mcp-server-chart vs python-mcp-server-client

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

	mcp-server-chart by antvis	python-mcp-server-client by GobinFan
Stars	★ 4,068	★ 155
30d uses	10,239	—
Score	84	39
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	AI / LLM ToolsDeveloper ToolsKnowledge Graph
Language	TypeScript	Python
Last commit	this month	13 mo ago

mcp-server-chart · Summary

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

python-mcp-server-client · Summary

A MCP server for querying technical documentation of major AI agent frameworks like LangChain and LlamaIndex.

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

python-mcp-server-client · Use cases

Retrieve documentation for specific framework features
Search across multiple AI frameworks simultaneously
Integrate technical documentation into AI agents for accurate responses

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"]
    }
  }
}

python-mcp-server-client · Install

Installation

Install UV package manager:

# MacOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Initialize project:

uv init mcp-server
cd mcp-server
uv venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
uv add "mcp[cli]" httpx

Configure Claude Desktop:

{
  "mcpServers": {
    "docs-server": {
      "command": "uv",
      "args": [
        "--directory",
        "<your-project-path>",
        "run",
        "main.py"
      ]
    }
  }
}

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