How do I use Threat Modeling MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Threat Modeling MCP Server Threat model this project" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Threat Modeling MCP Server

Official

by awslabs

Overview Schema Related Servers Score Discussions

Python

Local

Threat Modeling MCP Server

A Model Context Protocol (MCP) server for comprehensive threat modeling with automatic code validation.

Related MCP server: security-framework-mcp

Overview

This server provides tools for threat modeling, including business context analysis, architecture analysis, threat actor analysis, trust boundary analysis, asset flow analysis, code security validation and comprehensive report generation.

Architecture and Approach

This MCP Server calls the existing agent's LLM instead of making an external API or network call to a different service. It relies on existing client's LLM which could be Amazon-Q, Kiro or Cline.

This Threat Modeling MCP Server has three main functionalities:

Threat modeling phase or state management and prompt controlling.
Prompts steering, which controls the agent to go through a methodic approach to threat modeling using built in definitions of business risks, exposures, threat actors and use STRIDE in sequential order.
Data validation at every state or phase, which in turn produces actionable threat model report.

It also has tools to generate a final report in both Markdown and JSON exportable formats.

Key Advantages of this approach

This threat model follows the standard STRIDE approach to threat modeling in phases rather than quick conclusion of assets, boundaries and threats which can lead to hallucination or low quality output.
There is an effort by LLM to understand the business context of the project and make valid assumptions which can be controlled by the user.
The main advantage of using this local running threat modeling MCP server is that it leverages the client's existing LLM (Cline, Amazon-Q, Kiro). Any data which is processed or sent is limited to the client or other MCP servers you may have installed and invoked. This server doesn't call any other external APIs or send or receive data beyond calling the client's LLM or additional billing or tokens than what your client is already configured to use.
This threat modeling approach stores your threat model in the same repository as .threatmodel directory and you can evolve your threat model as your code, design and architecture evolves.
This threat model approach looks at the code if its present and updates the threats if they are already mitigated in the code level controls. You can rerun threat model once you fix your code and it should look at the fix to update the threat model quickly.

Quick Start Prompts and Examples on how to threat model with this MCP server

Note: Before using these prompts, you must first complete the Installation process to set up the MCP server.

Start a threat model

"Threat model this project using the threat modeling MCP Server"

Being specific in the prompt to use the threat modeling MCP Server will make sure the client (Cline/Kiro/etc) will follow the exact phases and methodology rather than taking short cut path and introduce hallucination in results.

Threat model a subproject or reduce the scope to a sub folder

"Threat model this subfolder using the threat modeling MCP Server"

Running it on a subfolder will limit the scope of threat model and code to that subfolder and save results as a .threatmodel directory within the subfolder.

Save the result of threat model

"Save the threat model report"

Validate the completeness of the threat modeling process

"Please complete all the phases in the threat model plan and then generate the final report."

Feed an architecture diagram image as input

"Threat model this project using the threat model MCP server and consider this architecture_image.png attached for this review"

Attempt remediating the threats

"Can you see if you can implement mitigation controls in the code based on the threats reported in the threat model"

Regenerate threat model based on code fixes

"Can you updated the threat model based on the code fixes which mitigated the reported threats"

More examples

# Set up context
"Set business context for an e-commerce payment system"

# Add architecture
"Add a web server component using AWS EC2"
"Add a database component using AWS RDS"

# Identify threats
"Add a threat where an attacker with network access performs SQL injection"

# Add mitigations
"Add a mitigation for input validation"

# Export results
"Export the threat model to my_model.json"

Key Features

Comprehensive Threat Modeling: Structured approach to identifying, evaluating, and addressing security risks
Automatic Code Validation: Detects code in the project directory and automatically validates the threat model against it
Business Context Analysis: Understand the business value and criticality of the system
Architecture Analysis: Document the system's technical architecture and data flows
Threat Actor Analysis: Identify potential adversaries and assess their capabilities
Trust Boundary Analysis: Identify trust zones and validate security controls at boundaries
Asset Flow Analysis: Track critical assets through the system
Threat Identification: Systematically identify potential threats using STRIDE methodology
Mitigation Planning: Develop strategies to address identified threats
Assumption Management: Tools for adding, listing, updating, and deleting assumptions in the threat model
Threat Generator: Tools for adding and managing threats in the model
Mitigation Management: Tools for managing mitigations and linking them to threats
Threat Model Guide: Step-by-step guidance through the threat modeling process
Data Model Types: Tools for exploring available data model types and enumerations

Prerequisites

Before installing the Threat Modeling MCP Server, ensure you have the following requirements:

Installation Requirements

Install uvx from Astral or the GitHub README
- uvx is part of the uv package manager
- Verify installation: uvx --version

Installation

Once you have uvx installed and verified to be working, add the below configuation to your mcp.json config file. Depending on the what type of client your are using (kiro/cline/amazon-q) the location of this mcp.json will be different. Once you add the config and restart your IDE, the Threat Modeling MCP Server will be automatically be installed directly from this GitHub repository using uvx.

Note: The tools used by this mcp server for threat modeling are already added to the autoApprove for ease of user experience which enables seamless operation without manual approval prompts for each tool call. All tools are internal to the server and do not make external API calls. If you want to review each of the tools and approve it per invocation, then you need to replace the autoApprove array with this: "autoApprove": []

Configuration

Add the following to your MCP client configuration:

For Amazon Q (~/.aws/amazonq/mcp.json):

{
  "mcpServers": {
    "threat-modeling-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/awslabs/threat-modeling-mcp-server.git",
        "threat-modeling-mcp-server"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "disabled": false,
      "autoApprove": ["add_asset","add_assumption","add_component","add_component_to_zone","add_conn_to_crossing","add_connection","add_crossing_point","add_data_store","add_flow","add_mitigation","add_threat","add_threat_actor","add_trust_boundary","add_trust_zone","advance_phase","analyze_threat_actors","clear_architecture","clear_asset_flows","clear_business_context","clear_threat_actors","clear_trust_boundaries","delete_asset","delete_assumption","delete_component","delete_connection","delete_crossing_point","delete_data_store","delete_flow","delete_mitigation","delete_threat","delete_threat_actor","delete_trust_boundary","delete_trust_zone","execute_code_validation_step","execute_final_export_step","export_comprehensive_threat_model","export_threat_model_with_remediation_status","follow_threat_modeling_plan","generate_remediation_report","get_architecture_analysis_plan","get_asset","get_asset_flow_analysis_plan","get_assumption","get_business_context","get_business_context_analysis_plan","get_business_context_features","get_crossing_point","get_current_phase_status","get_data_model_types","get_flow","get_mitigation","get_phase_1_guidance","get_phase_2_guidance","get_phase_3_guidance","get_phase_4_guidance","get_phase_5_guidance","get_phase_6_guidance","get_phase_7_5_guidance","get_phase_7_guidance","get_phase_8_guidance","get_phase_9_guidance","get_threat","get_threat_actor","get_threat_model_progress","get_threat_modeling_plan","get_trust_boundary","get_trust_boundary_analysis_plan","get_trust_boundary_detection_plan","get_trust_zone","link_mitigation_to_threat","list_assets","list_assumptions","list_components","list_connections","list_crossing_points","list_data_models","list_data_stores","list_flows","list_mitigations","list_threat_actors","list_threats","list_trust_boundaries","list_trust_zones","remove_component_from_zone","remove_conn_from_crossing","reset_asset_flows","reset_threat_actors","set_business_context","set_threat_actor_priority","set_threat_actor_relevance","unlink_mitigation_from_threat","update_asset","update_assumption","update_component","update_connection","update_crossing_point","update_data_store","update_flow","update_mitigation","update_threat","update_threat_actor","update_trust_boundary","update_trust_zone","validate_business_context_completeness","validate_security_controls","validate_threat_model_against_code","validate_threat_remediation"]
    }
  }
}

For VSCode Cline:

{
  "mcpServers": {
    "threat-modeling-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/awslabs/threat-modeling-mcp-server.git",
        "threat-modeling-mcp-server"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "disabled": false,
      "autoApprove": ["add_asset","add_assumption","add_component","add_component_to_zone","add_conn_to_crossing","add_connection","add_crossing_point","add_data_store","add_flow","add_mitigation","add_threat","add_threat_actor","add_trust_boundary","add_trust_zone","advance_phase","analyze_threat_actors","clear_architecture","clear_asset_flows","clear_business_context","clear_threat_actors","clear_trust_boundaries","delete_asset","delete_assumption","delete_component","delete_connection","delete_crossing_point","delete_data_store","delete_flow","delete_mitigation","delete_threat","delete_threat_actor","delete_trust_boundary","delete_trust_zone","execute_code_validation_step","execute_final_export_step","export_comprehensive_threat_model","export_threat_model_with_remediation_status","follow_threat_modeling_plan","generate_remediation_report","get_architecture_analysis_plan","get_asset","get_asset_flow_analysis_plan","get_assumption","get_business_context","get_business_context_analysis_plan","get_business_context_features","get_crossing_point","get_current_phase_status","get_data_model_types","get_flow","get_mitigation","get_phase_1_guidance","get_phase_2_guidance","get_phase_3_guidance","get_phase_4_guidance","get_phase_5_guidance","get_phase_6_guidance","get_phase_7_5_guidance","get_phase_7_guidance","get_phase_8_guidance","get_phase_9_guidance","get_threat","get_threat_actor","get_threat_model_progress","get_threat_modeling_plan","get_trust_boundary","get_trust_boundary_analysis_plan","get_trust_boundary_detection_plan","get_trust_zone","link_mitigation_to_threat","list_assets","list_assumptions","list_components","list_connections","list_crossing_points","list_data_models","list_data_stores","list_flows","list_mitigations","list_threat_actors","list_threats","list_trust_boundaries","list_trust_zones","remove_component_from_zone","remove_conn_from_crossing","reset_asset_flows","reset_threat_actors","set_business_context","set_threat_actor_priority","set_threat_actor_relevance","unlink_mitigation_from_threat","update_asset","update_assumption","update_component","update_connection","update_crossing_point","update_data_store","update_flow","update_mitigation","update_threat","update_threat_actor","update_trust_boundary","update_trust_zone","validate_business_context_completeness","validate_security_controls","validate_threat_model_against_code","validate_threat_remediation"],
      "timeout": 60,
      "type": "stdio"
    }
  }
}

For Kiro (~/.kiro/settings/mcp.json):

{
  "mcpServers": {
    "threat-modeling-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/awslabs/threat-modeling-mcp-server.git",
        "threat-modeling-mcp-server"
      ],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
      "disabled": false,
      "autoApprove": ["add_asset","add_assumption","add_component","add_component_to_zone","add_conn_to_crossing","add_connection","add_crossing_point","add_data_store","add_flow","add_mitigation","add_threat","add_threat_actor","add_trust_boundary","add_trust_zone","advance_phase","analyze_threat_actors","clear_architecture","clear_asset_flows","clear_business_context","clear_threat_actors","clear_trust_boundaries","delete_asset","delete_assumption","delete_component","delete_connection","delete_crossing_point","delete_data_store","delete_flow","delete_mitigation","delete_threat","delete_threat_actor","delete_trust_boundary","delete_trust_zone","execute_code_validation_step","execute_final_export_step","export_comprehensive_threat_model","export_threat_model_with_remediation_status","follow_threat_modeling_plan","generate_remediation_report","get_architecture_analysis_plan","get_asset","get_asset_flow_analysis_plan","get_assumption","get_business_context","get_business_context_analysis_plan","get_business_context_features","get_crossing_point","get_current_phase_status","get_data_model_types","get_flow","get_mitigation","get_phase_1_guidance","get_phase_2_guidance","get_phase_3_guidance","get_phase_4_guidance","get_phase_5_guidance","get_phase_6_guidance","get_phase_7_5_guidance","get_phase_7_guidance","get_phase_8_guidance","get_phase_9_guidance","get_threat","get_threat_actor","get_threat_model_progress","get_threat_modeling_plan","get_trust_boundary","get_trust_boundary_analysis_plan","get_trust_boundary_detection_plan","get_trust_zone","link_mitigation_to_threat","list_assets","list_assumptions","list_components","list_connections","list_crossing_points","list_data_models","list_data_stores","list_flows","list_mitigations","list_threat_actors","list_threats","list_trust_boundaries","list_trust_zones","remove_component_from_zone","remove_conn_from_crossing","reset_asset_flows","reset_threat_actors","set_business_context","set_threat_actor_priority","set_threat_actor_relevance","unlink_mitigation_from_threat","update_asset","update_assumption","update_component","update_connection","update_crossing_point","update_data_store","update_flow","update_mitigation","update_threat","update_threat_actor","update_trust_boundary","update_trust_zone","validate_business_context_completeness","validate_security_controls","validate_threat_model_against_code","validate_threat_remediation"]
    }
  }
}

Running with Kiro CLI

To run the MCP server via kiro-cli with all tools auto-approved:

kiro-cli chat --trust-tools="@threat-modeling-mcp-server/*"

This trusts all tools from the threat-modeling-mcp-server MCP server, so you won't be prompted to approve each tool call individually.

Running with the Custom Kiro CLI Agent

This repository includes a pre-configured Kiro CLI agent that provides a guided, 9-phase threat modeling experience. The agent configuration is in .kiro/agents/threat-modeler.json.

Global install (available from any directory):

./install-kiro-agent.sh

To uninstall: ./install-kiro-agent.sh --remove

Local install (project-specific):

cp -r /path/to/threat-modeling-mcp-server/.kiro /path/to/your-project/.kiro

Usage:

# Non-interactive: run full threat model and exit
kiro-cli chat --agent threat-modeler --no-interactive "Threat model this project"

# Interactive: start a session with the agent
kiro-cli chat --agent threat-modeler

What the agent includes:

System prompt (.kiro/prompts/threat-modeler.md): Detailed instructions for the 9-phase STRIDE methodology
Skills (.kiro/skills/): Per-phase reference materials for each of the 9 threat modeling phases
Auto-approved MCP tools: All threat modeling tools run without manual approval prompts

Output File Management

All output files generated by the threat modeling server are automatically saved to a .threatmodel directory in your project root. This includes:

Exported threat models (JSON format)
Validation reports
Analysis results

The .threatmodel directory is created automatically when needed.

Quick Reference

Essential Tools for Getting Started

Tool	Purpose	Example
`get_threat_modeling_plan()`	Get comprehensive plan	Start here for overview
`get_phase_1_guidance()`	Get focused Phase 1 guidance	Recommended starting point
`get_current_phase_status()`	Check progress	Track completion status
`set_business_context(desc)`	Define system context	"E-commerce payment system"
`add_component(name, type)`	Add architecture component	"API Gateway", "Network"
`add_threat(source, prereq, action, impact)`	Identify threat	"Attacker", "network access", "SQL injection", "data breach"
`add_mitigation(content)`	Add security control	"Input validation and parameterized queries"
`link_mitigation_to_threat(m_id, t_id)`	Link controls to threats	Connect mitigations to specific threats
`execute_code_validation_step()`	Auto-execute Phase 7.5	Ensures code validation completion
`execute_final_export_step()`	Auto-execute Phase 9	Generates all required files

🚀 Step-by-Step Guidance

Recommended Approach: Use phase-specific guidance tools instead of the comprehensive plan:

Phase	Tool	Purpose
1	`get_phase_1_guidance()`	Business Context Analysis
2	`get_phase_2_guidance()`	Architecture Analysis
3	`get_phase_3_guidance()`	Threat Actor Analysis
4	`get_phase_4_guidance()`	Trust Boundary Analysis
5	`get_phase_5_guidance()`	Asset Flow Analysis
6	`get_phase_6_guidance()`	Threat Identification
7	`get_phase_7_guidance()`	Mitigation Planning
7.5	`execute_code_validation_step()`	Code Validation (Auto)
8	`get_phase_8_guidance()`	Residual Risk Analysis
9	`execute_final_export_step()`	Final Export (Auto)

Tools Overview

The Threat Modeling MCP Server provides 100+ tools organized into the following categories:

Category	Tools	Description
Threat Modeling Plan	1 tool	Generate comprehensive threat modeling plans
Assumption Management	5 tools	Add, list, get, update, and delete assumptions
Business Context Analysis	13 tools	Analyze business context and requirements
Architecture Analysis	13 tools	Document and analyze system architecture
Threat Actor Analysis	10 tools	Identify and analyze potential threat actors
Trust Boundary Analysis	18 tools	Analyze trust zones, boundaries, and crossing points
Trust Boundary Detection	1 tool	AI-powered trust boundary detection
Asset Flow Analysis	12 tools	Track and analyze asset flows through the system
Threat Generation	4 tools	Add, list, get, and delete threats
Mitigation Management	7 tools	Manage mitigations and link them to threats
Threat Model Guide	3 tools	Step-by-step guidance through the process
Data Model Types	2 tools	Explore available data model types
Code Security Validation	3 tools	Validate security controls in code
Threat Model Validation	2 tools	Validate threat models against code
Step Orchestrator	12 tools	Phase-specific guidance and step execution

Threat Modeling Methodology

STRIDE Framework

The server uses the STRIDE methodology for systematic threat identification:

Category	Description	Example Threats
Spoofing	Impersonating someone or something else	Authentication bypass, identity theft
Tampering	Modifying data or code	Data corruption, code injection
Repudiation	Claiming to have not performed an action	Log tampering, non-repudiation failures
Information Disclosure	Exposing information to unauthorized users	Data leaks, privacy breaches
Denial of Service	Denying or degrading service	Resource exhaustion, availability attacks
Elevation of Privilege	Gaining capabilities without authorization	Privilege escalation, unauthorized access

Threat Modeling Process

The comprehensive threat modeling process includes these phases:

Business Context Analysis: Understanding the business value and criticality of the system
Architecture Analysis: Documenting the system's technical architecture
Threat Actor Analysis: Identifying potential adversaries and their capabilities
Trust Boundary Analysis: Identifying trust zones and boundary crossings
Asset Flow Analysis: Tracking critical assets through the system
Threat Identification: Systematically identifying potential threats using STRIDE
Mitigation Planning: Developing strategies to address identified threats
Code Validation: Validating threats against existing security controls
Residual Risk Analysis: Assessing remaining risks after mitigations

Each phase includes specific objectives, activities, and outputs to guide the threat modeling process.

Threat Severity Levels

Critical: Immediate action required, system compromise likely
High: Significant risk, should be addressed quickly
Medium: Moderate risk, address in normal development cycle
Low: Minor risk, address when convenient
Info: Informational finding, no immediate action required

Mitigation Types

Preventive: Controls that prevent threats from occurring
Detective: Controls that detect when threats occur
Corrective: Controls that respond to and correct threats
Compensating: Alternative controls when primary controls aren't feasible

Assumptions in Threat Modeling

Assumptions are statements that we accept as true without requiring further validation. They help scope the threat model by establishing boundaries and constraints. Common examples include:

"All network connections in the VPC are encrypted in transit"
"AWS KMS keys cannot be discovered by brute force"
"Nation-state threat actors are not a concern for this system"

By documenting assumptions, we can:

Prevent generating pointless threats
Avoid recommending unnecessary mitigations
Focus on relevant security concerns
Clearly document the scope and limitations of the threat model

Development

Contributing

To contribute to this project:

Clone the repository
Install development dependencies with uv pip install -e .
Run the server locally with python run_server.py
Run tests with python -m pytest

Security

See CONTRIBUTING for more information.

License

This project is licensed under the Apache-2.0 License. See the LICENSE file for details.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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Threat Modeling MCP Server

Table of Contents

Overview

Architecture and Approach

Key Advantages of this approach

Quick Start Prompts and Examples on how to threat model with this MCP server

Start a threat model

Threat model a subproject or reduce the scope to a sub folder

Save the result of threat model

Validate the completeness of the threat modeling process

Feed an architecture diagram image as input

Attempt remediating the threats

Regenerate threat model based on code fixes

More examples

Key Features

Prerequisites

Installation Requirements

Installation

Configuration

Running with Kiro CLI

Running with the Custom Kiro CLI Agent

Output File Management

Quick Reference

Essential Tools for Getting Started

🚀 Step-by-Step Guidance

Tools Overview

Threat Modeling Methodology

STRIDE Framework

Threat Modeling Process

Threat Severity Levels

Mitigation Types

Assumptions in Threat Modeling

Development

Contributing

Security

License

Maintenance

Resources

Looking for Admin?

Latest Blog Posts

MCP directory API