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mcp-server-chart vs jiki

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

mcp-server-chart
by antvis
jiki
by teilomillet
Stars★ 4,068★ 17
30d uses10,239
Score8437
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
AI / LLM ToolsDeveloper ToolsProductivity
LanguageTypeScriptPython
Last committhis month13 mo ago

mcp-server-chart · Summary

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

jiki · Summary

Jiki is a Python framework that connects LLMs to external tools via MCP, offering both orchestration and client capabilities.

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

jiki · Use cases

  • Building tool-augmented LLM applications with calculator or other custom tools
  • Creating interactive chat interfaces that can call external APIs via MCP
  • Integrating LLM capabilities with existing systems through standardized protocol

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"]
    }
  }
}

jiki · Install

Installation

Install the jiki package using your preferred package manager:

# Using pip
pip install jiki

# Or using uv (recommended for faster installation)
uv add jiki

Set Up API Key

Jiki uses [LiteLLM](https://litellm.ai/) internally, allowing it to work with a wide range of LLM providers (OpenAI, Anthropic, Gemini, etc.). You need to set the appropriate environment variable for your chosen provider.

# Example for Anthropic Claude (often used as default)
export ANTHROPIC_API_KEY=your_key_here

# Example for OpenAI
# export OPENAI_API_KEY=your_key_here
Comparison generated from public README + GitHub signals. Last updated automatically.