# mcp_zoomeye

> Use this tool when you need to leverage the power of ZoomEye, a cyber security search engine, to gather information on networks, devices, and web applications. It solves problems related to network reconnaissance, vulnerability assessment, and threat intelligence by providing valuable insights into potential security risks. With git capabilities, it integrates seamlessly into development workflows, accepting queries as input and outputting relevant security data.

Canonical page: https://skillsregistry.net/skills/pbuff07-mcp-zoomeye  
JSON: https://api.skillsregistry.net/v1/skills/pbuff07-mcp-zoomeye

## 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:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/pbuff07/mcp_zoomeye)

## 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": "pbuff07-mcp-zoomeye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pbuff07-mcp-zoomeye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pbuff07-mcp-zoomeye/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