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ceeyang-ai

Viz MCP Server

by ceeyang-ai
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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