Note-Taking and Knowledge Bases MCP Repositories

Facilitates secure access and interaction with Obsidian vaults for AI assistants, enabling semantic searches, template execution, and file management through a local server bridge while ensuring data privacy.

Manage branching lines of thought with features for navigation, cross-references, insight generation, and priority tracking based on confidence and connections.

Access and manage Bear Notes through a Model Context Protocol (MCP) server. Retrieve, search, and list notes and tags stored in a SQLite database.

Create and manage text notes with URIs, metadata, and the ability to generate summaries of stored notes.

Write notes directly to Flomo by capturing and sending text content through a simple integration, streamlining the note-taking workflow.

Persistently remembers user information across chats using a local knowledge graph, allowing connections between different entities and their relationships. Facilitates the storage and retrieval of observations linked to specific entities for improved contextual interactions.

Send notes to an Inbox API endpoint using a configured user token, supporting notes up to 3000 characters. Integrate seamlessly into MCP-enabled environments to enhance note-taking workflows.

Integrates Notion for interactions with pages, databases, and comments, facilitating the management of Notion content within AI workflows.

Enables explicit reasoning mode for Claude in Cursor, allowing users to view Claude's step-by-step thought processes and final answers. Start messages with 'think' to trigger detailed problem solving and analysis in chat interactions.

Connects securely to a Memos instance, enabling interaction through an AI assistant for searching, creating, updating, and managing notes. Supports advanced search capabilities, structured access to notes, and efficient tag management.

Access and interact with Scrapbox project pages, facilitating content retrieval, page listing, and full-text searching across project content.

Implement interaction with Microsoft OneNote through standardized MCP methods, enabling management of notebooks and sections.

Integrate AI models with Notion to access and manage tasks, deadlines, and project statuses. Supports querying and modifying content within Notion workspaces through a standardized interface.

Fetch posts and content from Reddit, manage subreddits, and customize parameters for enhanced social media interaction.

Manage Google Keep notes by creating, updating, searching, and deleting them through an integrated interface. Supports seamless interaction with Google Keep for productivity enhancement.

Manage and organize notes using a URI system that supports creating new notes and generating summaries of existing notes. Notes can be accessed and listed by their URIs, with metadata available for each entry.

Provides semantic search over an Obsidian vault and exposes recently modified notes as resources. Notes can be accessed using a specific URL scheme and have markdown media type.

Showcase and highlight professional qualifications and achievements through a structured resume format. Allows users to effectively communicate their experiences to potential employers.

Converts Markdown files into styled PDF documents using VS Code's markdown formatting and Python's ReportLab. Offers note storage with custom URI access and provides functionality to summarize all stored notes.

Create, manage, and summarize notes using a Supabase backend. This TypeScript-based MCP server offers resources for text notes, tools for creating new notes, and prompts for generating summaries.

Facilitates the creation of manuals from existing documentation through content analysis, generates metadata, and provides intelligent search capabilities to form a functional knowledge base.

Interact with an Obsidian vault to retrieve, search, and modify notes. Utilize a Local REST API to enhance productivity and organization through effective note management.

Enables semantic search and retrieval of Apple Notes with advanced indexing capabilities. Supports both semantic and full-text searches, integrating seamlessly with Apple Notes on macOS.

Connects Obsidian Vaults stored in iCloud Drive to AI via the Model Context Protocol (MCP), facilitating data retrieval and interaction with notes. Designed for MacOS, it enhances personal knowledge management by leveraging AI capabilities directly within the Obsidian environment.

Connects AI models to Obsidian knowledge bases, enabling direct access to read, create, update, and delete notes, as well as manage folder structures and perform full-text searches.

Utilizes a local knowledge graph to enable persistent memory for AI agents, allowing them to create, update, and retrieve personalized user information across chat sessions. Facilitates tailored interactions by managing entities, relations, and observations.

Integrate with Kibela to search and fetch notes, enabling AI models to access and reference content stored in Kibela securely.

Manages various types of sources such as papers, books, and webpages while integrating them with knowledge graphs. Tracks relationships between sources and entities, supports multiple identifiers, and maintains structured note-taking and status tracking.

Create and organize notes within Flomo using natural language commands through AI chat interactions. Enhance productivity by integrating AI assistance directly into the note-taking process.

Access and manage a local Apple Notes database, enabling search and retrieval of note content directly within Claude Desktop. Allows users to read all notes and perform specific searches.