Scholarplot Ai Scientific Figure Generator

ScholarPlot - AI Scientific Figure Generator

🎯 Product Introduction

ScholarPlot is an AI-powered academic figure generation tool designed specifically for researchers. Whether you need data visualization charts, neural network architecture diagrams, experimental flowcharts, or complex mechanism illustrations for your papers, ScholarPlot can generate publication-ready figures that meet top-tier SCI journal standards in just seconds.

🔬 Why Choose ScholarPlot?

Pain Point	ScholarPlot Solution
Python/R plotting is too tedious	Natural language descriptions - AI auto-generates code and figures
Figures don't meet journal standards	Built-in Nature/Science/IEEE journal style templates
Architecture & flowcharts are hard to draw	Supports mechanism diagrams, architecture diagrams, flowcharts and more
Repeated revisions waste time	Real-time editing - one-click style and data adjustments
Figure resolution is too low	Outputs 300dpi high-resolution images, supports SVG vector format

🎨 Supported Figure Types

• 📈 Data Charts: Line charts, bar charts, scatter plots, box plots, heatmaps, violin plots, radar charts...
• 🧬 Scientific Mechanism Diagrams: Molecular pathway diagrams, signaling mechanism diagrams, reaction diagrams...
• 🏗️ Architecture Diagrams: Neural network architectures, system frameworks, model structures...
• 📋 Flowcharts: Experimental workflows, algorithm flowcharts, methodology diagrams...
• 📊 Comparative Analysis: Multi-group comparisons, Venn diagrams, Sankey diagrams...

🌐 Official Website: https://figure.thirdme.com

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🔌 MCP Integration

ScholarPlot provides an MCP (Model Context Protocol) interface, allowing you to directly call ScholarPlot to generate figures within AI tools like Claude Desktop, Cursor, Dify, n8n, without leaving your work environment.

🌐 MCP Documentation: https://figure.thirdme.com/mcp

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🚀 Quick Start

Step 1: Get Your API Key

1. Visit the MCP API Page
2. Enter your email address
3. Click the "Generate API Key" button
4. Copy the generated API Key (Keep it secure - it's linked to your subscription and usage quota)

⚠️ Important: Keep your API Key secure. Generating a new key will replace your existing key. If you regenerate, please update your MCP configuration.

Step 2: Configure Claude Desktop

Add the following configuration to your Claude Desktop config file mcp.json:

Config File Locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "scholarplot-sci-figure": {
      "url": "https://figure.thirdme.com/api/mcp-sse?key=YOUR_API_KEY"
    }
  }
}

Replace YOUR_API_KEY with the actual API Key obtained in Step 1.

Step 3: Use in Claude

After configuration, restart Claude Desktop, and you can directly ask Claude to generate scientific figures:

Example Conversations:

Please generate a line chart showing the Loss curves during deep learning model training, including Training Loss and Validation Loss curves, with Epoch (1-100) on the X-axis and Loss values on the Y-axis.

Please draw a neural network architecture diagram with an input layer, 3 hidden layers (with 128, 64, and 32 neurons respectively), and an output layer.

Claude will automatically call the MCP API to process the request and return a professional academic figure that meets SCI journal standards.

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✨ Core Features

🤖 AI-Powered Figure Generation

Feature	Description
Smart Parsing	AI automatically understands your figure requirements and extracts key information
SCI Standards	Generated figures strictly comply with top-tier SCI journal publication standards
Multi-Type Support	Supports data charts, mechanism diagrams, flowcharts, schematics, structural diagrams, and more
High-Quality Output	Vector-level clarity, pure white background, professional color schemes

📊 Supported Figure Types

• Data Visualization: Line charts, bar charts, scatter plots, box plots, heatmaps, radar charts, etc.
• Scientific Mechanism Diagrams: Molecular mechanism diagrams, signaling pathway diagrams, reaction flowcharts
• Architecture Diagrams: Neural network architectures, system frameworks, model structures
• Flowcharts: Experimental flowcharts, algorithm flowcharts, methodology flowcharts
• Comparative Analysis: Comparison bar charts, Venn diagrams, Sankey diagrams

🔧 Fast Integration

Feature	Description
Simple Configuration	Just add config file and API Key
Wide Compatibility	Supports all MCP-compatible tools
Plug and Play	Ready to use immediately after configuration, no additional development required

🔒 Secure & Reliable

Feature	Description
UUID Authentication	UUID-based authentication mechanism
Rate Limiting	Prevents abuse and ensures service stability
Usage Tracking	Real-time tracking of API usage and quotas

📊 Shared Subscription

Feature	Description
Unified Quota	API and web version share the same subscription quota
Flexible Usage	Use the same subscription service across multiple platforms and tools

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📖 API Reference

Endpoint

GET/POST https://figure.thirdme.com/api/mcp-sse?key=YOUR_API_KEY

Available Tools

generate_sci_figure

Generate scientific academic figures that meet SCI journal standards based on description.

Input Parameters:

Parameter	Type	Required	Description
description	string	✅	Figure description, including data, type, style requirements, etc.
figureType	string	❌	Figure type: line_chart, bar_chart, scatter, heatmap, flowchart, architecture, mechanism, etc.
style	string	❌	Style preference: nature, science, ieee, default
dataValues	object	❌	Precise data values (for data charts)

Output:

Returns a JSON object containing:

{
  "figureUrl": "https://figure.thirdme.com/figures/xxx.png",
  "figureCode": "// Editable figure code",
  "metadata": {
    "type": "line_chart",
    "style": "nature",
    "resolution": "300dpi",
    "format": "PNG/SVG"
  }
}

edit_figure

Edit generated figures, adjusting style, data, or layout.

Input Parameters:

Parameter	Type	Required	Description
figureId	string	✅	ID of the figure to edit
editInstructions	string	✅	Edit instructions, e.g., "Change the bar chart color to blue"

Output:

Returns updated figure URL and code.

Error Codes

Error Code	Description
-32001	User not found
-32003	Subscription required or usage limit reached
-32004	Figure generation failed
-32005	Unsupported figure type
-32006	Data format error

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🛠️ Supported Platforms

Platform	Status
Claude Desktop	✅ Supported
OpenAI (MCP Compatible)	✅ Supported
Cursor	✅ Supported
Dify	✅ Supported
n8n	✅ Supported
Other MCP-Compatible Tools	✅ Supported

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💡 Use Cases

Case 1: Generate Paper Loss Curves

In Claude Desktop, you can make requests like:

Please generate a training Loss curve chart:
- X-axis: Epoch (1-50)
- Y-axis: Loss
- Include Training Loss (decreasing from 2.5 to 0.1) and Validation Loss (decreasing from 2.8 to 0.15)
- Style: Nature journal standard

Case 2: Draw Neural Network Architecture

Please draw a Transformer architecture diagram including:
- Input embedding layer
- 6 Encoder layers (with Multi-Head Attention and Feed Forward)
- 6 Decoder layers
- Output layer
- Use NeurIPS style, flat design, no gradients

Case 3: Generate Experimental Flowchart

Please generate a drug screening experimental flowchart:
1. Compound library screening (10,000 compounds)
2. High-throughput primary screening (Hit rate: 2%)
3. Secondary validation (200 compounds)
4. Activity assay (50 compounds)
5. Toxicity evaluation (20 compounds)
6. Lead compounds (5 compounds)

Connect each step with arrows, annotate quantity changes.

Case 4: Batch Generate Paper Figures

I'm writing a paper on image classification and need the following figures:
1. Model architecture diagram (CNN + Attention)
2. Training curves (Accuracy and Loss)
3. Confusion matrix heatmap
4. Performance comparison bar chart for different models

Please generate these figures sequentially, maintaining a unified visual style.

Case 5: Integrate into Automation Workflows

In n8n or Dify, you can integrate figure generation into your automation workflows for batch processing and automated operations. For example:

• Automatically generate standardized figures from experimental data
• Batch convert data tables to visualization charts
• Auto-generate figures in paper writing assistance workflows

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📝 Notes

Item	Description
API Key Security	Keep your API Key secure, don't share with others or commit to public repositories
Quota Limits	API usage is subject to subscription quota limits, please use responsibly
Data Accuracy	Provide precise data values for the most accurate figure output
Figure Type	Specifying figure type clearly yields more precise results
Processing Time	Simple figures take ~5-10 seconds, complex figures may take 30+ seconds
Data Security	Processed data is automatically deleted from servers after 24 hours

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❓ FAQ

Q: Where can I get an API Key?

A: Visit https://figure.thirdme.com/mcp and enter your email address to generate an API Key.

Q: How do I test if my API Key is valid?

A: After generating a key on the MCP API page, you can use the "Test API Key" feature on the page to verify the key's validity.

Q: Is API usage charged?

A: API usage shares the same subscription quota as the web version. Please refer to the Pricing Page for specific pricing.

Q: Which journal styles are supported?

A: Currently supports Nature, Science, IEEE, Cell, and other mainstream SCI journal styles, with more being added continuously.

Q: What formats can figures be exported in?

A: Supports PNG (300dpi high-resolution), SVG (vector format), PDF, and other formats.

Q: How can I ensure data accuracy?

A:

• Use the dataValues parameter to provide precise values
• Clearly annotate key data points in your description
• Review after generation; use the edit_figure tool to make corrections if needed

Q: Who owns the copyright to generated figures?

A: Copyright of generated figures belongs to the user and can be freely used for academic paper publication.

Q: How do I handle subscription and quota issues?

A: API and web version use the same subscription service. You can manage subscriptions and view usage on the web version.

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📧 Support & Feedback

If you encounter any issues or have suggestions, please contact us:

Channel	Contact
📧 Email	[email protected]
🌐 Website	https://figure.thirdme.com
📄 API Documentation	https://figure.thirdme.com/mcp
💬 GitHub Issues	Submit Issue

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📄 License

This service follows ScholarPlot's Terms of Service and Privacy Policy.

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🎉 Start using MCP API and let AI create professional-grade academic figures for your research papers!

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🏷️ Topics

mcp scientific-figures sci-charts academic-visualization ai-figure-generator mcpserver claude-mcp cursor-mcp research-tools publication-ready nature-style neurips-style