VChartSAFE
A Model Context Protocol (MCP) server for the @visactor/vchart that enables AI assistants to generate interactive charts and visualizations.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
vchart-mcp-server
A Model Context Protocol (MCP) server for the @visactor/vchart that enables AI assistants to generate interactive charts and visualizations.
[](https://modelcontextprotocol.io/) [](https://www.npmjs.com/package/@visactor/vchart-mcp-server) [](https://www.npmjs.com/package/@visactor/vchart-mcp-server) [](https://smithery.ai/server/@visactor/vchart-mcp-server)
English | 简体中文
Table of Contents
- Table of Contents
- Features
- Chart Output Formats
- Common Parameters Supported by All Charts
- Supported Chart Types and Tools
generate_cartesian_chartgenerate_polar_chartgenerate_hierarchical_chartgenerate_progress_chartgenerate_wordcloud_venngenerate_range_column_chart- [
generate_dual_axis_chart](#gen
042d0f787865OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add vchart-mcp-server -- npx -y @visactor/[email protected]
{
"mcpServers": {
"vchart-mcp-server": {
"command": "npx",
"args": [
"-y",
"@visactor/[email protected]"
]
}
}
}Exposed tools (16)
16 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
generate_cartesian_chart | read | Generates Cartesian charts: line (trends over time), area (cumulative totals), bar (category comparison), waterfall (incremental changes), ranking bar (ordered categories), and funnel (visualizes stages in a process or conversion rates). |
generate_dual_axis_chart | read | Generate a dual-axis chart for visualizing two quantitative variables using a combination of bar and line series. Ideal for comparing trends and magnitudes across two metrics with distinct y-axes. |
generate_dynamic_bar_chart | read | Generates a dynamic bar chart which is suitable for displaying changing data and can be used to show ranking, comparisons or data changes over time. The x field and the time field MUST be different. It updates the data dynamically according to the time field. |
generate_funnel_chart | read | Generate a funnel chart to visually represent the sequential reduction or transformation of values across categorical stages. This visualization is ideal for illustrating processes such as sales pipelines, conversion rates, or any workflow where data diminishes through progressive phases. |
generate_heatmap_chart | read | Generates a heatmap chart based on a Cartesian coordinate system. It is used to visualize the intensity or density of values at the intersection of two discrete variables, suitable for revealing association patterns and distribution characteristics between variables. |
generate_hierarchical_chart | read | Generate a chart for hierarchical visualization of multi-level categorical data proportions, include sunburst, treemap, circle_packing. |
generate_liquid_chart | read | Generate a liquid chart, which visually displays percentage or progress metrics. Suitable for showing proportions, completion rates, and similar scenarios. |
generate_pie_chart | read | Generate a pie chart to visually represent the proportional distribution of categories within a dataset. Ideal for illustrating the relative contribution of each category to the whole. |
generate_polar_chart | read | Generate a polar chart (rose, radar, pie) to display numerical differences among different categories using radius and angle in polar coordinates. |
generate_progress_chart | read | Generates a progress chart for visualizing quantitative values normalized between 0 and 1. Ideal for representing progress, completion rates, or proportional metrics. The gauge chart and liquid chart currently only supports displaying data for a single dimension. |
generate_range_column_chart | read | Generate a range column chart to display the value range (such as minimum and maximum) for each category, suitable for comparing the range distribution across different categories. |
generate_sankey_chart | read | Generate a Sankey diagram to visualize the flow relationships between nodes in complex networks, suitable for displaying the distribution and flow paths of source and target data. |
generate_scatter_chart | read | Generate a scatter chart to visually display the distribution, clustering trends, and correlations of data points in two-dimensional or multi-dimensional space. Suitable for analyzing relationships between variables, outlier detection, and similar scenarios. |
generate_venn_chart | read | Generate a Venn Diagram for visualizing relationships such as intersections and unions between sets. |
generate_waterfall_chart | read | Generates a waterfall chart to visualize increases and decreases across stages, clearly reflecting the composition and changes of cumulative values. Suitable for scenarios such as financial analysis and process breakdown. |
generate_wordcloud_venn | read | Generate a word cloud to visualize word frequency or importance, or a Venn diagram to show relationships such as intersections and unions between sets. |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- declared (1 observation(s))
- Network
- declared (1 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (5)
.prettierignore
.prettierrc.json
import packageJson from '../../package.json';
import * as Charts from "../../src/charts/index";
@modelcontextprotocol/sdk, @visactor/generate-vchart, @visactor/vutils, axios, undici, zod, zod-to-json-schema, @commitlint/cli
Gates applied: no_behavioural_pass.
042d0f787865full audit observations/trust-audit/mcp-server/visactor__vchart.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 042d0f787865 | SAFE | B | 89 | first audit |
Questions
What is the VChart MCP server?
A Model Context Protocol (MCP) server for the @visactor/vchart that enables AI assistants to generate interactive charts and visualizations.
What tools does VChart expose?
16 in total: 16 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is VChart safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does VChart need?
No credential environment variables were found in its source, so it appears to need none.
How does VChart run?
It speaks sse, stdio and streamable-http, so it runs as a local process your client starts. It is published on npm as @visactor/vchart-mcp-server at 0.1.4.
How current is this page?
The grade is for one exact copy of the source (042d0f787865), read on 2026-10-08. The repository is watched and re-audited when it changes.