"Information about CAD (Computer-Aided Design)" matching MCP servers:

Provides seamless integration with Capacities knowledge management system, allowing Claude to list spaces, retrieve space information, search content, save weblinks, and add content to daily notes.

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

An MCP server that lets you talk to your OneNote notebooks, enabling search, reading, creating, and managing pages, sections, and notebooks via natural language. It connects directly to Microsoft Graph from your own computer, so your notes and credentials never leave your machine.

An MCP server that enables Claude to interact with Google NotebookLM via browser automation, allowing management of notebooks, adding sources, and querying information.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

This MCP server lets any compatible AI assistant read, extend and connect the matters in a person's life — plans, trips, people and places — from a repository that belongs to the user, so a new assistant picks up where another left off. It keeps the user's words verbatim, records every change, and stores the repository as a plain file on the user's own computer.

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

A local MCP server that keeps one source of truth about capabilities, accomplishments, and positioning consistent with derived profiles, applications, and résumés, by registering decisions, checking consistency, and assembling materials for media-specific documents.

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.

A Model Context Protocol server that enables AI assistants to search and access information stored in Kibela, supporting note search, retrieval, creation and updating.

Persistent memory server for MCP clients that lets AI assistants remember facts about users across sessions via a single markdown file, with tools to read, save, search, update, delete, and organize memory.

MCP server for Glanceway, the macOS menu bar information app, enabling AI assistants to read sources and items.

The MCP server transforms chats with Claude into journaling sessions, saving conversations locally and allowing the LLM to retrieve previous sessions to create continuity in discussions about daily activities.

Enables building and managing knowledge workspaces with tools for ingesting content from text, clipboard, or URLs and searching organized knowledge bases. Supports multiple configurable workspaces with separate inbox and knowledge directories for structured information management.

Enables users to create and save notes in Flomo directly through AI chat interactions using natural language commands. Seamlessly integrates with AI assistants like Claude and Cursor to capture thoughts and information.

Lets AI clients store, search, and summarize short notes about a codebase during a coding session.

An experimental MCP server that provides weather information tools, including temperature lookup via wttr.io, along with note-taking capabilities for learning MCP server development with GitHub Copilot.

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 Claude to search your team's design and issue comment threads from Figma, Jira, and Notion, answer questions with citations, surface feedback relevant to the code you're editing, and post replies or close threads after your confirmation.