What is the VChart MCP server?

VChart is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.

How do MCP servers relate to agent skills?

Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.

How are reviews shown for VChart?

This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

analytics-data

VChart▌

by visactor

Create interactive visualizations and charts with VChart, a powerful data analysis tool and pie chart maker for flexible

Generates interactive charts and visualizations using the VChart library, supporting over 15 chart types from basic line and bar charts to specialized heatmaps and hierarchical visualizations with flexible output formats including specifications, rendered images, or HTML embeddings.

github stars

★ 48

GitHub npm

15+ chart types supportedMultiple output formatsInteractive visualizations

best for

/ Data analysts creating interactive dashboards
/ Developers building visualization features
/ Creating charts for reports and presentations

capabilities

/ Generate line, bar, and area charts
/ Create polar charts like pie, radar, and rose charts
/ Build hierarchical visualizations like treemaps and sunburst charts
/ Generate scatter plots and heatmaps
/ Create Sankey diagrams for flow visualization
/ Export charts as images or HTML

what it does

Creates interactive charts and visualizations from data using the VChart library. Supports 15+ chart types with output as specifications, images, or HTML.

about

VChart is an official MCP server published by visactor that provides AI assistants with tools and capabilities via the Model Context Protocol. Create interactive visualizations and charts with VChart, a powerful data analysis tool and pie chart maker for flexible It is categorized under analytics data. This server exposes 10 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install VChart in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

VChart is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

vchart-mcp-server

A Model Context Protocol (MCP) server for the [@visactor/vchart](https://github.com/VisActor/VChart) that enables AI assistants to generate interactive charts and visualizations. [![MCP Server](https://badge.mcpx.dev?type=server 'MCP Server')](https://modelcontextprotocol.io/) [![npm Version](https://img.shields.io/npm/v/@visactor/vchart-mcp-server.svg)](https://www.npmjs.com/package/@visactor/vchart-mcp-server) [![npm License](https://img.shields.io/npm/l/@visactor/vchart-mcp-server.svg)](https://www.npmjs.com/package/@visactor/vchart-mcp-server) [![smithery badge](https://smithery.ai/badge/@visactor/vchart-mcp-server)](https://smithery.ai/server/@visactor/vchart-mcp-server)

English | [简体中文](./README.zh-CN.md)

## Table of Contents - [Table of Contents](#table-of-contents) - [Features](#features) - [Chart Output Formats](#chart-output-formats) - [Common Parameters Supported by All Charts](#common-parameters-supported-by-all-charts) - [Supported Chart Types and Tools](#supported-chart-types-and-tools) - [`generate_cartesian_chart`](#generate_cartesian_chart) - [`generate_polar_chart`](#generate_polar_chart) - [`generate_hierarchical_chart`](#generate_hierarchical_chart) - [`generate_progress_chart`](#generate_progress_chart) - [`generate_wordcloud_venn`](#generate_wordcloud_venn) - [`generate_range_column_chart`](#generate_range_column_chart) - [`generate_dual_axis_chart`](#generate_dual_axis_chart) - [`generate_scatter_chart`](#generate_scatter_chart) - [`generate_sankey_chart`](#generate_sankey_chart) - [`generate_heatmap_chart`](#generate_heatmap_chart) - [Usage](#usage) - [MacOS](#macos) - [Windows](#windows) - [Installing via Smithery](#installing-via-smithery) - [Running with SSE or Streamable Transport](#running-with-sse-or-streamable-transport) - [Install and Start](#install-and-start) - [Other CLI Options](#other-cli-options) - [Example Usage in AI Conversations](#example-usage-in-ai-conversations) - [Development](#development) - [Prerequisites](#prerequisites) - [Build](#build) - [Development Mode (Auto Rebuild)](#development-mode-auto-rebuild) - [Testing](#testing) - [Debugging](#debugging) - [Testing in AI Editors](#testing-in-ai-editors) - [Environment Variables](#environment-variables) - [Private Deployment](#private-deployment) - [License](#license) - [Contributing](#contributing) - [Related Projects](#related-projects) ## Features ### Chart Output Formats Each chart can be generated in multiple formats: - **Image** - PNG/JPG image format for embedding (default) - **Spec** - VChart spec object for programmatic use - **HTML** - Interactive HTML chart for web display ### Common Parameters Supported by All Charts | Parameter | Description | Type/Options | Default | | ------------- | ---------------- | ----------------------------------------- | --------- | | `output` | Output format | `"spec"` | `"image"` | `"html"` | `"image"` | | `width` | Chart width | Number | `500` | | `height` | Chart height | Number | `500` | | `title` | Chart title | String | Optional | | `subTitle` | Chart subtitle | String | Optional | | `titleOrient` | Title position | String | Optional | | `chartTheme` | Chart theme | String | Optional | | `background` | Background color | String | Optional | | `colors` | Color palette | Array/String | Optional | ### Supported Chart Types and Tools #### `generate_cartesian_chart` Generates Cartesian coordinate system charts, including area, bar, line, waterfall, funnel, and animated ranking bar charts. | Parameter | Description | Type | Required | | ---------------- | --------------------------------------------- | ----------------------------------------------------------------------------------------------------- | -------- | | `dataTable` | Data object array | Array | Yes | | `chartType` | Chart type | `"line"` | `"area"` | `"bar"` | `"waterfall"` | `"funnel"` | `"ranking_bar"` | Yes | | `xField` | X axis field name | `string` | Yes | | `yField` | Y axis field name | `string` | Yes | | `colorField` | Color mapping field | `string` | Optional | | `timeField` | Time field for animated ranking bar chart | `string` | Optional | | `stackOrPercent` | Stack or percent mode | `"stack"` | `"percent"` | Optional | | `transpose` | Display bar chart horizontally (as bar chart) | `boolean` | Optional | | `xAxisType` | X axis type | `"band"` | `"linear"` | Optional | | `xAxisOrient` | X axis position | `"top"` | `"bottom"` | Optional | | `xAxisTitle` | X axis title | `string` | Optional | | `xAxisHasGrid` | Show X axis grid lines | `boolean` | Optional | | `xAxisHasLabel` | Show X axis labels | `boolean` | Optional | | `xAxisHasTick` | Show X axis ticks | `boolean` | Optional | | `yAxisType` | Y axis type | `"band"` | `"linear"` | Optional | | `yAxisOrient` | Y axis position | `"left"` | `"right"` | Optional | | `yAxisTitle` | Y axis title | `string` | Optional | | `yAxisHasGrid` | Show Y axis grid lines | `boolean` | Optional | | `yAxisHasLabel` | Show Y axis labels | `boolean` | Optional | | `yAxisHasTick` | Show Y axis ticks | `boolean` | Optional | #### `generate_polar_chart` Generates polar coordinate system charts, including radar, rose, and pie charts. | Parameter | Description | Type/Options | Required | | -------------------- | --------------------------- | ---------------------------------------- | -------- | | `dataTable` | Data object array | Array | Yes | | `chartType` | Chart type | `"radar"` | `"rose"` | `"pie"` | Yes | | `categoryField` | Category field name | `string` | Yes | | `valueField` | Value field name | `string` | Yes | | `colorField` | Color mapping field | `string` | Optional | | `angleAxisTitle` | Angle axis title | `string` | Optional | | `angleAxisHasGrid` | Show angle axis grid lines | `boolean` | Optional | | `angleAxisHasLabel` | Show angle axis labels | `boolean` | Optional | | `angleAxisHasTick` | Show angle axis ticks | `boolean` | Optional | | `angleAxisType` | Angle axis type | `"band"` | `"linear"` | Optional | ---

FAQ

What is the VChart MCP server?: VChart is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?: Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for VChart?: This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

MCP server reviews

Ratings

4.5★★★★★10 reviews

★★★★★Shikha Mishra· Oct 10, 2024
VChart is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
★★★★★Piyush G· Sep 9, 2024
We evaluated VChart against two servers with overlapping tools; this profile had the clearer scope statement.
★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: VChart is the kind of server we cite when onboarding engineers to host + tool permissions.
★★★★★Sakshi Patil· Jul 7, 2024
VChart reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
★★★★★Ganesh Mohane· Jun 6, 2024
I recommend VChart for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: VChart surfaces stars and publisher context so we could sanity-check maintenance before adopting.
★★★★★Dhruvi Jain· Apr 4, 2024
VChart has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
★★★★★Rahul Santra· Mar 3, 2024
According to our notes, VChart benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
★★★★★Pratham Ware· Feb 2, 2024
We wired VChart into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
★★★★★Yash Thakker· Jan 1, 2024
VChart is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.