"Creating MCP Servers Using Open Data APIs" matching MCP servers:

MCP server for privacy-gated local Apple data access including Mail, Messages, Notes, Calendar, Contacts, Photos, Reminders, Voice Memos, and iCloud Drive.

Enables AI assistants to manage notebooks, sources, notes, search content, and interact with AI models through Open Notebook.

Gives AI assistants persistent, shared memory using the Zettelkasten method, so they retain corrections, preferences, and decisions across sessions and across tools via local, hybrid search.

A small Model Context Protocol (MCP) server that gives an AI a personal notes/todo store. Built for learning.

An MCP server that provides AI assistants with full access to Notion workspaces, enabling search, read, create, and update pages, databases, and blocks.

Enables notes management, weather and news search, document ingestion and RAG-based semantic search using GroundX, with OpenAI GPT integration for summarization and completions.

Enables AI assistants to interact with Apple Notes, Reminders, and Calendar on macOS through MCP, all locally without API keys.

Provides comprehensive CRUD access to Anki flashcard data via MCP, enabling Claude to analyze decks, manage cards, create and update flashcards, organize tags, and perform advanced spaced repetition analysis through 18 data management tools.

Enables AI assistants to interact with Joplin notes through full-text search, reading, creating, updating, and deleting notes, as well as importing markdown files directly into Joplin notebooks.

Enables interaction with eLabFTW electronic lab notebooks through the eLabFTW REST API v2, covering experiments, items, templates, steps, links, uploads and metadata across 41 tools. Supports both single-user stdio and multi-user hosted deployments with scoped, profile-based write permissions and AI-assisted review of entries.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Enables users to organise messy symptom notes into a clearer, portable appointment-preparation record through privacy-conscious tools for ChatGPT and Codex. It processes submitted text in memory without intentionally persisting it, supporting symptom diary capture and appointment-prep workflows.

Enables AI agents to read and edit Google Keep notes, lists, labels, collaborators, and media across multiple Google accounts using 24 tools.

A bridge between LLMs and OpenWebUI workspaces that enables managing projects, notes, and knowledge bases. It supports safe project configuration updates through a propose-evaluate-apply workflow and direct file uploads to knowledge bases.

Lets AI clients store, retrieve, update, and forget long-term facts in a local SQLite database with deterministic lexical search, sharing the same memory across multiple clients without relying on model APIs or embedding services.

Model Context Protocol (MCP) server for Joplin note-taking app, enabling AI to read, search, and modify notes via sandboxed scripts.

Enables reading, writing, and manipulation of Bike outlines on macOS through natural language, using AppleScript for local document management.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Provides read-only access to an Obsidian vault, enabling file listing, content reading, and text search across notes via MCP.

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