Korpora

Audit report

antvis/mcp-server-chart

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

Type: mcp · Audited 2026-05-22

95grade A
Fix in Claude

Top fixes

  • high

    Get the server into public MCP config files

    Get the server into public MCP config files. Few or none reference it today, and real adoption is the strongest trust signal an agent has.

Sub-scores

Discoverability

100 / 100
weight 15%

Agents can only recommend tools they can find. llms.txt and open robots.txt are the fastest wins.

Passing

  • Repository has a clear description (119)
  • Repository has topics/tags (6)
  • Identifiable as an MCP server
  • README opens with a one-line summary

Installation

100 / 100
weight 20%

Config-file appearances are the closest thing to a real install count for MCP servers.

Passing

  • README shows an MCP client config block
  • README has an install or run command
  • Ships a package manifest
  • Transport or configuration is documented

Tool definitions

100 / 100
weight 25%

Structured markup lets agents extract facts reliably instead of guessing from prose.

Passing

  • Ships a server.json manifest
  • README enumerates the tools
  • Tools are described, not just named
  • README shows usage examples

Documentation

100 / 100
weight 15%

Thin or poorly-described content gives agents nothing to summarise or cite.

Passing

  • Substantive README (1200+ chars) (14053)
  • README states what the server is for
  • README is organized into sections (14)
  • Versioned releases or a changelog

Trust & adoption

80 / 100
weight 25%

Models pattern-match provenance signals before recommending — missing basics trigger silent skips.

Missing

  • Appears in public MCP config files (0)

Passing

  • Open-source license (MIT)
  • Pushed in the last 90 days (16)
  • Multiple contributors (22)
  • 25+ GitHub stars (4084)
  • Has tests or CI
  • Has tagged releases (0.9.10)
  • Discussed on Hacker News or Reddit (4)

Generated llms.txt

Drop this at /llms.txt on your domain.

# AntV MCP Server Chart

> An MCP server implementation for creating and managing data visualizations using AntV charting libraries.

This project provides a Model Context Protocol (MCP) server that integrates AntV's charting capabilities into AI applications. It allows Claude and other AI agents to generate, modify, and manage interactive data visualizations programmatically through the MCP standard interface.

## Products
- MCP Server: A protocol server that exposes AntV charting functionality to AI agents
- Chart Generation: Ability to create various chart types (bar, line, pie, etc.) with AntV
- Data Integration: Support for connecting data sources to visualizations
- Interactive Configuration: Dynamic chart customization through MCP messages

## Documentation
- [GitHub Repository](https://github.com/antvis/mcp-server-chart): Source code, setup instructions, and implementation details
- [AntV Official Docs](https://antv.vision/): Reference for available chart types and configurations
- [MCP Protocol Specification](https://modelcontextprotocol.io/): Understanding the MCP interface this server implements

## Policies
- Open source project (check repository for specific license)
- Requires Node.js runtime for server operation
- MCP client compatibility depends on Claude version and AI platform support

Embed badge

Paste this into your README to display your live score.

Agent readiness badge
[![Agent Readiness](https://mcprank-green.vercel.app/api/badge/github.com-antvis-mcp-server-chart-a71043)](https://mcprank-green.vercel.app/r/github.com-antvis-mcp-server-chart-a71043)

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Discovery Report · free

The audit tells you whether agents CAN pick this server. Want to know whether they actually DO?

The Discovery Report measures which queries agents route to this server vs its rivals across multiple AI model families. It picks the one intent where you have the most leverage and gives you a concrete change to ship this week. Free.