Charted
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
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_chartA | Generate an SVG, HTML, data-URL, or rasterized PNG chart from structured data. Supports 14 chart types (bar, column, line, scatter, bubble, pie, polar_area, radar, area, box, histogram, heatmap, gantt, combo) plus 'auto' which picks the best type automatically. Use this when you have data already in memory as a list or dict; for CSV input prefer chart_from_csv instead. |
| list_chart_typesA | Return the full list of chart types supported by charted, each with its type identifier and a short description of what it is best suited for. Call this before create_chart or chart_from_csv when you are unsure which chart_type to choose. |
| list_themesA | Return all available theme presets and named color palettes that can be passed to the theme parameter of create_chart or chart_from_csv. Also returns a usage hint showing how to combine a palette with custom background and foreground colors. |
| chart_from_csvA | Parse raw CSV text and generate a chart directly from it, without requiring the caller to pre-process the data. The tool auto-detects numeric columns for the y-axis and uses the first non-numeric column as x-axis labels. Use this when the user provides CSV content directly; for data already in a Python list or dict use create_chart instead. |
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 4 tools
Each tool has a distinct and clearly defined purpose. chart_from_csv and create_chart are differentiated by input format (CSV vs structured data), and their descriptions explicitly guide the agent on when to use each. list_chart_types and list_themes serve separate informational roles with no ambiguity.
All tool names follow a consistent verb_noun pattern in snake_case: chart_from_csv, create_chart, list_chart_types, list_themes. The naming is predictable and matches the tool's action and subject.
With 4 tools, the server is well-scoped for its purpose: two creation tools for different input types and two informational tools for discovery. Each tool earns its place without unnecessary bloat or deficiency.
The tool set covers the core workflow of generating charts from data, including type and theme selection. Minor gaps exist, such as the absence of a tool to validate CSV or inspect default settings, but these are not critical for basic operation.