Sandbox
@antvis/mcp-server-antv

MCP server for AntV visualization docs

This MCP server connects an agent to AntV documentation and code examples. It helps the agent detect the task, find the right library context, and answer with current AntV APIs for G2, G6, and F2.

39 stars5 forksTypeScriptUpdated 4mo ago
Who it's for

Builders who use an MCP-capable editor or chat agent to develop AntV visualizations.

What it delivers

You can ask for chart or graph help without leaving your agent to hunt for AntV docs and examples.

What it does

Library-aware intent extraction

`extract_antv_topic` detects whether the request is about G2, G6, or F2 and estimates task complexity.

Documentation lookup

`query_antv_document` fetches relevant AntV documentation and code snippets with context.

Multi-library support

The server covers G2, G6, and F2 now, with more AntV libraries listed as coming soon.

MCP client support

The README shows setup for Cursor, VSCode, and other MCP clients.

How to get it

  1. 1or command-line configuration
    code --add-mcp "{\"name\":\"mcp-server-antv\",\"command\": \"npx\",\"args\": [\"-y\",\"@antv/mcp-server-antv\"]}"

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.

mcp-server-antv Technical Architecture

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:

🧰 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.

Files in the repo

Repository payload11 top-level entries
  • __tests__
  • .github
  • src
  • .editorconfig
  • .gitignore
  • .prettierignore
  • .prettierrc
  • LICENSE
  • package.json
  • README.md
  • tsconfig.json

Discussion (0)

Ask about usage, or say what you built with it

Sign in to join the discussion.

No comments yet. Be the first to say what this is good for.

More connectors

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

43k

Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code

14k
okf-memory/
okf-agent-memory

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

547
tirth8205/
code-review-graph

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.

31k
2akouwu/
reverify

Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.

1.1k
t8y2/dbxConnectors

20 MB lightweight cross-platform database client for 90+ databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, and Dameng. Built-in AI, MCP Server, CLI, desktop and Docker. | 轻量级跨平台数据库管理工具,支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、达梦等 90+ 数据库,提供桌面端、Docker、CLI、内置 AI 助手和 MCP Server。

19k