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Create notebooks, tag notes, and search full text locally in SQLite.
This MCP tool is described as creating and searching notes locally in SQLite, with no required secrets and no declared remote endpoints, so overall risk appears relatively low. However, it does have code-execution capability, and while the source is open for review, its adoption and maintenance signals are weak, so it should be used with least privilege.
The materials explicitly state that no keys or environment variables are required, and there is no indication of API keys, tokens, or external account credentials; based on the available facts, credential exposure and abuse risk appears low.
No remote endpoints are declared, and the description says data is stored locally in SQLite; based on the stated facts, there is no evidence of user data being sent to external services.
The system flags this tool as having executes-code capability, indicating it can trigger local code or process execution; this is a standard high-privilege capability for MCP tools and warrants a constrained runtime, but the available materials do not show additional red flags that would justify a high-risk rating.
Its stated features include creating notebooks/notes, managing tags, and full-text search, with content stored in local SQLite, which implies at least local data read/write access; the access scope appears broadly consistent with the function, but its reachable directories and database file locations should still be constrained.
A positive factor is that there is an open-source repository available for review; however, it comes from a third-party registry, has no declared license, shows 0 stars, and has unknown maintenance status, so trust signals are weak. There are no explicit malicious indicators in the materials, so caution is more appropriate than a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Notebook MCP Server" yet — see the docs or source repo.
Please create a notebook named "Machine Learning" and add 3 tagged study notes: one on supervised learning, one on unsupervised learning, and one on model evaluation.
A notebook plus three well-structured tagged notes.
Search my notes for content containing "regression cross-validation" with the tag "algorithm", using FTS5 syntax.
A list of matching notes with relevant snippets.
Organize this meeting transcript into multiple notes under one notebook and automatically add suitable tags to each note.
Structured notes ready to save to the local database.
A lightweight MCP tool for persistent note capture, search, and management.
Manage notes with CRUD, tags, and search through an MCP server.
Manage NotebookLM notebooks, sources, chats, and generated artifacts through MCP.
Control Google NotebookLM with AI for notebooks, sources, and audio generation.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Manage personal Markdown notes with create, search, read, update, and delete actions.