Durable, user-controlled goals and governed plans for AI agents.
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 --transport http toreva-goals 'https://gateway.toreva.com/mcp?surface=goals'~/.codex/config.toml
[mcp_servers.toreva-goals]
url = "https://gateway.toreva.com/mcp?surface=goals"
# codex mcp add toreva-goals --url 'https://gateway.toreva.com/mcp?surface=goals'~/.cursor/mcp.json
{
"mcpServers": {
"toreva-goals": {
"url": "https://gateway.toreva.com/mcp?surface=goals"
}
}
}.vscode/mcp.json
{
"servers": {
"toreva-goals": {
"type": "http",
"url": "https://gateway.toreva.com/mcp?surface=goals"
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"toreva-goals": {
"httpUrl": "https://gateway.toreva.com/mcp?surface=goals"
}
}
}claude_desktop_config.json · Customize › Connectors › Add custom connector
{
"mcpServers": {
"toreva-goals": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://gateway.toreva.com/mcp?surface=goals"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"toreva-goals": {
"url": "https://gateway.toreva.com/mcp?surface=goals"
}
}
}