Overview
AutoMR MCP (Automated Market Research MCP) is a specialized Model Context Protocol server designed to streamline the creation and management of market research surveys using Google Forms. This server enables AI agents to automatically generate well-structured surveys based on research objectives, best practices, and industry standards.
Rather than manually creating forms with proper question types, logic, and validation, researchers can describe their survey goals to an AI agent, which uses this MCP server to generate production-ready forms.
Key Capabilities
Survey Generation
- Automated Form Creation: Generate Google Forms from natural language descriptions
- Question Type Selection: Automatically choose appropriate question types (multiple choice, scale, text, etc.)
- Logic Flow: Implement skip logic and conditional questions
- Response Validation: Add validation rules to ensure data quality
Template Management
- Survey Templates: Pre-built templates for common research scenarios
- Question Banks: Reusable question sets for demographics, satisfaction, NPS
- Best Practices: Built-in survey design principles (question order, bias reduction)
- Industry Standards: Compliance with market research methodologies
Form Configuration
- Branding: Apply custom themes and logos to forms
- Settings Management: Configure response limits, deadlines, result visibility
- Email Notifications: Set up automatic notifications for responses
- Collaboration: Manage form editors and shared access
Response Management
- Data Collection: Track response rates and completion status
- Export Integration: Connect to analysis pipelines (planned)
- Response Validation: Filter incomplete or invalid responses (planned)
Use Cases
Product Research: An AI agent can generate a product feedback survey by:
- Understanding the product features to evaluate
- Creating appropriate rating scales and open-ended questions
- Adding demographic questions for segmentation
- Setting up skip logic based on usage patterns
Employee Surveys: Automatically generate engagement, satisfaction, or exit surveys with:
- Standardized question sets for benchmarking
- Anonymity controls for sensitive topics
- Department-specific conditional questions
- Integration with HR systems (planned)
Customer Feedback: Create NPS, CSAT, or CES surveys with:
- Industry-standard metrics and scales
- Follow-up questions based on scores
- Multi-language support (planned)
- Integration with CRM systems (planned)
Technical Implementation
Survey Generation Pipeline:
- Parse research objectives from natural language
- Identify required question types and structure
- Generate form schema with validation rules
- Create Google Form via Forms API
- Configure settings and permissions
- Return form URL and metadata
Quality Assurance:
- Validate question clarity and avoid leading questions
- Check for logical flow and proper skip patterns
- Ensure response options are mutually exclusive
- Verify accessibility and mobile compatibility
Integration Points:
- Google Forms API for form creation and management
- Google Drive API for organization and permissions
- BigQuery for response analytics (planned)
- Email services for distribution (planned)
Security & Privacy
Data Protection:
- No storage of survey responses by MCP server
- Secure handling of form creation credentials
- Audit logging of form creation and modifications
- User consent for form generation
Access Control:
- Forms created under user’s Google account
- Respects user’s Google Workspace policies
- No cross-user data access
- Revocable permissions
Future Development
- Response analysis and reporting capabilities
- Multi-language survey generation
- A/B testing for survey variations
- Integration with panel providers
- Advanced skip logic and question piping
- Real-time response monitoring dashboards
- AI-powered response quality analysis
- Template marketplace for common survey types