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    Enables AI assistants to read, write, and manage Microsoft OneNote notebooks, sections, and pages through OAuth-authenticated MCP tools, resources, and prompts.
    Last updated
    16
    22
    1
    MIT
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    Enables AI assistants to interact with Coda docs, pages, tables, rows, formulas, and more via the Coda API, offering 54 tools, 12 resources, and 5 prompts for comprehensive document management.
    Last updated
    54
    2
    MIT
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    Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.
    Last updated
    4
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    MIT
  • F
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    A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.
    Last updated
    6
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    A minimal MCP server example demonstrating Tools, Resources, and Prompts. It enables calculations, time queries, note management, and code review prompts via stdio transport.
    Last updated
    3
    7
    MIT
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    Enables interaction with macOS Reminders app through AppleScript, allowing users to create, read, update, and delete reminders and lists, with support for filtering, batch operations, and reminder properties like priority and due dates.
    Last updated
    13
    11
    MIT
  • F
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    A minimal MCP server demonstrating tools, resources, and prompts for managing notes, with a simple notes app that supports adding, listing, deleting notes and summarizing them.
    Last updated
    3
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    A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.
    Last updated
    6
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    13
    MIT