AgentUp vs mcp-server-chart
Side-by-side comparison to help you pick between these two MCP servers.
AgentUp by always-further | mcp-server-chart by antvis | |
|---|---|---|
| Stars | ★ 116 | ★ 4,068 |
| 30d uses | — | 10,239 |
| Score | 47 | 84 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsOps & Infra | AI / LLM ToolsDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
AgentUp · Summary
AgentUp is a Python-based AI agent framework with built-in MCP support for secure, portable agent deployment.
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
AgentUp · Use cases
- Enterprise AI applications with security requirements and need for deterministic behavior
- Multi-agent systems requiring secure inter-agent communication and orchestration
- Development teams needing to share and reproduce agent environments across different stages
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
AgentUp · Install
Installation
Install AgentUp using pip:
pip install agentupCreate Your First Agent
agentup initStart Your Agent
agentup runMCP Configuration
AgentUp includes built-in support for Model Context Protocol (MCP) with full support for STDIO, SSE and Streamable HTTP. Configure MCP by adding the configuration in your agent setup, similar to how you would for Claude, Cursor or VSCode.
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"]
}
}
}