"User interface design or related topics" matching MCP servers:

A secure MCP server that connects ChatGPT/Codex to a local Obsidian Vault, enabling controlled knowledge retrieval, note maintenance, and daily ingest while enforcing path policies, concurrency checks, and audit.

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

Enables creating meeting minutes from unstructured meeting memos with validation, grounding checks, and user-approved saving.

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Scans markdown vaults to identify concepts mentioned but not defined, ranks gaps by priority, and generates research questions or random long-tail topics to fill knowledge gaps.

Enables simple memo management with user registration, login, and session-based per-user memo operations (add, list, delete) via MCP.

Provides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.

Unofficial MCP server for Memobot, enabling access to user profile, recordings, transcripts, summaries, and account usage through reverse-engineered API endpoints.

Enables AI agents to maintain a persistent, queryable memory stored as user-owned Markdown files, with dual-channel retrieval (FTS5 and optional semantic search) and an audited write pipeline.

A read-only MCP server for accessing Quillink notes, folders, and tags, enabling AI tools like Claude to search, retrieve, and list notes and related metadata. Requires a Pro Quillink plan and supports OAuth or personal access token authentication.

Enables AI-powered journaling in Obsidian with dynamic reflection prompts generated from recent entries and automatic backlinks between related diary entries. Supports adaptive templates that learn from writing patterns and smart content similarity linking.

Stores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.

Enables reasoning over local notes using a hyperdimensional codebook, supporting queries, related notes, walks, and analogies without an LLM.

Enables AI assistants to interact with mem.ai memory through a standardized interface, providing complete API coverage with tools for notes, collections, and memory operations.

An MCP server that enables Claude to learn from user corrections by recording them as persistent rules in CLAUDE.md files. It manages project-specific or global guidelines to ensure the assistant avoids repeating the same mistakes in future sessions.

Connects Memlane, your personal library of saved links and notes, to AI assistants via MCP. Enables semantic search, browsing, saving URLs, and managing notes and topics.

A Python package that enables LLM models to interact with Memos server through the Model Context Protocol interface, allowing search, creation, retrieval, and management of memos.

A Model Context Protocol server that enables AI assistants to read, write, and manipulate notes in your Obsidian vault through a standardized interface.

Provides programmatic search functionality for Obsidian vaults through a REST API interface, allowing external applications to search through notes and retrieve absolute paths to matching documents.