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"How to Create Workflows in n8n" matching MCP servers:

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    A Python-based MCP server adapted from the n8n_agent project that implements a note storage and summarization system. It enables users to create, retrieve, and summarize notes through the Model Context Protocol.
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    A personal notes MCP server that allows AI assistants to create, search, edit, and manage notes stored in a local SQLite database.
    6
    MIT
  • A
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    Enables LLMs to create, read, and append notes in Apple Notes through AppleScript, with append-only operations restricted to a single folder for safety.
    4
    MIT
  • A
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    Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.
    7
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    MIT
  • F
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    A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.
    8
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    Enables Claude to create, read, update, and search notes in a local Obsidian vault, with automatic YAML frontmatter and folder management.
    7
    1
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    Enables AI assistants to search, create, and organize content in your Capacities.io knowledge base, with limitations on reading object content due to API restrictions.
    9
    13
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    MIT
  • A
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    Integrates with Slite's API to search, retrieve, create, and edit notes via the MCP protocol.
    7
    3
    MIT
  • A
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    MCP server for common Notion page workflows: search pages, inspect content, create structured pages, append rich blocks, and start documents from reusable templates.
    10
    MIT
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    Stores AI memories as Markdown files for visualization in Obsidian's graph view, allowing users to create knowledge graphs with entities, relations, and observations.
    9
    31
    MIT
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    The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.
    3
    7
    MIT