"Querying a MySQL Database" matching MCP servers:

Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.

Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.

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.

A personal notes MCP server that allows AI assistants to create, search, edit, and manage notes stored in a local SQLite database.

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.

Enables AI assistants to read Tic lists, tasks, and task images through read-only database queries.

Exposes Google NotebookLM notebooks as tools for AI assistants, enabling listing, finding, and querying notebooks with grounded answers.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

Enables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.

Enables Google Drive, Sheets, and Docs operations; ATS job-board reads and liveness checks; local notes and HTTP connectors through MCP.

Local MCP server for querying and maintaining a Markdown vault. Provides full-text search, backlinks, note retrieval, and optional confined write tools, without sending the whole vault to the client context.

Enables Claude and other MCP clients to read and write a user's iOS to-do alarms stored in their iCloud private database, with tools for listing, creating, updating, completing, snoozing, and deleting tasks and managing repeat rules. It can run through a hosted OAuth relay or locally over stdio, and writes sync to the iPhone app via CloudKit notifications.

Provides AI coding agents with a local, Markdown-first shared memory, enabling them to record decisions, failures, progress, and handoffs and retrieve them across sessions via MCP tools.

A self-hosted MCP server that gives AI agents shared, long-term memory over a git-backed folder of markdown, enabling persistent knowledge search, read, and write without a database.

A local-first, privacy-first MCP server that passively indexes personal digital activity (screenshots, clipboard, notes, downloads, links) into a local database, enabling LLMs like Claude to access your context without cloud storage.

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.

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Provides a shared, persistent memory layer for AI assistants, letting them read and write to a local Obsidian vault through MCP with validation, secret rejection, and deduplication.

MCP server that exposes an Obsidian-style markdown vault as a shared memory for AI agents, with tools for searching, reading, writing, and querying notes and wiki-links.

Enables querying, searching, and managing documents in an Outline instance via the Model Context Protocol.