"A server for finding prompts" 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.

Reads saved Keep My Prompts library and fetches prompts by name from any MCP client, read-only.

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 bookmark management MCP server that enables saving, searching, and managing bookmarks with tags and read/unread status, providing tools, resources, and prompts for integration.

A personal knowledge base MCP server that allows AI assistants to manage notes, tasks, and ideas through tools, resources, and prompts.

Enables AI assistants to read, write, and manage Microsoft OneNote notebooks, sections, and pages through OAuth-authenticated MCP tools, resources, and prompts.

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.

Enables AI agents to build and interact with mind maps on mindmap.io. Agents can create, read, update, and delete maps and nodes, run prompts on nodes, and auto-expand topics into follow-up questions.

Enables AI assistants to read and write Memos notes through a Personal Access Token, with task-oriented search, precise editing, todo and tag management, attachment handling, exports, prompts, and resources. It supports both local stdio and multi-user Streamable HTTP transports, with safety switches such as read-only mode and restricted file access.

Enables everyday utilities like calculation, text analysis, encoding, hashing, UUID generation, datetime lookup, and note management through MCP tools, resources, and prompts.

Provides read-only access to a local Markdown notes directory for AI assistants, enabling full-text search, note reading, recent-note listing, statistics, indexed resources, and weekly-review prompts while enforcing path safety and output budgets.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and 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.

Enables AI assistants to interact with Coda docs, pages, tables, rows, formulas, and more via the Coda API, offering 54 tools, 12 resources, and 5 prompts for comprehensive document management.

A minimal MCP server example demonstrating Tools, Resources, and Prompts. It enables calculations, time queries, note management, and code review prompts via stdio transport.

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