# binoculo-mcp

> binoculo-mcp — girorme-binoculo-mcp. Use this tool when you need to perform banner grabbing and analyze server responses using Large Language Models (LLM) on an MCP Server. It solves problems related to network reconnaissance and server identification, providing valuable insights into server configurations. The tool takes network inputs and outputs analyzed banner information, making it ideal for use cases involving server discovery and vulnerability assessment.

Canonical page: https://skillsregistry.net/skills/girorme-binoculo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/girorme-binoculo-mcp

## Description

Banner grabbing with LLM (MCP Server)

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/girorme/binoculo-mcp)

## Use it

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": "girorme-binoculo-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/girorme-binoculo-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/girorme-binoculo-mcp/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