★ 4090 TypeScript MIT sse 更新 2小时前

Chart

🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

安装配置

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

README 摘要

# MCP Server Chart A Model Context Protocol server for generating charts using [AntV](https://github.com/antvis/). We can use this mcp server for _chart generation_ and _data analysis_. ![](https://badge.mcpx.dev?type=server "MCP Server") [![build](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml/badge.svg)](https://github.com/antvis/mcp-server-chart/actions/workflows/build.yml) [![npm Version](https://img.shields.io/npm/v/@antv/mcp-server-chart.svg)](https://www.npmjs.com/package/@antv/mcp-server-chart) [![npm License](https://img.shields.io/npm/l/@antv/mcp-server-chart.svg)](https://www.npmjs.com/package/@antv/mcp-server-chart) [![codecov](https://codecov.io/gh/antvis/mcp-server-chart/graph/badge.svg?token=7R98VGO5GL)](https://codecov.io/gh/antvis/mcp-server-chart) [![smithery installations badge](https://smithery.ai/badge/antvis/mcp-server-chart)](https://smithery.ai/servers/antvis/mcp-server-chart) ![Visitors](https://hitscounter.dev/api/hit?url=https://github.com/antvis/mcp-server-chart&label=Visitors&icon=graph-up&color=%23dc3545&message=&style=flat&tz=UTC) This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in [Dify](https://marketplace.dify.ai/plugins/antv/visualization). ## 📋 Table of Contents - [✨ Features](#-features) - [🤖 Usage](#-usage) - [🎨 Skill Usage](#-skill-usage) - [🚰 Run with SSE or Streamable transport](#-run-with-sse-or-streamable-transport) - [🎮 CLI Options](#-cli-options) - [⚙️ Environment Variables](#%EF%B8%8F-environment-variables) - [VIS_REQUEST_SERVER](#-private-deployment) - [SERVICE_ID](#%EF%B8%8F-generate-records) - [DISABLED_TOOLS](#%EF%B8%8F-tool-filtering) - [📠 Private Deployment](#-private-deployment) - [🗺️ Generate Records](#%EF%B8%8F-generate-records) - [🎛️ Tool Filtering](#%EF%B8%8F-tool-filtering) - [🔨 Development](#-development) - [📄 License](#-license) ## ✨ Features Now 26+ charts supported. 1. `generate_area_chart`: Generate an `area` chart, used to display the trend of data under a continuous independent variable, allowing observation of overall data trends. 1. `generate_bar_chart`: Generate a `bar` chart, used to compare values across different categories, suitable for horizontal comparisons. 1. `generate_boxplot_chart`: Generate a `boxplot`, used to display the distribution of data, including the median, quartiles, and outliers. 1. `generate_column_chart`: Generate a `column` chart, used to compare values across different categories, suitable for vertical comparisons. 1. `generate_district_map` - Generate a `district-map`, used to show administrative divisions and data distribution. 1. `generate_dual_axes_chart`: Generate a `dual-axes` chart, used to display the relationship between two variables with different units or ranges. 1. `generate_fishbone_diagram`: Generate a `fishbone` diagram, also known as an Ishikawa diagram, used to identify and display the root causes of a problem. 1. `generate_flow_diagram`: Generate a `flowchart`, used to display the steps and sequence of a process. 1. `generate_funnel_chart`: Generate a `funnel` chart, used to display data loss at different stages. 1. `generate_histogram_chart`: Generate a `histogram`, used to display the distribution of data by dividing it into intervals and counting the number of data points in each interval. 1. `generate_line_chart`: Generate a `line` chart, used to disp...

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