MCP Cyberbro MCP Server

<b><i>Extract IoCs from messy text and analyze them with Cyberbro.</i></b>

Local serverstdioPython

What is the MCP Cyberbro MCP server?

If you already use MCP Cyberbro, the mcp cyberbro mcp server is the piece that lets your assistant work with it directly. Extract IoCs from messy text and analyze them with Cyberbro..

What the server does

  • 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

The server ships on PyPI as mcp-cyberbro, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • analyze_observable — is_analysis_complete
  • get_analysis_results — get_engines

Credentials and setup notes

Configuration is passed through the environment: CYBERBRO_URL, MCP_MOUNT_PATH, MCP_SSE_PATH, MCP_STREAMABLE_HTTP_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Worth knowing first

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Cyberbro's toolset — analyze_observable, get_analysis_results — is a fair guide to whether it matches your workflow. It is maintained by stanfrbd; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP Cyberbro's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
analyze_observableis_analysis_complete
get_analysis_resultsget_engines

How to install the MCP Cyberbro MCP server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
CYBERBRO_URLEndpoint or connection string the server talks to.Yes
MCP_MOUNT_PATHFilesystem location the server is allowed to use.Optional
MCP_SSE_PATHFilesystem location the server is allowed to use.Optional
MCP_STREAMABLE_HTTP_PATHFilesystem location the server is allowed to use.Optional

Example prompts to try

  • Use MCP Cyberbro to analyze observable.
  • Use MCP Cyberbro to get analysis results.

Frequently asked questions

It connects MCP Cyberbro to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (analyze_observable, get_analysis_results) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Cyberbro directly.