| Name | mcp-d3-server JSON |
| Version |
1.0.2
JSON |
| download |
| home_page | None |
| Summary | A Python MCP server for D3.js visualization information and chart generation |
| upload_time | 2025-07-14 09:15:39 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
d3
dataviz
mcp
python
visualization
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# MCP D3 Server (Python)
A Python-based MCP (Model Context Protocol) server that provides D3.js visualization information, chart generation, and documentation resources. This is a Python port of the original Node.js MCP D3 server with STDIO support for use with `uv` and other Python package managers.
## Features
- **D3.js Documentation Resources**: Access to curated D3.js documentation and examples
- **Chart Generation Tools**: Generate D3.js chart code for various chart types (bar, line, etc.)
- **AI-Powered Chart Creation**: Use AI to generate custom D3 visualizations based on descriptions
- **Data Analysis**: Analyze data and get visualization recommendations
- **STDIO Transport**: Compatible with MCP clients using stdio transport
## Installation
### Using uv (recommended)
```bash
cd mcp-d3-server-python
uv sync
```
### Using pip
```bash
cd mcp-d3-server-python
pip install -e .
```
## Usage
### Running as STDIO MCP Server
```bash
# Using uv
uv run mcp-d3-server
# Using pip-installed package
mcp-d3-server
```
### Configuration for MCP Clients
Add to your MCP client configuration:
```json
{
"mcpServers": {
"d3-visualization": {
"command": "uv",
"args": ["run", "mcp-d3-server"],
"cwd": "/path/to/mcp-d3-server-python"
}
}
}
```
## Available Resources
- `d3-docs://d3-gallery` - D3.js gallery and examples
- `d3-docs://d3-indepth` - In-depth D3.js guide and documentation
- `d3-docs://d3-org` - Official D3.js documentation
- `d3-search://query` - Search across all D3 documentation
- `d3-topic://topic[/section]` - Get information about specific D3 topics
## Available Tools
### generate-d3-chart
Generate D3.js chart code based on chart type and data format.
**Parameters:**
- `chartType` (string): Type of chart (bar, line, pie, etc.)
- `dataFormat` (string): Description of your data format
- `features` (array, optional): Additional features to include
### recommend-chart
Get chart type recommendations based on your data and visualization goals.
**Parameters:**
- `dataDescription` (string): Description of your data
- `purpose` (string): What insights you want to gain
### ai-generate-d3
Use AI to generate custom D3.js visualizations.
**Parameters:**
- `description` (string): Describe the chart you want
- `dataExample` (string): Example of your data structure
### analyze-data
Analyze data and get visualization suggestions.
**Parameters:**
- `data` (string): Your data in JSON or CSV format
- `goal` (string): What you want to learn from the data
## Development
### Setup Development Environment
```bash
cd mcp-d3-server-python
uv sync --extra dev
```
### Running Tests
```bash
uv run pytest
```
### Code Formatting
```bash
uv run black src/
uv run ruff check src/
```
### Type Checking
```bash
uv run mypy src/
```
## Project Structure
```
mcp-d3-server-python/
├── src/
│ └── mcp_d3_server/
│ ├── __init__.py
│ ├── server.py # Main MCP server with STDIO support
│ ├── services.py # Service implementations
│ └── types.py # Type definitions
├── assets/
│ └── llm-full/ # D3 documentation files
├── pyproject.toml # Python package configuration
└── README.md
```
## License
MIT
Raw data
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"description": "# MCP D3 Server (Python)\n\nA Python-based MCP (Model Context Protocol) server that provides D3.js visualization information, chart generation, and documentation resources. This is a Python port of the original Node.js MCP D3 server with STDIO support for use with `uv` and other Python package managers.\n\n## Features\n\n- **D3.js Documentation Resources**: Access to curated D3.js documentation and examples\n- **Chart Generation Tools**: Generate D3.js chart code for various chart types (bar, line, etc.)\n- **AI-Powered Chart Creation**: Use AI to generate custom D3 visualizations based on descriptions\n- **Data Analysis**: Analyze data and get visualization recommendations\n- **STDIO Transport**: Compatible with MCP clients using stdio transport\n\n## Installation\n\n### Using uv (recommended)\n\n```bash\ncd mcp-d3-server-python\nuv sync\n```\n\n### Using pip\n\n```bash\ncd mcp-d3-server-python\npip install -e .\n```\n\n## Usage\n\n### Running as STDIO MCP Server\n\n```bash\n# Using uv\nuv run mcp-d3-server\n\n# Using pip-installed package\nmcp-d3-server\n```\n\n### Configuration for MCP Clients\n\nAdd to your MCP client configuration:\n\n```json\n{\n \"mcpServers\": {\n \"d3-visualization\": {\n \"command\": \"uv\",\n \"args\": [\"run\", \"mcp-d3-server\"],\n \"cwd\": \"/path/to/mcp-d3-server-python\"\n }\n }\n}\n```\n\n## Available Resources\n\n- `d3-docs://d3-gallery` - D3.js gallery and examples\n- `d3-docs://d3-indepth` - In-depth D3.js guide and documentation \n- `d3-docs://d3-org` - Official D3.js documentation\n- `d3-search://query` - Search across all D3 documentation\n- `d3-topic://topic[/section]` - Get information about specific D3 topics\n\n## Available Tools\n\n### generate-d3-chart\nGenerate D3.js chart code based on chart type and data format.\n\n**Parameters:**\n- `chartType` (string): Type of chart (bar, line, pie, etc.)\n- `dataFormat` (string): Description of your data format\n- `features` (array, optional): Additional features to include\n\n### recommend-chart \nGet chart type recommendations based on your data and visualization goals.\n\n**Parameters:**\n- `dataDescription` (string): Description of your data\n- `purpose` (string): What insights you want to gain\n\n### ai-generate-d3\nUse AI to generate custom D3.js visualizations.\n\n**Parameters:**\n- `description` (string): Describe the chart you want\n- `dataExample` (string): Example of your data structure\n\n### analyze-data\nAnalyze data and get visualization suggestions.\n\n**Parameters:**\n- `data` (string): Your data in JSON or CSV format\n- `goal` (string): What you want to learn from the data\n\n## Development\n\n### Setup Development Environment\n\n```bash\ncd mcp-d3-server-python\nuv sync --extra dev\n```\n\n### Running Tests\n\n```bash\nuv run pytest\n```\n\n### Code Formatting\n\n```bash\nuv run black src/\nuv run ruff check src/\n```\n\n### Type Checking\n\n```bash \nuv run mypy src/\n```\n\n## Project Structure\n\n```\nmcp-d3-server-python/\n\u251c\u2500\u2500 src/\n\u2502 \u2514\u2500\u2500 mcp_d3_server/\n\u2502 \u251c\u2500\u2500 __init__.py\n\u2502 \u251c\u2500\u2500 server.py # Main MCP server with STDIO support\n\u2502 \u251c\u2500\u2500 services.py # Service implementations\n\u2502 \u2514\u2500\u2500 types.py # Type definitions\n\u251c\u2500\u2500 assets/\n\u2502 \u2514\u2500\u2500 llm-full/ # D3 documentation files\n\u251c\u2500\u2500 pyproject.toml # Python package configuration\n\u2514\u2500\u2500 README.md\n```\n\n## License\n\nMIT",
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