Self-hosted server that connects agents to a SAS Viya environment to run SAS code, train AutoML projects and manage models and scoring.
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 sas-viya --env VIYA_ENDPOINT='<VIYA_ENDPOINT>' -- docker run -i --rm -e VIYA_ENDPOINT ghcr.io/sassoftware/sas-mcp-server:1.18.0~/.codex/config.toml
[mcp_servers.sas-viya]
command = "docker"
args = ["run", "-i", "--rm", "-e", "VIYA_ENDPOINT", "ghcr.io/sassoftware/sas-mcp-server:1.18.0"]
env = { VIYA_ENDPOINT = "<VIYA_ENDPOINT>" }
# codex mcp add sas-viya --env VIYA_ENDPOINT='<VIYA_ENDPOINT>' -- docker run -i --rm -e VIYA_ENDPOINT ghcr.io/sassoftware/sas-mcp-server:1.18.0~/.cursor/mcp.json
{
"mcpServers": {
"sas-viya": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"ghcr.io/sassoftware/sas-mcp-server:1.18.0"
],
"env": {
"VIYA_ENDPOINT": "<VIYA_ENDPOINT>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"sas-viya": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"ghcr.io/sassoftware/sas-mcp-server:1.18.0"
],
"env": {
"VIYA_ENDPOINT": "<VIYA_ENDPOINT>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"sas-viya": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"ghcr.io/sassoftware/sas-mcp-server:1.18.0"
],
"env": {
"VIYA_ENDPOINT": "<VIYA_ENDPOINT>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"sas-viya": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"ghcr.io/sassoftware/sas-mcp-server:1.18.0"
],
"env": {
"VIYA_ENDPOINT": "<VIYA_ENDPOINT>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"sas-viya": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"VIYA_ENDPOINT",
"ghcr.io/sassoftware/sas-mcp-server:1.18.0"
],
"env": {
"VIYA_ENDPOINT": "<VIYA_ENDPOINT>"
}
}
}
}需要的环境变量
VIYA_ENDPOINT
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。