# Bravos AI

> Bravos AI — com-bravos-ai-bravos. Use this tool when you need to manage and optimize your AI chatbot's performance, analyze conversations, and audit content to ensure accuracy and effectiveness. It solves problems related to chatbot configuration, content quality, and conversation analysis, providing valuable insights to improve user experience. With inputs such as conversation data and outputs like performance metrics and configuration updates, Bravos AI streamlines chatbot management.

Canonical page: https://skillsregistry.net/skills/com-bravos-ai-bravos  
JSON: https://api.skillsregistry.net/v1/skills/com-bravos-ai-bravos

## Description

Manage your AI chatbot from your AI assistant: analyze conversations, audit content, configure it.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.bravos-ai%2Fbravos)

## Use it

MCP endpoint published by the skill: `https://mcp.bravos-ai.com/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-bravos-ai-bravos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-bravos-ai-bravos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-bravos-ai-bravos/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt