An MCP (Model Context Protocol) server for data transformation and BI charts will allow AI assistants to connect to your data sources, transform data, and generate high-quality visualizations through natural language requests.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add bi-chart -- python -m mcp_bi_visualizer.server~/.codex/config.toml
[mcp_servers.bi-chart]
command = "python"
args = ["-m", "mcp_bi_visualizer.server"]
# codex mcp add bi-chart -- python -m mcp_bi_visualizer.server~/.cursor/mcp.json
{
"mcpServers": {
"bi-chart": {
"command": "python",
"args": [
"-m",
"mcp_bi_visualizer.server"
]
}
}
}.vscode/mcp.json
{
"servers": {
"bi-chart": {
"type": "stdio",
"command": "python",
"args": [
"-m",
"mcp_bi_visualizer.server"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"bi-chart": {
"command": "python",
"args": [
"-m",
"mcp_bi_visualizer.server"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"bi-chart": {
"command": "python",
"args": [
"-m",
"mcp_bi_visualizer.server"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"bi-chart": {
"command": "python",
"args": [
"-m",
"mcp_bi_visualizer.server"
]
}
}
}