# MCP_NebulaFinger

> MCP_NebulaFinger — drblack000-mcp-nebulafinger. Use this tool when you need to identify web and service fingerprints, enabling AI agents to recognize and analyze online services and web applications. It solves problems related to service discovery, vulnerability assessment, and web application analysis. The tool takes in network traffic or web requests as input and outputs identified fingerprints, suitable for use cases such as security audits and service monitoring.

Canonical page: https://skillsregistry.net/skills/drblack000-mcp-nebulafinger  
JSON: https://api.skillsregistry.net/v1/skills/drblack000-mcp-nebulafinger

## Description

MCP_NebulaFinger使AI具有WEB和服务指纹识别能力

## Trust

- **Trust score (0–1):** 0.89
- **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/Drblack000/MCP_NebulaFinger)

## 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": "drblack000-mcp-nebulafinger"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/drblack000-mcp-nebulafinger` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/drblack000-mcp-nebulafinger/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