"Information about Xcode development environment" matching MCP servers:

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.

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.

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.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

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.

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

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

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 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.

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.

Runs locally over stdio and forwards tool calls to a Planeshift instance's Rails API, letting Claude list projects, read timelines, and record notes, meetings, todo actions, and important links. It supports browser-based login or token/URL environment variables, with a separate development-mode credential file for self-hosted or local instances.

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 MCP clients to read and manage entries, tags, annotations, search, configuration, and account information on a self-hosted read-later service, with write operations requiring explicit confirmation.

Enables AI assistants to scan-code log into Yuketang and read-only browse courses, slides, classroom replays with page-flip timelines, AI mind maps, notes, and assignment progress. Sessions can be supplied via QR login or environment variables, with separate handling for the four Yuketang regional deployments.

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.

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 Claude to add and search personal memories through the Nowledge Mem service. Allows users to store and retrieve contextual information across conversations.

A Model Context Protocol server that allows Claude to create flashcards for Rember, helping users study and remember information through spaced repetition reviews.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Exposes every card type and feed action — reminders, learnings, work items, bookmarks, snooze, pin, favorite — to MCP-compatible AI assistants, so they can read and write a self-hosted personal feed through chat. Turns requests like "remind me Wednesday at 10" into stored cards and answers questions about what's on today.

Secure MCP server for querying Google NotebookLM notebooks. Enables AI assistants to list notebooks, read sources, and ask the NotebookLM AI questions about your sources.

Enables AI assistants to search recorded meetings, transcripts, and AI notes, retrieve recording details and share links, and manage recordings and team workspace information through a hosted OAuth-secured endpoint.

Enables AI assistants to query a user's recorded work sessions, notes, and browsing history, allowing them to resume tasks or answer questions about past work without re-explanation.