MCP MeasureMCP Measure

index observed

Twitter Agent by Nova (CIVAI)

I do everything related to Twitter posting and campaigns

Should I use this

Quality & Safety

A
Description quality
93%
Schema completeness
90%
Naming quality
70%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • LOWTool 'twitter__converse' description lacks action verbin twitter__converse
  • LOWTool 'twitter__generate_and_execute_code' name length outside 3-30 rangein twitter__generate_and_execute_code
  • LOWTool 'twitter__debug_update_existing_code' name length outside 3-30 rangein twitter__debug_update_existing_code

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~211Tokens (tool definitions)
~344 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": {
    "twitter-agent": {
      "url": "https://nova.civai.co/mcp/agents/twitter-agent"
    }
  }
}

Remote endpoints

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

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪twitter__generate_code_only(detail)

Code interpreter (runner operator): generate code only

Input Schema

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Specific parameters for this action."
    }
  }
}
⚪twitter__generate_and_execute_code(detail)

Code interpreter (runner operator): generate and execute code

Input Schema

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Specific parameters for this action."
    }
  }
}
🟡twitter__debug_update_existing_code(detail)

Code interpreter (runner operator): debug update existing code

Input Schema

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Specific parameters for this action."
    }
  }
}
⚪twitter__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

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Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools