The mcp vegalite server exposes a Vega-Lite visualization API for AI agents. It provides tools to create, customize, and render interactive data visualizations using Vega-Lite syntax. The server connects to Vega-Lite's rendering engine and integrates with data sources compatible with Vega-Lite. Developers use it to generate dynamic charts, graphs, and dashboards from data analysis pipelines or AI-driven insights.
The mcp vegalite server exposes a Vega-Lite visualization API for AI agents. It provides tools to create, customize, and render interactive data visualizations using Vega-Lite syntax. The server connects to Vega-Lite's rendering engine and integrates with data sources compatible with Vega-Lite. Developers use it to generate dynamic charts, graphs, and dashboards from data analysis pipelines or AI-driven insights.
pip install mcp-vegalite-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"isaacwasserman-mcp-vegalite-server-github": {
"command": "uvx",
"args": [
"pip install mcp-vegalite-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp vegalite server?"
No configuration required. This server works out of the box.
"What resources are available in mcp vegalite server?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp vegalite server"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp vegalite server with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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