mcp-server-chart vs user-feedback-mcp

Side-by-side comparison to help you pick between these two MCP servers.

	mcp-server-chart by antvis	user-feedback-mcp by mrexodia
Stars	★ 4,068	★ 53
30d uses	10,239	—
Score	84	36
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsProductivity
Language	TypeScript	Python
Last commit	this month	14 mo ago

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

user-feedback-mcp · Summary

A simple MCP server enabling human-in-the-loop workflows for AI development tools like Cline and Cursor.

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

user-feedback-mcp · Use cases

Testing desktop applications with complex UI interactions
Gathering human validation for automated code generation
Creating human-in-the-loop workflows for AI-assisted development

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

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

For Windows:

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

user-feedback-mcp · Install

Installation

Cline

Install [uv](https://github.com/astral-sh/uv) globally
Clone this repository
Navigate to Cline's MCP Servers configuration
Add the following to your cline_mcp_settings.json:

{
  "mcpServers": {
    "github.com/mrexodia/user-feedback-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "<path_to_repo>",
        "run",
        "server.py"
      ],
      "timeout": 600,
      "autoApprove": [
        "user_feedback"
      ]
    }
  }
}

Development

uv run fastmcp dev server.py

This opens a web interface at http://localhost:5173 for testing.

Comparison generated from public README + GitHub signals. Last updated automatically.