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ThreatByte-MCP

ThreatByte-MCP is a deliberately vulnerable, MCP-based case management web app. It mirrors a realistic SOC analyst workflow with a server-rendered UI and a real MCP server. The MCP tools are intentionally vulnerable for training and demonstration.

For educational use in controlled environments only.

Features

  • Safe web authentication (signup/login/logout)

  • Case management UI (create/list/view cases)

  • Notes and attachments tied to cases

  • Indicator search and agent workflows via MCP tools

  • Agent customization with schema-based tool registry

MCP Server (SDK, JSON-RPC)

ThreatByte-MCP is a split architecture:

  • SOC Web App (client/UI) runs on port 5001.

  • MCP Server (tools + agent) runs on port 5002 using the official MCP Python SDK (FastMCP).

The MCP server exposes JSON-RPC at POST http://localhost:5002/mcp (Streamable HTTP). The web UI calls the MCP server through a server-side proxy to keep auth consistent with the SOC session; the proxy streams agent responses to the browser via SSE. A sample mcp.json manifest is included at the repo root. All direct MCP calls must include MCP-Protocol-Version: 2025-11-25 and Accept: application/json, text/event-stream.

Architecture (simplified):

Browser | v +------------------+ X-TBMCP-Token + X-TBMCP-User +-------------------+ | SOC Web App | ---------------------------------------> | MCP Server | | (Flask, :5001) | /mcp-proxy (server-side) | (FastMCP, :5002) | +------------------+ +-------------------+ | | v v SQLite DB Tool registry Agent + tool handlers

Architecture (detailed):

Browser (Analyst) | v SOC Web App (Flask, :5001) | - Auth session (cookie) | - Dashboards, cases, notes, files UI | - /mcp-proxy forwards JSON-RPC | +--> SQLite DB | - users, cases, notes, files, indicators | +--> Uploads (app/uploads) | v MCP Server (FastMCP, :5002) | - /mcp JSON-RPC (Streamable HTTP) | - X-TBMCP-Token + X-TBMCP-User headers | +--> Tool registry (mcp_tools) | - schema-based tools (poisonable) | +--> Agent runtime | - prompt builder (hardcoded tokens) | - LLM API call | +--> Persistence - agent_contexts (prompt store) - agent_logs (full request/response)

MCP Auth Between Web App and MCP Server

The web app proxies MCP calls with these headers:

  • X-TBMCP-Token: shared secret from TBMCP_MCP_SERVER_TOKEN (configured on both servers).

  • X-TBMCP-User: current user id from the authenticated SOC session.

Direct MCP calls require the same headers.

Supported tools:

  • cases.create

  • cases.list

  • cases.list_all

  • cases.get

  • cases.rename

  • cases.set_status

  • cases.delete

  • notes.create

  • notes.list

  • notes.update

  • notes.delete

  • files.upload (base64)

  • files.list

  • files.get (base64)

  • files.read_path

  • indicators.search

  • agent.summarize_case

  • agent.run_task

  • tools.registry.list

  • tools.builtin.list

  • tools.registry.register

  • tools.registry.delete

Vulnerability Themes (Training-Focused)

The following weaknesses are intentionally present for teaching:

  • Broken object level authorization (cases/notes/files, list_all)

  • Stored XSS (notes rendered as trusted HTML)

  • SQL injection in indicator search

  • Prompt injection in agent task runner

  • Token mismanagement & secret exposure (hardcoded tokens in prompts, persisted contexts, full logs)

  • Tool poisoning via schema-driven tool registry overrides (MCP03)

  • Over-trusting client context (MCP header identity spoofing)

  • Arbitrary file read via files.read_path

  • Cross-user file overwrite (shared filename namespace)

Running Locally

cd ThreatByte-MCP python -m venv venv_threatbyte_mcp source venv_threatbyte_mcp/bin/activate pip install -r requirements.txt python db/create_db_tables.py python run_mcp_server.py python run.py

Open: http://localhost:5001

MCP Server: http://localhost:5002/mcp

Running with Docker or Podman

The repository includes a Dockerfile and startup script that initialize the DB and run both services in one container:

  • SOC Web App on :5001

  • MCP Server on :5002

Build the image:

# Docker docker build -t threatbyte-mcp . # Podman podman build -t threatbyte-mcp .

Run the container:

# Docker docker run --rm -p 5001:5001 -p 5002:5002 threatbyte-mcp # Podman podman run --rm -p 5001:5001 -p 5002:5002 threatbyte-mcp

Run with optional environment variables:

# Docker docker run --rm -p 5001:5001 -p 5002:5002 \ -e TBMCP_MCP_SERVER_TOKEN=tbmcp-mcp-token \ -e OPENAI_API_KEY=your_api_key \ -e TBMCP_OPENAI_MODEL=gpt-4o-mini \ threatbyte-mcp # Podman podman run --rm -p 5001:5001 -p 5002:5002 \ -e TBMCP_MCP_SERVER_TOKEN=tbmcp-mcp-token \ -e OPENAI_API_KEY=your_api_key \ -e TBMCP_OPENAI_MODEL=gpt-4o-mini \ threatbyte-mcp

Persist SQLite data between runs (optional):

# Docker docker run --rm -p 5001:5001 -p 5002:5002 \ -v "$(pwd)/db:/app/db" \ -v "$(pwd)/app/uploads:/app/app/uploads" \ threatbyte-mcp # Podman podman run --rm -p 5001:5001 -p 5002:5002 \ -v "$(pwd)/db:/app/db:Z" \ -v "$(pwd)/app/uploads:/app/app/uploads:Z" \ threatbyte-mcp

Populate Sample Data

python db/populate_db.py --users 8 --cases 20 --notes 40 --files 20

This creates random users, cases, notes, and file artifacts. All user passwords are Password123!.

LLM Integration (Required for Agent Responses)

The agent task endpoint requires a real LLM. Without an API key, the agent returns an error indicating it is unavailable.

Environment variables:

  • TBMCP_OPENAI_API_KEY or OPENAI_API_KEY

  • TBMCP_OPENAI_MODEL (default: gpt-4o-mini)

Keep API keys server-side only and never expose them in the browser.

MCP Server Configuration

The SOC web app proxies MCP calls to the MCP server using a shared token.

Environment variables:

  • TBMCP_MCP_SERVER_URL (default: http://localhost:5002/mcp)

  • TBMCP_MCP_SERVER_TOKEN (shared secret between the SOC app and MCP server)

Notes

  • The UI uses server-rendered templates.

  • MCP tools are exposed under http://localhost:5002/mcp (JSON-RPC). The UI calls them through /mcp-proxy.

  • This app is intentionally insecure. Do not deploy it to the public internet.

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