explainx.ainewsletter3.4k
analytics-data

VChart▌

visactor

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

GitHubnpm
0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

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 28 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases▌

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

✓

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

✓

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

✓

Complete complex tasks end-to-end without manual steps

Implementation Guide▌

Prerequisites

  • ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • ›Basic understanding of MCP architecture and capabilities
  • ›Access credentials for integrated services (if required)
  • ›Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • ⚠MCP server not loading: Check config syntax, verify installation
  • ⚠Connection errors: Check network, firewall, credentials
  • ⚠Feature not working: Read server docs, check required parameters
  • ⚠Performance issues: Monitor resource usage, check for network latency
  • ⚠Conflicts with other servers: Check port assignments, namespace collisions

Best Practices▌

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • −Don't grant overly permissive access to MCP servers
  • −Don't skip reading security considerations in docs
  • −Don't expose sensitive data without proper controls
  • −Don't run untrusted MCP servers without code review
  • −Don't ignore error messages—investigate root cause

💡 Pro Tips

  • ★Combine multiple MCP servers for powerful workflows
  • ★Create custom MCP servers for your specific needs
  • ★Share successful configurations with team
  • ★Use MCP inspector for debugging
  • ★Join MCP community for tips and troubleshooting

Technical Details▌

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This▌

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration▌

  • →Tool composition: Chain multiple MCP tools in workflows
  • →Context augmentation: Provide AI with relevant external data
  • →Action delegation: Let AI execute tasks on external systems
  • →Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

List & Promote Your MCP Server

Share your MCP server with the developer community

GET_STARTED →
MCP server reviews

Ratings

4.7★★★★★28 reviews
  • ★★★★★Hassan Thompson· Dec 20, 2024

    We evaluated VChart against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Shikha Mishra· Dec 12, 2024

    According to our notes, VChart benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Sakshi Patil· Nov 27, 2024

    I recommend VChart for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Hassan Nasser· Nov 11, 2024

    Useful MCP listing: VChart is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Yash Thakker· Nov 3, 2024

    We wired VChart into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Layla Desai· Nov 3, 2024

    Strong directory entry: VChart surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Dhruvi Jain· Oct 22, 2024

    VChart is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • ★★★★★Aisha Park· Oct 22, 2024

    I recommend VChart for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Chaitanya Patil· Oct 18, 2024

    Strong directory entry: VChart surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Hassan Khanna· Oct 2, 2024

    VChart reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

showing 1-10 of 28

1 / 3