Enables personal workflow management by turning Notion into a task and knowledge system via slash commands and 19 integrated MCP tools. It supports project-based task tracking, subtask management, and automated note summarization directly through the Claude interface.
Automates three core workflows for Sangfor Engineer: project all-in-one (Excel to guide to validation to report), equipment health check, and Obsidian wiki integration.
This TypeScript-based MCP server enables users to manage a simple notes system with capabilities to create and summarize notes through structured prompts and resources.
A small, authenticated remote MCP server that lets an AI app safely read and write one GitHub repository, built for a second-brain / Obsidian vault stored on GitHub.
Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.
Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.
Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.
A demo MCP server that enables users to interact with various tools through natural language, including note management, weather queries, calculations, file operations, and shell commands. Uses Ollama for intent detection and structured command parsing from free text input.
Enables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.
Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.
A TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.
Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.
Provides coding agents with a shared, Markdown-based engineering knowledge base to search, capture, create, and update internal conventions, API details, infrastructure configs, and development setup via lightweight MCP tools.
A stateless MCP server providing persistent, structured project memory for AI coding agents via a markdown folder. It allows agents to record decisions, plans, and notes, which are stored and synced with git.