antvis/mcp-server-chart

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

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Summary Information

Updated 55 minutes ago
Added to GitGenius on September 15th, 2026
Created on April 25th, 2025
Open Issues & Pull Requests: 6 (+0)
GitHub issues: Enabled
Number of forks: 420
Total Stargazers: 4,375 (+0)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.5 hours
Mean response time: 6.3 days
90th percentile: 16.9 days
Tracked items: 176

Most active contributors

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How this project is maintained

About 7% of issues opened in the past year have never received a reply. 86% of issues opened in the past year have been closed, leaving a working backlog. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 8
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 109 days
Stale 30+ days: 4
Stale 90+ days: 3

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • oscp (5)
  • help wanted (3)
  • need improvement (2)
  • waiting for author (2)
  • notabug (1)
  • wontfix (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

mcp-server-chart is an MCP server that provides chart generation and data visualization capabilities through a collection of visual chart implementations.

The tool solves the problem of integrating data visualization into language model workflows by exposing a library of chart types as callable skills. It wraps the AntV visualization library to enable LLM-based systems to generate charts programmatically. The approach works by implementing the Model Context Protocol, allowing language models to request chart generation as part of their reasoning and output processes. This bridges the gap between data analysis tasks performed by LLMs and the need to produce visual representations of results.

Developers should adopt this tool if they are building LLM applications that need to generate charts as part of their output or analysis pipeline. It suits projects where an AI system must visualize data insights, create reports with embedded charts, or provide visual analysis to end users. The tool is particularly relevant for teams already using the AntV ecosystem, as it leverages that library's chart implementations directly. The project is designed as an MCP server, making it compatible with any system that supports the Model Context Protocol standard.

The project shows consistent development activity with regular commits addressing bug fixes and feature improvements. The codebase maintains active engagement with pull requests being reviewed and merged to incorporate contributions. Documentation is kept current through updates to the README and related materials. The project demonstrates responsiveness to issues raised by users, with problems being identified and addressed in the development cycle.