision matrix) and routing classified items to Obsidian, with optional projection to Google Calendar and Tasks.
    Apache 2.0
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    Enables users to create, review, and manage flashcards using the SM-2 spaced repetition algorithm for optimized learning. It supports organizing cards into projects and automatically handles review scheduling based on user performance.
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    MIT
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    Persistent semantic memory server for Obsidian vaults, enabling AI agents to search, read, write, and explore notes with semantic understanding and incremental indexing.
    Apache 2.0
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    A token-optimized MCP server for Notion that reduces context window usage by 73% while preserving full functionality, enabling AI assistants to interact with Notion efficiently.
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    An MCP server that turns your Notion task list into an AI-optimized daily schedule, reading tasks with page content and priorities from an Eisenhower matrix, and writing a clean schedule back to Notion.
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    A lightweight Python-based MCP server for managing recipes and favorite collections. It provides a structured service-style layout to handle recipe business logic, persistence, and external client interactions.