Backend integration layer that connects your Metabase instance with AI assistants using the Model Context Protocol (MCP)
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add metabase-server-cw-codewalnut -- uv venv .venv~/.codex/config.toml
[mcp_servers.metabase-server-cw-codewalnut]
command = "uv"
args = ["venv", ".venv"]
# codex mcp add metabase-server-cw-codewalnut -- uv venv .venv~/.cursor/mcp.json
{
"mcpServers": {
"metabase-server-cw-codewalnut": {
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}.vscode/mcp.json
{
"servers": {
"metabase-server-cw-codewalnut": {
"type": "stdio",
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"metabase-server-cw-codewalnut": {
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"metabase-server-cw-codewalnut": {
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"metabase-server-cw-codewalnut": {
"command": "uv",
"args": [
"venv",
".venv"
]
}
}
}