Cyberbro MCP Server

<!-- mcp-server: cyberbro | tools: 5 | resources: 0 | transport: stdio,sse,streamable-http | auth: none | framework: fastmcp --> <!-- mcp-name: io.github.stanfrbd/mcp-cyberbro -->

Cyberbro MCP Server

Extract IoCs from messy text and analyze them with Cyberbro. 🌐 demo.cyberbro.net

Model Context Protocol server for Cyberbro.

This project is packaged as a standard Python distribution and can be launched with:

• uvx mcp-cyberbro
• pip install mcp-cyberbro then mcp-cyberbro

Why this server

• Analyze observables (IP, domain, URL, hash, etc.) via Cyberbro engines.
• Integrate threat-analysis actions directly in MCP-capable assistants.
• Run with stdio, sse, or streamable-http transports.
• Compatible with any MCP client that supports one of these transports.

Installation

Use with uvx (standalone)

uvx mcp-cyberbro --cyberbro_url http://localhost:5000

Use with pip

pip install mcp-cyberbro
mcp-cyberbro --cyberbro_url http://localhost:5000

Local development

pip install -e .
mcp-cyberbro --cyberbro_url http://localhost:5000

Docker

Default container command starts in streamable-http mode on port 8000.

docker run --rm -p 8000:8000 \
  -e CYBERBRO_URL=http://host.docker.internal:5000 \
  ghcr.io/stanfrbd/mcp-cyberbro:latest

To run in stdio mode, a custom Dockerfile is required:

FROM ghcr.io/stanfrbd/mcp-cyberbro:latest
CMD ["mcp-cyberbro", "--transport", "stdio"]

Build and use it:

docker build -t mcp-cyberbro-stdio .
docker run -i --rm -e CYBERBRO_URL=http://host.docker.internal:5000 mcp-cyberbro-stdio

Configuration

Copy .env.example and set at least:

• CYBERBRO_URL (required)

Supported environment variables:

• CYBERBRO_URL
• API_PREFIX (default: api)
• SSL_VERIFY (true/false)
• MCP_TRANSPORT (stdio, sse, streamable-http)
• MCP_HOST
• MCP_PORT
• MCPMOUNTPATH
• MCPSSEPATH
• MCPSTREAMABLEHTTP_PATH

CLI flags are also available and override env values.

MCP Client Integration

You can use this server with Claude Desktop, Claude Code, Cursor, OpenAI-compatible MCP clients, or any other MCP client.

Example config using uvx:

{
  "mcpServers": {
    "cyberbro": {
      "command": "uvx",
      "args": ["mcp-cyberbro"],
      "env": {
        "CYBERBRO_URL": "http://localhost:5000"
      }
    }
  }
}

To use Docker with stdio transport (required by some MCP clients), build a custom image as shown in the Docker section above, then reference it:

{
  "mcpServers": {
    "cyberbro": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "-e", "CYBERBRO_URL", "mcp-cyberbro-stdio"],
      "env": {
        "CYBERBRO_URL": "http://localhost:5000"
      }
    }
  }
}

Usage in VSCode - Example

Create .vscode/mcp.json

{
	"servers": {
		"mcp-cyberbro": {
			"type": "stdio",
			"command": "uvx",
			"args": [
				"mcp-cyberbro"
			],
			"env": {
				"CYBERBRO_URL": "http://127.0.0.1:5000"
			}
		}
	}
}

MCP Registry Metadata

server.json is included for MCP Registry publication and points to PyPI package mcp-cyberbro.

Release Pipelines

Release-created workflows:

• .github/workflows/publish-test-pypi.yml
• .github/workflows/publish-pypi.yml
• .github/workflows/publish-mcp-plugin.yml

Available Tools

• analyze_observable
• isanalysiscomplete
• getanalysisresults
• get_engines
• getweburl

Shortened. The full README is on GitHub.