"A tool similar to Cursor with agent-based functionalities" matching MCP servers:

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

MCP server that converts PDF, video, web, and audio inputs into structured Markdown notes with support for checkpointing, batch processing, and Obsidian integration.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

Turns your PDFs into locally stored flashcards and quizzes, grades your answers, and schedules spaced-repetition reviews entirely on your machine.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Enables a language model to access D&D 5e rules, reference data, and campaign state through MCP, with tools for dice rolls, encounters, lookups, and persistent notes.

Enables forwarding Douyin or Bilibili video shares to Kimi for AI analysis and automatically writing the resulting Chinese notes into an Obsidian vault.

Enables writing text content to Markdown files with folder organization and overwrite control, and listing recent Markdown files.

Automatically maintains a personal journal on behalf of an AI agent, storing text, photos, and voice notes as plain markdown files locally. Enables agents to add entries, recall memories, and reflect on patterns without user intervention.

Enables AI agents to work with a local Anki collection through MCP while Anki stays open in the background, listing and creating decks, listing note types, searching notes, and previewing or creating Basic and Cloze notes in batches. Deletion of cards or decks requires explicit confirmation in Anki and completes only after a recovery backup finishes.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

A local MCP server that provides AI agents with persistent sticky-note memory, storing Markdown notes on disk and offering tools for creating, reading, updating, deleting, searching, and listing notes across sessions.

A free, read-only remote MCP server with templates for a file-based business operating system.

Enables agents to read and write Markdown documents, HTML pages, data files, PDFs, screenshots, and videos through a standard remote MCP server with OAuth, per-agent revocable project permissions, version history, and stable artifact links.

Enables MCP-compatible agents to search and retrieve linked context from a local Obsidian-compatible Markdown vault, with read-only tools by default and optional tools to capture, update, link, organize, and index notes.

Enables people and their AI agents to share a kanban board whose tasks, hand-offs, reviews, notes and alerts live as markdown files in a private GitHub repo, with per-person access control. Works from Claude, ChatGPT, Claude Code, Codex or any MCP-speaking client, and can draw the board inside chats.

A self-hosted MCP server that collects links and articles from web and mobile, allowing AI agents like Claude or ChatGPT to read and analyze them as a reading list.

Enables any MCP-capable agent to maintain a shared .apm Markdown source of truth for project goals, tasks, decisions, handoffs, and health insights. It lets multiple agents and CLI/dashboard tools coordinate using the same file-based read/write logic without a database.

Local MCP servers for the Agent-Obsidian workflow, providing vault file I/O, todo management, and arXiv paper fetching with zero-dependency single-file Node.js scripts.

Enables AI agents to search a local Obsidian knowledge base, retrieve individual notes, and access generated insights through read-only MCP tools.

Enables AI agents to keep and query long-term memory of past conversations, with hybrid keyword-plus-semantic search, session, day, week, month and year summaries, saved notes, and a running set of current facts about the user. Exposes this over MCP streamable HTTP through five tools so any client can retrieve context that would otherwise be lost between sessions.

Lets coding agents like Codex, Cursor, and Claude Code share and resume each other's chats, and attach to a common task with saved notes that can be searched later. This keeps task state and decisions in sync no matter which agent you switch to.

A machine-local, agent-writable knowledge base MCP server that lets coding agents autonomously record and retrieve hard-won operational facts, incidents, and corrections as markdown pages in a git repo, with provenance, talk pages, and search.

Enables any MCP-capable coding agent to turn past session transcripts into durable, linked memory pages — verifying, correcting and reorganizing existing notes with transcript-quoted evidence — using the host's own model, with everything stored locally in the project's .dream folder. Users can run a "dream" to capture where work stands, roll back runs, and reload a short index at the start of the next session so context lost by compaction is not lost for good.

Enables creating structured Obsidian notes from text and transcripts, searching notes, generating meeting-summary prompts, and viewing note statistics, with guardrails against prompt injection and fidelity checks.

MCP server for the driaforall/mem-agent model that enables interaction with an obsidian-like memory system through apps like Claude Desktop or LM Studio.

Enables AI agents to read and write a local-first Markdown/Obsidian notebook via a single capture call that routes text into the right notebook, board, or daily journal entry and returns related notes, alongside search, note and card management, and numeric metric series. Access is governed by per-agent tokens with read/write/admin scopes, optional folder restrictions, and an audit log of every action.

Enables AI agents to use a Markdown notes folder as a knowledge base, with tools to list, read, search by keyword or meaning, and safely write notes guarded by content hashes.

Enables AI assistants to search PatchXNote records, inspect AI-generated results, create Markdown drafts, and send user-approved messages to webhooks while keeping server data read-only.

Calendar and task management with kernel-level scraping for robust parsing, and integrates with DocMost wiki as source of truth.

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.

This MCP server provides tools to search arXiv, score papers for relevance and citation impact, and find foundational references, enabling research assistants to compile reading lists.

Enables MCP clients to search and read saved Karakeep pages and notes, save new bookmarks or notes, and organize them with tags and lists over stdio or authenticated remote HTTP.

Enables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.

An MCP server that connects AI assistants to Notion, enabling automated research, GitHub tracking, and content pipelines with human-in-the-loop approval via a Notion task queue.

Enables users to manage a personal to-do list backed by SQLite, adding single or multiple tasks, listing incomplete tasks, renaming or updating task status, and marking tasks complete. All state persists in a local database created automatically on first run.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables AI agents to search and manage a local Markdown memory vault over stdio, including hybrid search, note retrieval and addition, session handoff claiming, and status checks without holding a model in memory.