"Information about the MERN stack (MongoDB, Express, React, Node.js)" matching MCP servers:

Enables MCP-compatible assistants to connect to a user's workspace, read across boards, notes, checklists, habits, money, meals, chores, and chat, and make scoped additions, changes, or removals with attribution.

Model-agnostic, agent-ready Obsidian MCP server with RBAC, SLSA provenance, and native search. 163 tools across 31 domains, multi-vault, pluggable embeddings.

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

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

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

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

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.

Provides a shared knowledge base MCP server for coding agents to read and leave one-sentence lessons, tagged by technology stack, to avoid repeated mistakes across sessions.

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.

Provides AI agents with a persistent, live-synchronized memory bank for a builder's identity, projects, tech stack, snippets, vision, and bio materials, allowing them to read and update this context across sessions. Supports cloud-backed Neon PostgreSQL storage, encrypted secrets, and optional local-only operation.

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.

A MongoDB Atlas-based Notion-style knowledge base management MCP server that supports user workspaces, project management, page CRUD with tree structure, and text search.

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.

Node.js server implementing Model Context Protocol that enables interaction with TaskWarrior through natural language to view, filter, add, and complete tasks.