deeptempo-mcp-servers

deeptempo-mcp-servers

Provides tools for DeepTempo AI SOC including findings and case management, investigation workflow orchestration, action approval workflows, and MITRE ATT&CK layer generation.

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README

DeepTempo MCP Servers

Model Context Protocol (MCP) servers for DeepTempo AI SOC.

Overview

This package provides 4 MCP servers for DeepTempo AI SOC:

  1. deeptempo-findings - Findings and case management (FastMCP)
  2. tempo-flow - Investigation workflow orchestration
  3. approval - Action approval workflow
  4. attack-layer - MITRE ATT&CK layer generation

Installation

# Install from source (development)
pip install -e .

# Install deeptempo-core dependency first
pip install -e ../deeptempo-core

# Install from git
pip install git+https://github.com/YOUR_USERNAME/deeptempo-mcp-servers.git

Usage

Running Individual Servers

# deeptempo-findings server (FastMCP)
python servers/deeptempo_findings.py

# tempo-flow server
python servers/tempo_flow.py

# approval server
python servers/approval.py

# attack-layer server
python servers/attack_layer.py

Using with Claude Desktop

Add to your Claude Desktop MCP configuration (~/.config/claude/mcp.json):

{
  "mcpServers": {
    "deeptempo-findings": {
      "command": "python3",
      "args": ["/path/to/deeptempo-mcp-servers/servers/deeptempo_findings.py"],
      "cwd": "/path/to/your/project"
    },
    "tempo-flow": {
      "command": "python3",
      "args": ["/path/to/deeptempo-mcp-servers/servers/tempo_flow.py"],
      "cwd": "/path/to/your/project"
    },
    "approval": {
      "command": "python3",
      "args": ["/path/to/deeptempo-mcp-servers/servers/approval.py"],
      "cwd": "/path/to/your/project"
    },
    "attack-layer": {
      "command": "python3",
      "args": ["/path/to/deeptempo-mcp-servers/servers/attack_layer.py"],
      "cwd": "/path/to/your/project"
    }
  }
}

Server Descriptions

deeptempo-findings

Provides comprehensive access to findings and cases:

Tools:

  • list_findings - List security findings with filters
  • get_finding - Get detailed finding information
  • list_cases - List investigation cases
  • get_case - Get detailed case information
  • create_case - Create new investigation case
  • update_case - Update case details
  • add_finding_to_case - Link finding to case
  • And 17+ more tools for case management

tempo-flow

Investigation workflow orchestration:

Tools:

  • tempo_get_workflows - List available workflows
  • tempo_run_workflow - Execute investigation workflow

approval

Action approval workflow:

Tools:

  • create_approval_action - Submit action for approval
  • list_approval_actions - List pending/approved actions
  • get_approval_action - Get action details
  • approve_action - Approve pending action
  • reject_action - Reject pending action

attack-layer

MITRE ATT&CK layer generation:

Tools:

  • get_attack_layer - Get ATT&CK Navigator layer
  • get_technique_rollup - Get technique statistics
  • get_findings_by_technique - Find findings for technique
  • create_attack_layer - Create custom layer

Configuration

The servers use configuration from deeptempo-core. Set environment variables:

# Database
export DATABASE_URL=postgresql://user:pass@localhost:5432/deeptempo_soc

# Or individual components
export POSTGRES_HOST=localhost
export POSTGRES_PORT=5432
export POSTGRES_DB=deeptempo_soc
export POSTGRES_USER=deeptempo
export POSTGRES_PASSWORD=your_password

# Demo mode (uses generated sample data)
export DEMO_MODE=true

Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black servers/
ruff check servers/

Architecture

deeptempo-mcp-servers/
├── servers/
│   ├── __init__.py
│   ├── deeptempo_findings.py  # FastMCP server
│   ├── tempo_flow.py           # Standard MCP server
│   ├── approval.py             # Standard MCP server
│   ├── attack_layer.py         # Standard MCP server
│   └── base.py                 # Shared utilities
└── tests/
    └── test_servers.py

License

MIT License - see LICENSE file for details.

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