MCP Notebook LM

← Back to Directory

Research-Grade Notebook Environment

Supercharged collaborative notebooks with MCP integration for advanced research, visualization, and production-ready implementation.

Multi-LLM Integration Context-Aware Research Publishing Visualization Production Pipeline
Notebook LM Interface

Multi-Model Research

Access multiple LLM providers simultaneously with shared MCP context. Compare results from GPT-4, Claude, Gemini and others in a single environment.

Context Visualization

Visualize complex ideas and relationships with integrated tools. Generate diagrams, charts, and network graphs based on your research.

Idea to Production

Seamlessly transition from research to implementation with one-click deployment pipeline for turning concepts into working prototypes.

Interactive Notebook

# Research Cell with Multi-LLM Query 
import mcp
from mcp.notebook import multicell, visualize

# Define research context
context = mcp.Context(
    task="research-paper",
    intent="explore-novel-architectures", 
    user="ai-researcher",
    domain="machine-learning"
)

# Query multiple models with the same context
results = multicell.query(
    "What are the latest approaches to combining transformers with MoE?",
    models=["gpt-4o", "claude-3-opus", "gemini-pro"],
    context=context
)

# Visualize the differences in responses
visualization = visualize.compare_responses(results)
visualization.render()
# Visualization Cell with Result Analysis

Interactive visualization would appear here
(Network graph of research concepts and relationships)

Research Publishing

Transform your notebook into publication-ready papers and share with the research community.

Export Formats

  • Publication-ready PDF with LaTeX formatting
  • Jupyter/Colab compatible notebooks
  • Markdown with embedded visualizations
  • GitHub repository with implementation code

Collaboration Features

  • Multi-author contributions with MCP context
  • Real-time collaborative editing
  • Version history and change tracking
  • One-click submission to arXiv and journals

Ready to Transform Your Research Workflow?

Get started with MCP Notebook LM and bring your ideas from concept to publication with unprecedented speed and clarity.