Skip to main content
Glama
83,489 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Headroom open-notebook resources" matching MCP servers:

GET /v1/servers — MCP directory API reference
  • F
    license
    A
    quality
    B
    maintenance
    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.
    5
    1
    -
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that turns your Joplin notebook into a tool an LLM can actually use — read, search, write, and organize notes, and pull OCR'd text straight out of your screenshots.
    13
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to read, write, and manage Microsoft OneNote notebooks, sections, and pages through OAuth-authenticated MCP tools, resources, and prompts.
    16
    25
    5
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A local, open-source MCP server that provides deterministic organizational tools for structured decisions, guided reflection, action planning, and transparent digital report outlines without requiring an API key.
    6
    48
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables reading and searching handwritten notes from GoodNotes on macOS, providing OCR text, search, and notebook management tools for AI assistants.
    6
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables everyday utilities like calculation, text analysis, encoding, hashing, UUID generation, datetime lookup, and note management through MCP tools, resources, and prompts.
    11
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    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.
    6
    -
  • A
    license
    A
    quality
    A
    maintenance
    A shared working-state layer for AI coding tools that provides a persistent notebook for decisions, tasks, and handoffs, enabling seamless context sharing between Claude, Cursor, and other MCP clients.
    13
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    A multi-account MCP server for NotebookLM that maintains sticky account and notebook per session. It uses the internal RPC to avoid logout issues and adds tools for account switching, notebook selection, and health checks.
    38
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    A minimal MCP server example demonstrating Tools, Resources, and Prompts. It enables calculations, time queries, note management, and code review prompts via stdio transport.
    3
    6
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables interaction with Google NotebookLM through natural language to create and manage notebooks, add sources from URLs/YouTube/Google Drive, perform AI-powered research and analysis, generate audio podcasts, videos, infographics, and slide decks from notebook content.
    32
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for Yinxiang (Evernote China) that enables notebook listing, note search, creation, and retrieval with automatic Markdown to ENML conversion.
    4
    13
    6
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A minimal MCP server demonstrating tools, resources, and prompts for managing notes, with a simple notes app that supports adding, listing, deleting notes and summarizing them.
    3
    1
    -
  • F
    license
    A
    quality
    B
    maintenance
    Enables listing, reading, and searching local Markdown notes through MCP tools and exposing them as context resources, with protection against path traversal attacks.
    3
    -
  • F
    license
    A
    quality
    C
    maintenance
    A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.
    3
    -