Projects sharing features with Mcp Notion Server

MCP Server integration for Bear note app

Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.

PyAutoGUI is a Python GUI automation library and desktop automation framework. It provides a set of tools for programmatically controlling the mouse and keyboard to automate user interface interactions across different operating systems. The project functions as a cross-platform input simulator and computer vision screen scanner. It enables the simulation of keystrokes and cursor movements to perform repetitive tasks and utilizes screen analysis to locate specific images or pixel colors on the display. Its capability surface includes mouse and keyboard input simulation, screen image capture,

Material To-Do App

MCP Server for TaskWarrior!

A simple Model Context Protocol (MCP) server that integrates with Notion's API to manage my personal todo list.

A Model Context Protocol (MCP) server that allows AI assistants like Claude to read notes from the Bear note-taking app. This implementation connects directly to the Bear SQLite database in a read-only mode, ensuring your notes remain safe and unmodified.

I feel like the days of traditional diaries are over. Not only are they inconvenient to carry around, but they are also not very secure. Thus, I decided to create a digital diary that is secure and easy to use.

文颜 MCP Server 可以让 AI 自动将 Markdown 文章排版后发布至微信公众号。

creativecreatorormaybenot's playful entry to the Flutter clock challenge (is it weird to say it like that?). This is a clock display that uses exclusively the Flutter Canvas to draw everything you see on screen. That means that there are no assets, no plugins, and not even prebuilt widgets used,…

This project is a lightweight Python scheduling library used for managing recurring jobs and automating the execution of functions within a single process. It serves as an event-based task scheduler that triggers functions at specific intervals or weekdays. The library utilizes human-readable timing syntax to schedule periodic function calls. It supports the organization of timed workflows through job tag filtering and provides mechanisms for scheduler state inspection to track planned execution times. The system handles both periodic and specific job scheduling with timezone support. It inc

🗂️🤖 Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

MCP server for reading and writing Obsidian vault documents via EVC Team Relay

Etar (from Arabic: إِيتَار) is an open source material designed calendar made for everyone!

A Model Context Protocol server to connect to the MIRO Whiteboard Application.

Model Context Protocol server for Slite integration - search and retrieve notes from your Slite workspace

Omni-Notes is a mobile note-taking application and personal knowledge management tool used for creating and organizing text notes, checklists, and sketches. It functions as a multimedia knowledge base that integrates voice input, images, and audio files to maintain a searchable digital archive. The application utilizes a tag-based filtering system to group and search for stored information using metadata and categories. It further extends productivity by providing home and lock screen widgets that expose note snapshots and shortcuts for rapid access. The system supports the creation of struc

MCP server for Google Keep

This local MCP server is deprecated. We support Remote MCP Server now, which can be connected via this url: https://mcp.fibery.io/mcp.

ArchiveBox is a self-hosted archiving tool designed for personal digital preservation and research data management. It functions as an automated web preservation engine that monitors URL inputs from bookmarks, browser history, or manual entries to capture and store permanent, offline copies of web content. By utilizing headless browser automation, the system renders dynamic web pages to ensure that captured snapshots, PDFs, and media assets remain accurate and accessible even if the original source disappears. The project distinguishes itself through a modular extractor pipeline and a task-qu