Visualization
Visualization MCP Server
What is Visualization?
Visualization is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to visualization mcp server
Visualization MCP Server
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Visualization MCP Server
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx visualizationConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Visualization
The Visualization MCP Server is a self-hosted Python server that gives AI assistants the ability to generate seven types of data visualizations—including scatter plots, 3D plots, heatmaps, relationship graphs, histograms, line plots, and classification charts—using matplotlib, NumPy, pandas, and NetworkX, saving results as high-resolution PNGs.
Prerequisites
- Python 3.8 or higher with pip
- Git to clone the repository
- Claude Desktop or another MCP-compatible client
- A writable system temp directory for PNG output
- No external API keys or accounts required
Clone the repository
Download the server source code from GitHub.
git clone https://github.com/xlisp/visualization-mcp-server.git
cd visualization-mcp-serverCreate a virtual environment and install dependencies
Set up an isolated Python environment and install the required packages.
python3 -m venv .venv --upgrade-deps
source .venv/bin/activate
pip install "mcp[cli]" httpx matplotlib numpy pandas networkxNote the absolute paths for configuration
You need the absolute path to both the Python interpreter inside the venv and to visualization_server.py. Run these commands to find them.
which python
# e.g. /Users/yourname/visualization-mcp-server/.venv/bin/python
pwd
# e.g. /Users/yourname/visualization-mcp-serverConfigure Claude Desktop
Add the visualization server to Claude Desktop config, using the absolute paths noted above. On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json.
{
"mcpServers": {
"visualization": {
"command": "/Users/yourname/visualization-mcp-server/.venv/bin/python",
"args": ["/Users/yourname/visualization-mcp-server/visualization_server.py"]
}
}
}Restart Claude Desktop and verify
Quit and relaunch Claude Desktop. The visualization tools should now be available. Ask Claude to create a simple scatter plot to confirm the server is running.
Visualization Examples
Client configuration
Claude Desktop config entry using the venv Python interpreter and absolute path to the server script.
{
"mcpServers": {
"visualization": {
"command": "/Users/yourname/visualization-mcp-server/.venv/bin/python",
"args": ["/Users/yourname/visualization-mcp-server/visualization_server.py"]
}
}
}Prompts to try
Example prompts that trigger different visualization tool types.
- "Create a scatter plot of x=[1,2,3,4,5] and y=[2,4,1,5,3] with title 'Sample Data'"
- "Draw a relationship graph with nodes Alice, Bob, Charlie and edges Alice-Bob, Bob-Charlie"
- "Generate a heatmap from this 4x4 matrix: [[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]]"
- "Make a 3D scatter plot from these points and color by category"
- "Plot a histogram of a normal distribution with 1000 samples and 30 bins"Troubleshooting Visualization
ModuleNotFoundError for matplotlib or numpy when the server starts
Make sure the command in your Claude Desktop config points to the Python interpreter inside the .venv directory, not the system Python. The packages were installed into the virtual environment, not system-wide.
Visualizations are generated but Claude cannot display them
The server saves PNGs to the system temp directory with timestamped filenames. Claude will report the file path. Open the file manually from that path, or check /tmp/ (macOS/Linux) or %TEMP% (Windows) for the output.
Server crashes with display or backend errors on a headless system
Set the matplotlib backend to non-interactive by adding `import matplotlib; matplotlib.use('Agg')` at the top of visualization_server.py before any other matplotlib imports. This disables the GUI window requirement.
Frequently Asked Questions about Visualization
What is Visualization?
Visualization is a Model Context Protocol (MCP) server that visualization mcp server It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Visualization?
Follow the installation instructions on the Visualization GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Visualization?
Visualization works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Visualization free to use?
Yes, Visualization is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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