ai-mldeveloper-tools

AntV Visualization Libraries

antvis

by antvis

Discover AntV Visualization Libraries for smart documentation, code examples, and best practices in g2, g6, l7, x6, f2,

Integrates with AntV's visualization ecosystem to provide intelligent documentation retrieval, code examples, and best practices for g2, g6, l7, x6, f2, and s2 libraries through query preprocessing and context-aware assistance.

github stars

36

0 commentsdiscussion

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

Supports 6 AntV librariesAntV 5.x compatible with latest APIsSmart intent detection

best for

  • / Frontend developers building data visualizations
  • / Teams working with AntV chart libraries
  • / Learning AntV APIs and implementation patterns

capabilities

  • / Extract intent from AntV-related queries
  • / Retrieve documentation for G2, G6, L7, X6, F2, S2 libraries
  • / Fetch code examples and best practices
  • / Process visualization library queries intelligently

what it does

Provides intelligent documentation retrieval and code examples for AntV's visualization libraries including G2, G6, L7, X6, F2, and S2. Helps developers quickly find relevant docs and best practices through context-aware assistance.

about

AntV Visualization Libraries is an official MCP server published by antvis that provides AI assistants with tools and capabilities via the Model Context Protocol. Discover AntV Visualization Libraries for smart documentation, code examples, and best practices in g2, g6, l7, x6, f2, It is categorized under ai ml, developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install AntV Visualization Libraries 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

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

readme

MCP Server AntV npm Version smithery badge npm License

A Model Context Protocol (MCP) server designed for AI development and QA that provides AntV documentation context and code examples using the latest APIs.

<img width="768" alt="mcp-server-antv Technical Architecture" src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*WHSOR7L8U0YAAAAATjAAAAgAemJ7AQ/fmt.webp" />

Supports G2, G6, and F2 libraries for declarative visualization workflows, with S2, X6, L7, and more (including AVA, ADC, and G) coming soon.

✨ Features

  • AntV 5.x Compatibility: Leverages the latest APIs for performance and modularity.
  • 🧩 Multi-Library Support: G2 (2D charts), G6 (graph/networks), and F2 (mobile charts).
  • 🔍 Smart Intent Extraction: Detects library usage and task complexity via extract_antv_topic.
  • 📚 Contextual Documentation: Fetches relevant AntV docs and code snippets with query_antv_document.

🛠️ Quick Start

Requirements

  • Node.js >= v18.0.0
  • Cursor, VSCode, Cline, Claude Desktop or another MCP Client.

Connect to Cursor

Install MCP Server

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

{
  "mcpServers": {
    "mcp-server-antv": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-antv"]
    }
  }
}

On Window system:

{
  "mcpServers": {
    "mcp-server-antv": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-antv"]
    }
  }
}

Connect to VSCode

Install in VSCode

Pasting the following configuration into your VSCode ~/.vscode/mcp.json file is the recommended approach.

{
  "servers": {
    "mcp-server-antv": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-antv"]
    }
  }
}

or command-line configuration

code --add-mcp "{"name":"mcp-server-antv","command": "npx","args": ["-y","@antv/mcp-server-antv"]}"

🧪 Example Workflow

An example workflow:

<video src="https://github.com/user-attachments/assets/242471c6-33f5-4588-95f5-96a3f26aab21" ></video>

🧰 Tools Overview

ToolFunctionality
extract_antv_topicExtract user intent, detects library (G2/G6/F2), and infers task complexity.
query_antv_documentfetch latest documentation and code examples with context7

🔨 Contributing

Clone the repo

git clone https://github.com/antvis/mcp-server-chart.git
cd mcp-server-chart

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server:

npm run start

📄 License

MIT@AntV.

FAQ

What is the AntV Visualization Libraries MCP server?
AntV Visualization Libraries 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 AntV Visualization Libraries?
This profile displays 27 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.

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Ratings

4.727 reviews
  • Zaid Desai· Dec 24, 2024

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

  • Shikha Mishra· Dec 20, 2024

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

  • Isabella Martinez· Dec 16, 2024

    AntV Visualization Libraries is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Luis Martin· Dec 4, 2024

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

  • Luis Menon· Nov 23, 2024

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

  • Yash Thakker· Nov 11, 2024

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

  • Emma Jain· Nov 7, 2024

    AntV Visualization Libraries reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • James Huang· Oct 26, 2024

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

  • Luis Yang· Oct 14, 2024

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

  • Dhruvi Jain· Oct 2, 2024

    AntV Visualization Libraries reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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