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MCP verified MIT Self-run

Mcp Cyberbro

mcp-stanfrbd-mcp-cyberbro · by stanfrbd

Using MCP is fun with Cyberbro!

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Install

$ agentstack add mcp-stanfrbd-mcp-cyberbro

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ● Environment & secrets Used
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-stanfrbd-mcp-cyberbro)

Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

[](https://mseep.ai/app/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 force stdio transport:

docker run -i --rm \
  -e CYBERBRO_URL=http://host.docker.internal:5000 \
  ghcr.io/stanfrbd/mcp-cyberbro:latest \
  --transport 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
  • MCP_MOUNT_PATH
  • MCP_SSE_PATH
  • MCP_STREAMABLE_HTTP_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"
      }
    }
  }
}

Example with Docker + stdio:

{
  "mcpServers": {
    "cyberbro": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CYBERBRO_URL",
        "ghcr.io/stanfrbd/mcp-cyberbro:latest",
        "--transport",
        "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
  • is_analysis_complete
  • get_analysis_results
  • get_engines
  • get_web_url

Example Prompts

Here are practical prompt examples you can use with any MCP-capable assistant connected to Cyberbro.

Getting Indicator Details

  • Cyberbro: Check indicators for target.com
  • Can you check this IP reputation with Cyberbro? 192.168.1.1. Use github, google and virustotal engines.
  • I want to analyze the domain example.com. What can Cyberbro tell me about it? Use max 3 engines.
  • Analyze these observables with Cyberbro: suspicious-domain.com, 8.8.8.8, and 44d88612fea8a8f36de82e1278abb02f. Use all available engines.

Observable Analysis

  • I found this (hash|domain|url|ip|extension). Can you submit it for analysis to Cyberbro and analyze the results?

OSINT Investigation

  • Create an OSINT report for the domain example.com using Cyberbro. Use all available engines and pivot on the results for more information. Use a maximum of 10 analysis requests.

Acknowledgements

License

MIT

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.