mcp-server-chart vs adk-python-mcp-client
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | adk-python-mcp-client by arjunprabhulal | |
|---|---|---|
| Stars | ★ 4,068 | ★ 34 |
| 30d uses | 10,239 | — |
| Score | 84 | 38 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | AI / LLM ToolsDeveloper ToolsCommunication |
| Language | TypeScript | Python |
| Last commit | this month | 12 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
adk-python-mcp-client · Summary
Python implementation of ADK as an MCP client for flight search with Gemini 2 LLM.
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
adk-python-mcp-client · Use cases
- Building flight search assistants using Google's Gemini model
- Implementing MCP client with ADK for external API integration
- Creating stateful AI agents with dynamic tool discovery
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"]
}
}
}adk-python-mcp-client · Install
Installation
- Clone the repository:
git clone https://github.com/arjunprabhulal/adk-python-mcp-client.git
cd adk-python-mcp-client- Set up environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt- Configure environment variables:
cp .env.example .env
# Edit .env with your API keys- Run the client:
python client.pyClaude Desktop configuration (if applicable):
{
"mcpServers": {
"adk-python-mcp": {
"command": "python",
"args": ["path/to/client.py"]
}
}
}