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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 cloudeval-ai --env CLOUDEVAL_ACCESS_KEY='<CLOUDEVAL_ACCESS_KEY>' -- npx -y @ganakailabs/cloudeval-cli~/.codex/config.toml
[mcp_servers.cloudeval-ai]
command = "npx"
args = ["-y", "@ganakailabs/cloudeval-cli"]
env = { CLOUDEVAL_ACCESS_KEY = "<CLOUDEVAL_ACCESS_KEY>" }
# codex mcp add cloudeval-ai --env CLOUDEVAL_ACCESS_KEY='<CLOUDEVAL_ACCESS_KEY>' -- npx -y @ganakailabs/cloudeval-cli~/.cursor/mcp.json
{
"mcpServers": {
"cloudeval-ai": {
"command": "npx",
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"env": {
"CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"cloudeval-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"env": {
"CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"cloudeval-ai": {
"command": "npx",
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"env": {
"CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"cloudeval-ai": {
"command": "npx",
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"env": {
"CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"cloudeval-ai": {
"command": "npx",
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"env": {
"CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
}
}
}
}需要的环境变量
CLOUDEVAL_ACCESS_KEY
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。