"A map or mapping service" matching MCP servers:

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

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

Enables users to log in to their personal vocabulary notebook, view or remove saved words, list and delete custom word books, and create new word books from selected exam vocabulary.

MCP server that provides a navigable map of an Obsidian vault for coding agents, with tools to outline notes, fetch sections, query frontmatter, and grep content, reducing token usage compared to reading whole notes.

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.

Exposes a Heuresis workspace to MCP clients, enabling concept mapping, ideation, and workspace management through natural language.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

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.

A simple note-taking MCP server that allows storing and summarizing notes with custom URI schemes and provides functionality to add notes and generate summaries with different detail levels.

A tiny MCP server enabling note management through five tools: add, get, update, delete, and list notes. Stores notes in a file configured via MCP_NOTES_FILE or --notes-file, with atomic saves and a write lock.

Enables AI clients to read Markdown notes from a single explicitly granted local folder, read-only, with strict containment against access outside that folder.

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.

MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.

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

Enables AI assistants to read, search, and traverse your entire reMarkable library, including handwritten notes via OCR.

An MCP server for the Zotero Web API v3 that lets you search, read, and write items, collections, tags, and notes in a Zotero library, supporting literature-review workflows.

Provides an in-memory notebook interface with tools to create, retrieve, list, update, and delete notes, designed to test agent behavior through realistic MCP tool interactions.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

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

Enables interaction with Cubox through its CLI, allowing agents to manage bookmarks, highlights, and annotations via a single pass-through tool.

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.

Create and read burn-after-read encrypted notes. AES-256-GCM E2E encryption with self-destructing URLs for secure credential handoff between users and AI agents.

MCP server for a self-hostable personal planner — exposes memo, todo, calendar event, and cross-resource full-text search tools so Claude, Cursor, or any MCP client can manage your schedule and notes in natural language.

MCP server that exposes OpenWhispr desktop app data—notes, folders, meeting transcripts, dictation history, and custom dictionary—to AI agents, with read and limited write operations.

A local MCP server that lets AI agents read, create, and update end-to-end encrypted static.md notes, merging edits with people typing in the same note. Keys and plaintext stay on the user's computer, so the service only ever receives ciphertext, note ids, and titles.

Enables AI assistants to interact with local Obsidian vaults through direct filesystem access for reading, creating, and managing notes. It features high-performance SQLite indexing for fast searches, regex support, and tools for organizing tags and links without requiring additional plugins.

Enables coding agents to persist notes, decisions, requirements, and learnings per project in SQLite and retrieve them across sessions via search and status tools.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.