mcp-server-chart vs apifox-mcp

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

	mcp-server-chart by antvis	apifox-mcp by iwen-conf
Stars	★ 4,068	★ 33
30d uses	10,239	—
Score	84	43
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsProductivity
Language	TypeScript	Python
Last commit	this month	5 mo ago

mcp-server-chart · Summary

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

apifox-mcp · Summary

MCP server enabling AI assistants to manage Apifox API projects through natural language commands.

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

apifox-mcp · Use cases

Automate API documentation updates in Apifox through AI assistant commands
Audit API response schemas and completeness in bulk
Create new API endpoints directly via conversational AI interface

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"]
    }
  }
}

apifox-mcp · Install

Installation

**Clone the repository**

``bash git clone <repository_url> cd <repository_name> ``

**Create and activate virtual environment (optional but recommended)**

``bash uv venv # Activate virtual environment # Windows .venv\Scripts\activate # macOS/Linux source .venv/bin/activate ``

**Install dependencies**

```bash # Using uv (recommended for local development) uv sync

# Using pip (traditional way) pip install mcp[cli] requests ```

**Configure environment variables**

``bash export APIFOX_TOKEN="your_token_here" export APIFOX_PROJECT_ID="your_project_id_here" ``

**Run the MCP server**

``bash uv run python -m apifox_mcp.main # or python -m apifox_mcp.main ``

**Configure Claude Desktop**

Add to your claude_desktop_config.json: ``json { "mcpServers": { "apifox": { "command": "uv", "args": [ "run", "--directory", "/path/to/apifox-mcp", "python", "-m", "apifox_mcp.main" ], "env": { "APIFOX_TOKEN": "your_token_here", "APIFOX_PROJECT_ID": "your_project_id_here" } } } } ``

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