mcp-server-chart vs mlb-mcp
Side-by-side comparison to help you pick between these two MCP servers.
mcp-server-chart by antvis | mlb-mcp by etweisberg | |
|---|---|---|
| Stars | ★ 4,068 | ★ 25 |
| 30d uses | 10,239 | — |
| Score | 84 | 44 |
| Official | — | — |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | OtherAI / LLM Tools |
| Language | TypeScript | Python |
| Last commit | this month | 2 mo ago |
mcp-server-chart · Summary
A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.
mlb-mcp · Summary
Python MCP server for MLB baseball analytics with API access to statcast, fangraphs, and baseball reference data.
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
mlb-mcp · Use cases
- Baseball analysts can retrieve player statistics and game performance data using MCP tools
- Sports journalists can generate baseball visualizations and statistics reports programmatically
- Fantasy baseball enthusiasts can access up-to-date player data for roster decisions
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"]
}
}
}mlb-mcp · Install
Installation
- Install uv if you haven't already:
curl -LsSf https://astral.sh/uv/install.sh | sh- Create and activate a virtual environment:
uv venv
source .venv/bin/activate # On Unix/macOS
# or
.venv\Scripts\activate # On Windows- Install dependencies:
uv pip install -e .Claude Desktop Integration
To connect this MCP server to Claude Desktop, add a configuration to your claude_desktop_config.json file:
"mcp-baseball-stats": {
"command": "{PATH_TO_UV}",
"args": [
"--directory",
"{PROJECT_DIRECTORY}",
"run",
"python",
"-m",
"mlb_stats_mcp.server"
],
"env": {
"MLB_STATS_LOG_FILE": "{LOG_FILE_PATH}",
"MLB_STATS_LOG_LEVEL": "DEBUG"
}
}