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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
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    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
  • A
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    MCP server for Apple Notes with semantic search (on-device embeddings via all-MiniLM-L6-v2), full-text search, complete CRUD operations, folder management, and fuzzy title matching. 10 tools. Runs fully locally on macOS — no API keys required.
    Last updated
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    MIT
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    Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.
    Last updated
    13
    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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    Automatically maintains a personal journal on behalf of an AI agent, storing text, photos, and voice notes as plain markdown files locally. Enables agents to add entries, recall memories, and reflect on patterns without user intervention.
    Last updated
    11
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    MIT
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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
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    MIT