"Creating an Automation System Using n8n" matching MCP servers:

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.

A local MCP server that transforms an Obsidian vault into a structured learning interface through tools for concept extraction and gap analysis. It enables AI agents to generate study plans and align note-taking with implementation projects for a more cohesive learning workflow.

Empowers AI assistants with real-world capabilities including note management, Gmail integration, Google Calendar and Tasks management, and Git repository operations through the Model Context Protocol.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Enables creating meeting minutes from unstructured meeting memos with validation, grounding checks, and user-approved saving.

Enables an AI assistant to read and collaboratively edit Rustpad pads via the Model Context Protocol, using operational transformation for clean concurrent edits with human collaborators.

Connects to Obsidian vaults via the Local REST API plugin, enabling AI-assisted Zettelkasten workflows including creating atomic notes, searching content, managing links and tags, and performing precise content editing operations.

A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.

Enables MCP hosts to access and manage a Lipi vault, including creating, reading, updating, renaming, deleting, and searching notes with romanized Devanagari search.

MCP server for MindNode that lets AI agents read mind maps as Markdown outlines and view rendered previews. It also supports creating new mind maps from outlines and opening maps in the app.

An MCP server for Capacities API 2.0 that enables AI agents to discover, create, read, update, and delete objects, blocks, and daily notes with structured JSON or Markdown, using personal API tokens.

MCP server that connects AI tools to Microsoft OneNote for Business via the Microsoft Graph API, enabling listing, creating, and updating notebooks, sections, and pages.

An MCP server that lets you talk to your OneNote notebooks, enabling search, reading, creating, and managing pages, sections, and notebooks via natural language. It connects directly to Microsoft Graph from your own computer, so your notes and credentials never leave your machine.

Integrates with the Obsidian Local REST API to enable reading, creating, editing, and searching notes within an Obsidian vault. It supports advanced operations like Dataview queries and partial file updates through both stdio and HTTP transport modes.

Enables AI assistants to interact with a local folder of Markdown notes, supporting listing, reading, searching, creating, and appending to notes with strict security boundaries.

A Model Context Protocol server that enables AI agents to interact with local Logseq knowledge graphs, supporting operations like creating/editing pages and blocks, searching content, and managing journal entries.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables reading and updating relationship data (likes, dislikes, important info, feelings, closeness, notes) for characters in a multi-character system, supporting both private and public relations.

Enables Claude Code read/write access to an Obsidian vault, including creating, editing, searching, and browsing notes.

Enables interaction with your Logseq personal knowledge management system via MCP, allowing retrieval of tagged notes and todo lists through Logseq's HTTP API.