# BlackDome MCP Server

> BlackDome MCP Server — blackdome-ai-blackdome-mcp. Use this tool when you need to enhance your AI agents' threat detection capabilities with live honeypot intelligence. It provides access to attacker IPs, indicators of compromise, captured credentials, and malware payloads, allowing for real-time threat actor profiling and global attack mapping. Ideal for use cases requiring direct integration with MCP-compatible clients, such as Claude or Cursor, for streamlined threat intelligence analysis.

Canonical page: https://skillsregistry.net/skills/blackdome-ai-blackdome-mcp  
JSON: https://api.skillsregistry.net/v1/skills/blackdome-ai-blackdome-mcp

## Description

Give your AI agents direct access to live honeypot threat intelligence. Look up attacker IPs, browse indicators of compromise (IOCs), inspect captured credentials and malware payloads, profile threat actors, and render a real-time global attack map — all from Claude, Cursor, or any MCP-compatible client.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zv958dwi49)
- **Repository:** <https://github.com/blackdome-ai/blackdome-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": "blackdome-ai-blackdome-mcp"
    }
  }
}
```

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