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 uses | 10,239 | — |
| Score | 84 | 37 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsProductivity |
| 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.
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-chartFor 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 jikiSet 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