Viz MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_bar_chartA | Create a bar chart. Args: values: Numeric values for each bar labels: Category labels (optional, auto-generated if omitted) title: Chart title xlabel: X-axis label ylabel: Y-axis label palette: Color palette: default, vibrant, pastel, monochrome horizontal: If True, render horizontal bars output: 'svg' for inline SVG string, 'png' for file path |
| create_line_chartA | Create a line chart. Args: x_values: X-axis data points y_values: Y-axis data points title: Chart title xlabel: X-axis label ylabel: Y-axis label palette: Color palette: default, vibrant, pastel, monochrome show_points: Show data point markers output: 'svg' for inline SVG, 'png' for file path |
| create_pie_chartB | Create a pie / donut chart. Args: values: Numeric values (proportions) labels: Slice labels (optional) title: Chart title palette: Color palette: default, vibrant, pastel, monochrome show_percent: Show percentage labels on slices output: 'svg' for inline SVG, 'png' for file path |
| create_scatter_plotB | Create a scatter plot. Args: x_values: X data points y_values: Y data points labels: Optional point labels (for hover) title: Chart title xlabel: X-axis label ylabel: Y-axis label palette: Color palette: default, vibrant, pastel, monochrome regression_line: Show trend line output: 'svg' for inline SVG, 'png' for file path |
| create_histogramA | Create a histogram. Args: values: Numeric data points bins: Number of bins (default: 10) title: Chart title xlabel: X-axis label ylabel: Y-axis label palette: Color palette: default, vibrant, pastel, monochrome cumulative: Show cumulative distribution output: 'svg' for inline SVG, 'png' for file path |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool targets a distinct chart type (bar, histogram, line, pie, scatter) with no functional overlap. Descriptions and parameter differences make selection unambiguous.
All tools follow a uniform `create_<chart_type>` snake_case pattern. The verb `create` is consistent across all tools, and each ends with a specific noun for the chart type.
Five tools cover the essential set of basic chart types. This is well-scoped for a dedicated charting server, neither too few nor excessive.
The tool set covers the most common visualization types (bar, histogram, line, pie, scatter). Missing advanced chart types like area or box plots, but the set is complete for typical use cases and includes customization options (palette, labels, output format).