"Improving React Native Development Experience" matching MCP servers:

LLM-optimized MCP server for Obsidian vaults with surgical edits, hash-based concurrency safety, and no whole-file rewrites.

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

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.

Reading and writing Apple Notes with native Markdown conversion

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.

Provides full CRUD operations for Apple Notes and folders via MCP, enabling automation of notes with HTML content, folder management, and search through native AppleScript integration.

Enables AI assistants to save resolved debugging sessions as concise experience cards into a local JSON knowledge network, and to retrieve relevant past cards when new bugs arise. It also powers a spaced-repetition review interface to reinforce memory of those experiences.

Git-native Markdown content management CLI with a built-in MCP server. Lets AI clients (Claude, Cursor) search, read, write, and govern story/paper/note repositories, auto-generate READMEs, validate configs, and export EPUB or SFT training data.

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

An MCP server for the Notion API, enabling management of pages, databases, files, comments, and users with native markdown support and a full file pipeline.

A Model Context Protocol (MCP) server that provides native access to Quip documents from any MCP-compatible AI client (Claude Desktop, Claude Code, or custom integrations). Search, browse, and read Quip documents as clean markdown.

Enables AI agents to read, create, search, update, delete, and restore Windows Sticky Notes directly through the native UWP SQLite database. Also supports theme color management, desktop window control, trash recovery, and batch export to Markdown or JSON.

A local-only server that enables AI agents to create, read, search, and organize Apple Notes directly on macOS. It supports folder management, note formatting, and checklists using native automation to ensure data remains private and local.

A macOS MCP server that provides AI agents with secure access to Calendar, Reminders, Notes, and Health data via native Apple APIs.

Shared Margin is a Codex-native room for reading books and watching films together one moment at a time. It enables human and GPT-5.6 to linearly experience media, capture anchored observations, and maintain a durable trail.

A comprehensive MCP server for Obsidian with 45 tools across hybrid filesystem-native and API-based architectures, enabling note management, backlinks, tag management, and analytics.

Local MCP server for macOS native apps: Mail, Calendar, Reminders, Notes, Messages, and Contacts. Enables reading and organizing your Mac life through a single stdio process using AppleScript/JXA.

MCP server enabling AI assistants to create and edit Excalidraw diagrams as Obsidian-native .excalidraw.md files, with style presets, batch element creation, arrow binding, and an Obsidian selection bridge for localized edits.

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 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.

snipper-mcp — the MCP server inside SnipperApp 3. SnipperApp 3 is a native macOS code snippet manager. It ships its own MCP server, so AI assistants can search, read, create and organise the snippets in your library.

Enables AI agents to share a persistent, self-improving memory by ingesting, classifying, synthesizing, and retrieving knowledge from sources like Obsidian vaults, code, and transcripts through MCP and REST APIs. Provides token-optimized, tiered retrieval with full-text and semantic search so every agent session builds on accumulated context.

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.

A MCP server for managing sticky notes with CRUD operations, search, tags, conversations, and a React UI.

A minimal Python MCP server that gives Claude access to built-in Apple apps (Mail, Contacts, Calendar, Notes, Reminders) on macOS, leveraging native APIs and local databases for speed with no OAuth setup.

A native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

An MCP-native journaling server that prompts one question per day and captures your responses verbatim, with no AI rewriting or analysis. It integrates with Claude Desktop, Cline, or cron scripts, storing everything as markdown in your vault.

Enables Markdown-native reading and writing of Microsoft OneNote content through the Graph API, with tools for managing notebooks, sections, pages, tables, check boxes, equations, images, search, and authentication.

Enables AI agents to share a persistent, self-improving memory by ingesting sources like Obsidian vaults, code, transcripts, and session captures, then serving them back through search, classification, synthesis, and token-optimized context briefings. It lets multiple agents read and write the same knowledge base, so each session builds on the last without copy-pasting context.

Enables AI clients to search, read, and write native Markdown notes in Yinxiang (Evernote China), as well as batch backup local folders into notes with attachments and inline images.