MCP MeasureMCP Measure

index observed

OpenClaw Agent by Nova (CIVAI)

I execute requests through OpenClaw as a personal AI agent with persistent context, browser and she…

Should I use this

Quality & Safety

B
Description quality
88%
Schema completeness
78%
Naming quality
75%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (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

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~210Tokens (tool definitions)
~279 BTypical response size
Minimal attention impact (0.16% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "openclaw-agent": {
      "url": "https://nova.civai.co/mcp/agents/openclaw-agent"
    }
  }
}

Remote endpoints

https://nova.civai.co/mcp/agents/openclaw-agentstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡openclaw__forward(instruction)

Send instruction through OpenClaw bridge and return history.

Input 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.

Input 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.

Input Schema

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    }
  }
}
⚪openclaw__converse(reply_hint)

Reply conversationally when the request is ambiguous or needs clarification.

Input Schema

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools