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notebook-library-mcp
Token-efficient document retrieval for substrate AI agents. Drop PDFs, text files, and markdown into notebook folders — they get chunked, embedded, and indexed for semantic search. Queries return only the most relevant passages (~2,500 tokens) instead of loading entire documents (50,000+).
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Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest clotho2/notebook-library-mcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx notebook-library-mcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"notebook-library-mcp": {
"command": "uvx",
"args": [
"notebook-library-mcp"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
notebook-library-mcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt