mcp-server-chart

🥇Gold

The mcp-server-chart is a powerful visualization tool that utilizes over 25 visual charts for data analysis, built with @antvis. Ideal for generating insightful charts to enhance data-driven decision-making.

3,9053460Updated 1w ago

Intermediate15 minutes to implementanalytics

Saves ~75 min per use

Quick InstallView Source

claude install antvis/mcp-server-chart

Works with:

ChatGPTGitHub Copilot

Overview

About This Skill

https://github.com/antvis/mcp-server-chart

How to Use

1. Gather your dataset and identify the key insights you want to highlight. 2. Use the prompt template to specify the project name, dataset, and key insights. 3. Copy and paste the prompt into your AI tool (e.g., Claude or ChatGPT). 4. Review the generated chart and make any necessary adjustments. 5. Integrate the chart into your report or presentation using tools like Type for collaborative editing and sharing.

Use Cases

Creating interactive dashboards to visualize marketing performance metrics.

Analyzing sales trends over time with various chart types to identify patterns.

Generating comprehensive reports for data-driven presentations to stakeholders.

Visualizing customer insights to tailor targeted marketing campaigns effectively.

Best For

MarketingRevOpsGrowth

Setup & Installation

Quick Install

Terminal

claude install antvis/mcp-server-chart

Alternative Install (Git Clone)

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

Requirements

Claude Code or compatible AI agent
Works with: ChatGPT, GitHub Copilot

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Generate a comprehensive mcp-server-chart for [PROJECT_NAME] using the following dataset: [DATASET]. Include at least 5 different chart types to visualize trends, comparisons, and distributions. Highlight key insights such as [KEY_INSIGHT_1], [KEY_INSIGHT_2], and [KEY_INSIGHT_3].

Example Output

The mcp-server-chart for the Q3 Sales Performance of XYZ Corp has been successfully generated. The dashboard includes a line chart showing the monthly sales trend, a bar chart comparing sales across different regions, a pie chart illustrating the market share of top products, a scatter plot analyzing the relationship between sales and marketing spend, and a heatmap visualizing customer engagement levels. Key insights include a 20% increase in sales in the Western region, a significant drop in sales for Product A, and a strong correlation between higher marketing spend and increased sales. The dashboard also highlights that customer engagement is highest during promotional periods.

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