AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
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 neo-ai-ml-engineering --env NEO_SECRET_KEY='<NEO_SECRET_KEY>' --env NEO_WORKSPACE_DIR='<NEO_WORKSPACE_DIR>' -- uvx neo-mcp~/.codex/config.toml
[mcp_servers.neo-ai-ml-engineering]
command = "uvx"
args = ["neo-mcp"]
env = { NEO_SECRET_KEY = "<NEO_SECRET_KEY>", NEO_WORKSPACE_DIR = "<NEO_WORKSPACE_DIR>" }
# codex mcp add neo-ai-ml-engineering --env NEO_SECRET_KEY='<NEO_SECRET_KEY>' --env NEO_WORKSPACE_DIR='<NEO_WORKSPACE_DIR>' -- uvx neo-mcp~/.cursor/mcp.json
{
"mcpServers": {
"neo-ai-ml-engineering": {
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
"NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"neo-ai-ml-engineering": {
"type": "stdio",
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
"NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"neo-ai-ml-engineering": {
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
"NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"neo-ai-ml-engineering": {
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
"NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"neo-ai-ml-engineering": {
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<NEO_SECRET_KEY>",
"NEO_WORKSPACE_DIR": "<NEO_WORKSPACE_DIR>"
}
}
}
}需要的环境变量
NEO_SECRET_KEYNEO_WORKSPACE_DIR
把占位值换成你自己的密钥；不要把密钥提交到代码仓库。