# AntV Visualization Libraries

> Use this tool when you need to create interactive and dynamic data visualizations, troubleshoot AntV implementations, or learn visualization best practices. It provides access to AntV's visualization ecosystem, including libraries such as g2, g6, and l7, through intelligent documentation retrieval and context-aware assistance. With inputs including user queries and library identifiers, it outputs relevant documentation, code examples, and technical guidance to support AI-assisted workflow development.

Canonical page: https://skillsregistry.net/skills/antv-visualization  
JSON: https://api.skillsregistry.net/v1/skills/antv-visualization

## Description

This MCP server provides AI assistants with access to AntV's visualization ecosystem through intelligent documentation retrieval and context-aware assistance for g2, g6, l7, x6, f2, and s2 libraries. Built by the AntV team using TypeScript with Zod validation and the Context7 API, it features two complementary tools: extract_antv_topic for preprocessing user queries to identify relevant libraries and extract technical topics, and query_antv_document for fetching official documentation, code examples, and best practices with support for complex task decomposition into subtasks. The implementation enforces mandatory tool usage for any AntV-related query regardless of complexity, includes comprehensive error handling and logging, and integrates with Context7's documentation service to provide up-to-date technical guidance, making it valuable for developers building data visualizations, troubleshooting AntV implementations, and learning visualization best practices through AI-assisted workflows.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/antv-visualization)
- **Repository:** <https://github.com/antvis/mcp-server-antv>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "antv-visualization"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/antv-visualization` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/antv-visualization/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt