mcp-server-chart vs mcp-bear

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

	mcp-server-chart by antvis	mcp-bear by jkawamoto
Stars	★ 4,068	★ 70
30d uses	10,239	—
Score	84	46
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Productivitynote-takingOther
Language	TypeScript	Python
Last commit	this month	3 mo ago

mcp-server-chart · Summary

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

mcp-bear · Summary

MCP server for Bear note-taking app with multiple client support and good documentation.

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

mcp-bear · Use cases

Automating note creation and organization between Bear and AI assistants
Integrating Bear notes into AI workflows for enhanced content processing
Managing Bear tags and notes programmatically through MCP clients

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"]
    }
  }
}

mcp-bear · Install

Installation

Install uv on your system

Set the BEAR_API_TOKEN environment variable to your API token

Configure in your MCP client:

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "bear": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/jkawamoto/mcp-bear",
        "mcp-bear",
        "--token",
        "<YOUR_TOKEN>"
      ]
    }
  }
}

Goose

Add to ~/.config/goose/config.yaml:

extensions:
  bear:
    name: Bear
    cmd: uvx
    args: [--from, git+https://github.com/jkawamoto/mcp-bear, mcp-bear]
    envs: { "BEAR_API_TOKEN": "<YOUR_TOKEN>" }
    enabled: true
    type: stdio

LM Studio

Click the install button from the repository page or manually configure.

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