OpenClaw Agent by Nova (CIVAI)
I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she…
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (5)
- LOWTool 'openclaw__converse' description lacks action verbin openclaw__converse
- LOWTool 'openclaw__telegram-pairing-approval' doesn't follow camelCase/snake_casein openclaw__telegram-pairing-approval
- LOWTool 'openclaw__telegram-pairing-approval' name length outside 3-30 rangein openclaw__telegram-pairing-approval
- LOWTool 'openclaw__add-telegram-channel-using-token' doesn't follow camelCase/snake_casein openclaw__add-telegram-channel-using-token
- LOWTool 'openclaw__add-telegram-channel-using-token' name length outside 3-30 rangein openclaw__add-telegram-channel-using-token
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"openclaw-agent": {
"url": "https://nova.civai.co/mcp/agents/openclaw-agent"
}
}
}Remote-Endpunkte
https://nova.civai.co/mcp/agents/openclaw-agentstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟡openclaw__forward(instruction)
Send instruction through OpenClaw bridge and return history.
Eingabe-Schema
{
"type": "object",
"properties": {
"instruction": {
"type": "string"
}
},
"required": [
"instruction"
]
}⚪openclaw__telegram-pairing-approval(pairing_id, telegram_user_id)
Approve Telegram pairing via OpenClaw shell script.
Eingabe-Schema
{
"type": "object",
"properties": {
"pairing_id": {
"type": "string"
},
"telegram_user_id": {
"type": "string"
}
}
}🟡openclaw__add-telegram-channel-using-token(token)
Add Telegram channel to OpenClaw using bot token.
Eingabe-Schema
{
"type": "object",
"properties": {
"token": {
"type": "string"
}
}
}⚪openclaw__converse(reply_hint)
Reply conversationally when the request is ambiguous or needs clarification.
Eingabe-Schema
{
"type": "object",
"properties": {
"reply_hint": {
"type": "string",
"description": "Optional hint for the conversational reply."
}
}
}Community
Nachweis