SD Elements MCP Server
A Model Context Protocol server that provides SD Elements API integration, enabling LLMs to interact with SD Elements security development lifecycle platform.
README Documentation
SD Elements MCP Server
A Model Context Protocol server that provides SD Elements API integration. This server enables LLMs to interact with SD Elements security development lifecycle platform.
Available Tools
Project Management
list_projects- List all projects with optional filteringget_project- Get detailed project informationcreate_project- Create a new projectcreate_project_from_code- Create application and project in SD Elements. Returns the project survey structure with all available questions and answers. IMPORTANT: The AI client must review the survey structure, determine appropriate answers based on the project context, set them usingadd_survey_answers_by_textorset_project_survey_by_text, and then commit the survey draft usingcommit_survey_draftto publish the survey and generate countermeasures.update_project- Update project details (name, description, status, risk_policy)delete_project- Delete a projectlist_profiles- List all available profileslist_risk_policies- List all available risk policiesget_risk_policy- Get details of a specific risk policy
Application Management
list_applications- List all applicationsget_application- Get application detailscreate_application- Create a new applicationupdate_application- Update application information
Countermeasures
list_countermeasures- List countermeasures for a projectget_countermeasure- Get countermeasure detailsupdate_countermeasure- Update countermeasure status or detailsadd_countermeasure_note- Add a note to an existing countermeasure (convenience tool for adding notes only)
Project Surveys
get_project_survey- Get the complete survey structure for a projectget_survey_answers_for_project- Get the survey answers that are currently selected/assigned for a project in readable formatupdate_project_survey- Update project survey answers with answer IDsfind_survey_answers- Find answer IDs by searching for answer text (e.g., "Java", "Web Application")set_project_survey_by_text- Set survey using answer text directly instead of IDsadd_survey_answers_by_text- Add answers to survey without removing existing ones (e.g., add "Python")remove_survey_answers_by_text- Remove specific answers from survey (e.g., remove "Java")
Repository Scanning
list_scan_connections- List available repository scan connections (GitHub/GitLab)scan_repository- Scan a repository to automatically populate project surveyget_scan_status- Get status and results of a repository scanlist_scans- List all repository scans for a project
Project Diagrams
list_project_diagrams- List diagrams for a projectget_diagram- Get a specific diagram with its datacreate_diagram- Create a new project diagramupdate_diagram- Update an existing diagramdelete_diagram- Delete a project diagram
Note: The Project Diagrams feature requires enablement by your Customer Success Manager. Contact your CSM if this feature is not available on your instance.
Advanced Reports
list_advanced_reports- List all advanced reportsget_advanced_report- Get report configurationrun_advanced_report- Execute a report and get the data (JSON/CSV)create_advanced_report- Create a new advanced reportexecute_cube_query- Execute Cube API queries directly for advanced analytics
Quick Start
Using uvx (recommended)
Option 1: From GitHub (Current)
uvx git+https://github.com/geoffwhittington/sde-mcp.git
Option 2: From PyPI (Future - when published)
uvx sde-mcp-server
Using uv
Install from GitHub
uv pip install git+https://github.com/geoffwhittington/sde-mcp.git
sde-mcp-server
Install from PyPI (when available)
uv pip install sde-mcp-server
sde-mcp-server
Using pip
Install from GitHub
pip install git+https://github.com/geoffwhittington/sde-mcp.git
sde-mcp-server
Install from PyPI (when available)
pip install sde-mcp-server
sde-mcp-server
Configuration
The server requires two environment variables:
SDE_HOST: Your SD Elements instance URL (e.g.,https://your-sdelements-instance.com)SDE_API_KEY: Your SD Elements API key
Setting Environment Variables
Option 1: Environment Variables
export SDE_HOST="https://your-sdelements-instance.com"
export SDE_API_KEY="your-api-key-here"
Option 2: .env File
Create a .env file in your working directory:
SDE_HOST=https://your-sdelements-instance.com
SDE_API_KEY=your-api-key-here
Getting Your API Key
- Log into your SD Elements instance
- Go to Settings > API Tokens
- Generate a new API token
- Copy the token value for use as
SDE_API_KEY
MCP Client Configuration
Claude Desktop
Add this to your Claude Desktop configuration file:
Option 1: From GitHub (Current)
{
"mcpServers": {
"sde-elements": {
"command": "uvx",
"args": ["git+https://github.com/geoffwhittington/sde-mcp.git"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Option 2: From PyPI (Future)
{
"mcpServers": {
"sde-elements": {
"command": "uvx",
"args": ["sde-mcp-server"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Cline
Add this to your Cline MCP settings:
From GitHub (Current)
{
"mcpServers": {
"sde-elements": {
"command": "uvx",
"args": ["git+https://github.com/geoffwhittington/sde-mcp.git"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Continue
Add this to your Continue configuration:
From GitHub (Current)
{
"mcpServers": {
"sde-elements": {
"command": "uvx",
"args": ["git+https://github.com/geoffwhittington/sde-mcp.git"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Cursor
Add this to your Cursor configuration file:
Option 1: From GitHub (Current)
{
"mcpServers": {
"sde-elements": {
"command": "uvx",
"args": ["git+https://github.com/geoffwhittington/sde-mcp.git"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Option 2: Using local installation
If you have the package installed locally:
{
"mcpServers": {
"sde-elements": {
"command": "sde-mcp-server",
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Option 3: Using Python module directly
{
"mcpServers": {
"sde-elements": {
"command": "python",
"args": ["-m", "sde_mcp_server"],
"env": {
"SDE_HOST": "https://your-sdelements-instance.com",
"SDE_API_KEY": "your-api-key-here"
}
}
}
}
Development
Prerequisites
- uv installed
- Python 3.10 or higher
Setup
# Clone the repository
git clone <repository-url>
cd sde-mcp-server
# Create virtual environment and install dependencies
uv sync
# Run in development mode
uv run python -m sde_mcp_server
Testing Locally
Testing
Setup (one-time):
# Install project + test dependencies
pip install -e ".[test-all]"
# OR with uv:
uv sync --all-extras
# Set up API key for integration tests (optional)
cp tests/.env.example .env
# Edit .env and add: OPENAI_API_KEY=your-key-here
Run tests (always from project root):
# CSV-driven prompt-to-tool mapping tests (requires OpenAI API key)
pytest tests/test_prompt_mapping_from_csv.py -m 'integration and not unit' -v
Test with MCP Inspector:
npx @modelcontextprotocol/inspector python -m sde_mcp_server
Important:
- Always run tests from the project root directory (not from
tests/) - The project must be installed first (
pip install -e .oruv sync) - Test dependencies are isolated - they don't pollute the server installation
See tests/README.md for full testing guide.
Building
# Build the package
uv build
# Install locally for testing
uv pip install dist/*.whl
# Test the installed package
sde-mcp-server
Key Features & Use Cases
1. Project & Application Management
Create and manage projects:
"Create a new project called 'Mobile Banking App' in application 456"
"Update project 123's description to 'Customer-facing mobile banking application'"
"List all projects and show their status"
"Delete project 789"
Create project from code context:
"Create an SD Elements project based on the code in this repository"
"Model the sde_mcp_server codebase in SD Elements"
Note: After creating the project, you must:
- Review the survey structure returned by the tool
- Set appropriate survey answers using
add_survey_answers_by_textorset_project_survey_by_text - Commit the survey draft using
commit_survey_draftto generate countermeasures
The create_project_from_code tool:
- Creates or uses an existing application
- Creates a new project in that application
- Returns the complete survey structure with all available questions and answers
IMPORTANT: This tool does NOT automatically set survey answers or commit the draft. The AI client MUST:
- Review the returned survey structure (all available questions and answers)
- Use its AI knowledge to determine appropriate survey answers based on the project context
- Call
add_survey_answers_by_textorset_project_survey_by_textto set the answers - Call
commit_survey_draftto publish the survey and generate countermeasures
The survey draft is NOT committed automatically. The AI client must commit it after setting the answers to ensure countermeasures are generated.
Manage applications:
"Create an application called 'Customer Portal'"
"List all applications"
"Update application 456's description"
"Get details for application 123"
2. Natural Language Survey Management
Set surveys using plain English instead of answer IDs:
"Set the survey for project 123 to: Python, Django, PostgreSQL, AWS, Docker"
Add/remove specific technologies:
"Add Redis and Kubernetes to project 123"
"Remove Java from the survey"
"Replace MySQL with PostgreSQL"
Query current configuration:
"What answers are in the survey for project 123?"
"Show me the current survey answers"
"Show the survey answers grouped by section"
Commit survey changes:
"Commit the survey draft for project 123"
No need to know answer IDs - just use technology names like "Java", "Python", "AWS", etc.
3. Automated Repository Scanning
Scan repositories to auto-populate surveys:
"Scan https://github.com/myorg/api-service for project 123"
The system will:
- Detect programming languages, frameworks, databases
- Identify cloud technologies and dependencies
- Automatically update the project survey
- Lock the project during scan for data integrity
Check scan progress:
"Is my scan complete?"
"What did the repository scan detect?"
"Show scan status for project 123"
"List all scans"
"List available repository connections"
4. Threat Model Diagrams
Manage diagrams:
"List all diagrams for project 123"
"Get diagram 456"
"Create a new diagram for project 123"
"Update diagram 456 with new data"
"Delete diagram 789"
Note: The Project Diagrams feature must be enabled on your SD Elements instance. Contact your Customer Success Manager to enable this feature.
5. Countermeasure Management
Track and manage security countermeasures:
"List all countermeasures for project 123"
"Show open countermeasures for project 123"
"Get details for countermeasure 456"
"Update countermeasure 456 status to complete"
"Add a note to countermeasure 789"
"Add notes to countermeasure 789" (uses `add_countermeasure_note` tool)
6. Advanced Reporting
Work with reports:
"List all available reports"
"Run report 123 in JSON format"
"Get report 456 configuration"
"Create a report showing all projects with their countermeasure status"
Execute custom Cube queries:
"Execute a Cube query to analyze security trends"
"Run a custom query on the countermeasure schema"
Use the Advanced Reports and Cube API to generate custom analytics and insights from your SD Elements data.
7. User & Team Management
Manage users and teams:
"List all active users"
"Get details for user 123"
"Who am I? (get current authenticated user)"
"List all business units"
"Get business unit 456 details"
8. Connection Testing & Generic API Access
Test API connectivity:
"Test the connection to SD Elements"
"Verify my API credentials"
Make custom API requests:
"Make a GET request to endpoint projects/123/"
"Call the custom API endpoint with specific parameters"
Features
- Natural Language Control: Manage SD Elements using plain English
- Full API Coverage: Supports all major SD Elements API endpoints
- Authentication: Secure API key-based authentication
- Error Handling: Comprehensive error handling and validation
- Environment Configuration: Flexible configuration via environment variables
- Modern Python: Built with modern Python packaging (uv, pyproject.toml)
- MCP Compliant: Fully compatible with the Model Context Protocol
Complete Example Workflows
Project Setup Workflow
# Create application and project
"Create an application called 'E-Commerce Platform'"
→ AI: "Created application (ID: 456)"
"Create a project called 'Payment Service' in application 456"
→ AI: "Created project (ID: 789)"
# Set up initial survey
"Set the survey for project 789 to: Python, FastAPI, PostgreSQL, Redis, AWS, Docker"
→ AI: "Survey updated with 6 answers"
# Verify setup
"List all projects and show their details"
→ AI: Shows all projects including the new one
"Get details for project 789"
→ AI: Shows full project details including survey configuration
Survey Management Workflow
# Check current state
"What's in the survey for project 123?"
→ AI: "Currently has: Java, MySQL, Tomcat, On-Premise"
# Make changes
"Replace Java with Python, MySQL with PostgreSQL, and Tomcat with Docker"
→ AI: "Updated survey. Removed: Java, MySQL, Tomcat. Added: Python, PostgreSQL, Docker"
# Add new technology
"Add Redis for caching"
→ AI: "Added Redis. Total answers: 5"
# View detailed survey
"Show me the survey answers grouped by section"
→ AI: Shows answers organized by survey sections (Architecture, Technologies, etc.)
# Commit changes
"Commit the survey draft for project 123"
→ AI: "Survey draft committed successfully"
Repository Scanning Workflow
# First time setup (one-time)
"List my scan connections"
→ AI: "Found 1 connection: GitHub (ID: 1)"
# Scan repositories (anytime)
"Scan https://github.com/company/api-service for project 456"
→ AI: "Scan started (ID: 789). Analyzing repository..."
# Check progress
"What's the status of scan 789?"
→ AI: "Scan complete! Detected: Python, FastAPI, PostgreSQL, Docker, AWS"
# List all scans
"List all scans for project 456"
→ AI: Shows scan history with status and results
# Survey is now auto-populated
"Show me the survey"
→ AI: "Survey has 15 answers based on repository scan"
Diagram Management Workflow
# List diagrams
"List all diagrams for project 123"
→ AI: Shows all diagrams with names and IDs
# View diagram
"Get diagram 456"
→ AI: Returns full diagram data
# Create diagram
"Create a new diagram called 'System Architecture' for project 123"
→ AI: "Diagram created successfully"
# Update diagram
"Update diagram 456 with new data"
→ AI: "Diagram updated successfully"
# Delete diagram
"Delete diagram 789"
→ AI: "Diagram deleted successfully"
Note: Diagrams must be created/edited through the SD Elements UI or API with proper JSON schema. The feature requires CSM enablement.
Countermeasure Management Workflow
# View countermeasures
"List all countermeasures for project 123"
→ AI: Shows all countermeasures with status
"Show only open countermeasures for project 123"
→ AI: Filters to show incomplete countermeasures
# Update countermeasure
"Get details for countermeasure 456"
→ AI: Shows full countermeasure details
"Update countermeasure 456 status to completed"
→ AI: "Countermeasure marked as completed"
"Add a note to countermeasure 456: Implemented OAuth 2.0 with JWT tokens"
→ AI: Uses `add_countermeasure_note` tool to add the note
# Or use the dedicated note tool
"Add a note to countermeasure 789 explaining the implementation approach"
→ AI: Uses `add_countermeasure_note` tool to add the note
Reporting Workflow
# List and run reports
"List all available reports"
→ AI: Shows existing reports
"Run report 123 in JSON format"
→ AI: Executes report and returns JSON data
"Get report 456 configuration"
→ AI: Shows report query structure and parameters
# Create custom reports
"Create a report showing all projects with their security status"
→ AI: Creates custom report with specified parameters
# Execute Cube queries
"Execute a Cube query on the countermeasure schema"
→ AI: Runs query and returns results
User & Team Management Workflow
# User management
"List all active users"
→ AI: Shows list of active users
"Who am I?"
→ AI: "You are: John Doe (john.doe@company.com), Role: Admin"
"Get details for user 123"
→ AI: Shows user profile and permissions
# Business units
"List all business units"
→ AI: Shows organizational structure
"Get business unit 456 details"
→ AI: Shows business unit info with associated applications
Full Project Lifecycle Example
# 1. Initial Setup
"Create application 'Banking Services'"
"Create project 'Mobile App' in application 123"
# 2. Configure via repository scan
"Scan https://github.com/company/mobile-app for project 456"
"Wait for scan to complete and commit survey"
# 3. Manage diagrams (if enabled)
"List diagrams for project 456"
"Create a new diagram for the project"
# 4. Track security work
"List all countermeasures for project 456"
"Update high-priority countermeasures"
# 5. Monitor progress
"Generate a security status report for project 456"
"Show countermeasure completion trends"
# 6. Make updates
"Add Kubernetes to the survey"
"Update project components"
# 7. Create reports
"Create a report showing security status for all projects"
"Run report 123 to analyze countermeasure trends"
API Coverage
This server provides comprehensive access to SD Elements functionality:
Core Resources
- Projects: Full CRUD (Create, Read, Update, Delete) operations
- Applications: Create, list, view, and update applications
- Business Units: List and view organizational structure
Security Management
- Countermeasures: List, view, update status, and add notes (via
update_countermeasureor dedicatedadd_countermeasure_notetool) - Project Surveys: Full survey management with natural language support
- Set answers using technology names (no ID lookup needed)
- Add/remove specific answers incrementally
- View current configuration in multiple formats
- Commit survey drafts
- Auto-resolve dependencies
Automation & Integration
-
Repository Scanning: Automated technology detection
- GitHub and GitLab integration
- Automatic survey population
- Scan status tracking
- Historical scan management
-
Threat Model Diagrams: Complete diagram lifecycle (requires CSM enablement)
- Full CRUD operations
- List, view, create, update, and delete diagrams
- Work with diagram data via API
Analytics & Reporting
- Advanced Reports: Flexible reporting and analytics
- List available reports
- Execute existing reports (JSON/CSV output)
- Create custom reports with Cube API
- Execute Cube queries directly for advanced analytics
User & Team Management
- Users: List users, view profiles, get current user
- Authentication: Test API connectivity and credentials
Advanced Features
- Generic API Access: Make custom API calls to any SD Elements endpoint
- Flexible Configuration: Environment-based setup with
.envsupport - Natural Language Interface: Control everything through plain English commands
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Support
For issues and questions:
- Check the Issues page
- Review the SD Elements API documentation
- Ensure your API key has proper permissions
Note: This is an unofficial MCP server for SD Elements. For official SD Elements support, please contact Security Compass.