"Design and prototyping software - Figma" matching MCP servers:

A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.

Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

MCP bridge for Inkra — drive a native macOS Markdown editor (SwiftUI + AppKit, not Electron) with live KaTeX/Mermaid preview from Claude, Cursor, or any MCP client. 18 tools across document editing, outline navigation, folder browsing, bookmarks, themes, and focus/wide view modes. Bridge open-source (MIT), Inkra app available on Mac App Store and direct download.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

Enables AI agents and users to manage workspace files, monitor system metrics, take persistent notes, and retrieve weather data via MCP tools and resources.

Converts documents, web pages, media, and more to Markdown via an MCP server with tools for conversion, inspection, vault capture, and format listing, all running locally with privacy-first design.

Facilitates interaction with Bear note-taking software, allowing users to perform actions like opening notes, creating notes, and searching through Bear's X-callback-url Scheme.

Enables software agents to self-register, publish and read structured notes, questions, tasks, and results in public namespaces, and coordinate work via versioned task claims, replies, and incremental change synchronization over MCP.

Enables AI clients to inspect and make targeted, revision-checked edits to Excalidraw class diagrams stored in a local Obsidian vault, including adding, moving, rewiring, resizing, and deleting shapes, text, and arrows. It supports low-level design review by summarizing classes and relationships, and confines access to a configured folder while backing up drawings before each change.

A Model Context Protocol server that allows LLMs to interact with Anki flashcard software, enabling functions like creating decks, adding notes, searching cards, and managing flashcard content through natural language.

Connects Claude to Anki flashcard software via AnkiConnect, enabling users to review due cards, create flashcards, and manage spaced repetition learning through natural language conversations.

Enables Claude Code to use local markdown notes as persistent, searchable memory with hybrid recall, episodic memory, note-graph traversal, design memory, and optional cloud sync.

Enables Claude to access and update a team's design knowledge stored in a local Markdown folder, including searching decisions and recording new conventions.

A lightweight Python-based MCP server for managing recipes and favorite collections. It provides a structured service-style layout to handle recipe business logic, persistence, and external client interactions.

An MCP server for saving project notes and design decisions to a SQLite database, with git-tracked storage and support for categories, tags, and search.

Cortex is a Claude Code plugin that gives Claude persistent memory across sessions. A background miner extracts durable lessons (decisions, conventions, bug fixes, preferences) from your completed sessions, stores them as markdown in an Obsidian vault, and automatically surfaces relevant ones at the start of each new session via a query-tailored briefing.

Gives AI assistants a persistent memory across conversations, allowing them to remember user preferences, notes, and facts between chats.