MCP server for background tasks — let AI agents start long jobs, keep working, and collect results later
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 backburner -- uvx backburner-mcp~/.codex/config.toml
[mcp_servers.backburner]
command = "uvx"
args = ["backburner-mcp"]
# codex mcp add backburner -- uvx backburner-mcp~/.cursor/mcp.json
{
"mcpServers": {
"backburner": {
"command": "uvx",
"args": [
"backburner-mcp"
]
}
}
}.vscode/mcp.json
{
"servers": {
"backburner": {
"type": "stdio",
"command": "uvx",
"args": [
"backburner-mcp"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"backburner": {
"command": "uvx",
"args": [
"backburner-mcp"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"backburner": {
"command": "uvx",
"args": [
"backburner-mcp"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"backburner": {
"command": "uvx",
"args": [
"backburner-mcp"
]
}
}
}