# HUMMBL MCP Server Enhancement Plan
*Implementation plan for 4 key enhancements*
*Created: 2026-01-21*
## Overview
This document outlines the implementation strategy for enhancing the HUMMBL MCP Server based on the NEW architecture (with storage and observability layers).
---
## Suggestion 1: Add Detailed Usage Examples to README
**Goal**: Provide real-world examples for each of the 6 tools to help users understand practical applications.
### Implementation Steps
1. **Update README.md** - Add "Usage Examples" section after "Available Tools"
2. **Create examples for each tool:**
- `get_model` - Example with P1 (First Principles)
- `list_all_models` - Example filtering by transformation
- `search_models` - Example searching for "decision" related models
- `recommend_models` - Example with a complex business problem
- `get_transformation` - Example exploring the IN (Inversion) transformation
- `search_problem_patterns` - Example searching for "innovation" patterns
### Files to Modify
- `README.md` (add new section after line 121)
### Example Format
```markdown
## Usage Examples
### Example 1: Getting a Specific Model
```json
// Request
{
"tool": "get_model",
"arguments": {
"code": "P1"
}
}
// Response
{
"model": {
"code": "P1",
"name": "First Principles Framing",
"definition": "Reduce complex problems to foundational truths...",
"priority": 1,
"transformation": "P"
}
}
```
**When to use**: Starting a new problem analysis by identifying core assumptions.
```
### Time Estimate
- Writing examples: 1-2 hours
- Testing each example: 30 minutes
- Total: ~2.5 hours
### Success Criteria
- [ ] All 6 tools have working examples
- [ ] Examples show realistic use cases
- [ ] Response formats are accurate
- [ ] "When to use" guidance included
---
## Suggestion 2: Document PROBLEM_PATTERNS
**Goal**: Make pre-defined problem patterns discoverable and understandable.
### Current State
- `PROBLEM_PATTERNS` exists in `src/framework/base120.ts` but not documented
- Users can search via `search_problem_patterns` tool but don't know what's available
### Implementation Steps
1. **Extract patterns to documentation**
- Create `docs/problem-patterns.md`
- Document each pattern with:
- Pattern description
- Recommended transformations
- Top models for this pattern
- Example scenarios
2. **Update README**
- Add "Problem Patterns" section linking to docs
- Show how patterns map to transformations
3. **Add pattern enumeration tool** (optional enhancement)
- New tool: `list_all_problem_patterns`
- Returns complete catalog with metadata
### Files to Create/Modify
- `docs/problem-patterns.md` (new file)
- `README.md` (add section after Usage Examples)
- `src/tools/models.ts` (optional: add new tool)
### Documentation Structure
```markdown
# HUMMBL Problem Patterns
## Overview
Pre-defined patterns that map common problem types to recommended mental models.
## Pattern Catalog
### Pattern: Innovation Stagnation
**Description**: Organization stuck in incremental improvements, missing breakthrough opportunities
**Recommended Transformations**:
- IN (Inversion) - What if we stopped doing our core activity?
- CO (Composition) - How can we combine unlike elements?
- P (Perspective) - View from competitor/customer/future lens
**Top Models**:
- IN2: Inversion Thinking
- CO5: Cross-Pollination
- P4: Lens Shifting
**Example Scenarios**:
- Mature product line needs revitalization
- Market disruption threatening business model
- Team producing predictable but uninspired work
```
### Success Criteria
- [ ] All patterns from base120.ts documented
- [ ] Each pattern has real example scenarios
- [ ] Clear guidance on when to apply each pattern
- [ ] README links to pattern documentation
---
## Suggestion 3: Add Guided Workflow Tool
**Goal**: Create a tool that walks users through applying multiple models to a complex problem.
### Architecture Design
This leverages the NEW storage layer for multi-turn workflows.
```typescript
// New tool: apply_guided_workflow
{
"tool": "apply_guided_workflow",
"arguments": {
"problem_description": "Our product launch failed despite positive testing",
"workflow_type": "root_cause_analysis" // or "strategy_design", "decision_making"
}
}
```
### Implementation Steps
1. **Define workflow templates** in `src/framework/workflows.ts`
```typescript
export interface WorkflowStep {
stepNumber: number;
transformation: TransformationType;
models: string[]; // Model codes to apply
prompt: string; // Guidance for this step
expectedOutput: string; // What should result from this step
}
export interface WorkflowTemplate {
name: string;
description: string;
problemTypes: string[];
steps: WorkflowStep[];
}
```
2. **Create initial workflow templates**
- Root Cause Analysis (P → IN → DE)
- Strategy Design (P → CO → SY)
- Decision Making (P → IN → RE)
3. **Add workflow execution tool** in `src/tools/workflows.ts`
- Registers new MCP tool: `apply_guided_workflow`
- Uses SessionManager to track workflow state
- Returns step-by-step guidance
4. **Track workflow progress** using storage layer
- Store current step in session.domainState
- Allow resuming interrupted workflows
- Log workflow completion for analytics
### Files to Create/Modify
- `src/framework/workflows.ts` (new file)
- `src/tools/workflows.ts` (new file)
- `src/server.ts` (register new tool)
- `src/types/domain.ts` (add workflow types)
### Workflow Example
```typescript
// Step 1 response
{
"workflow": "root_cause_analysis",
"currentStep": 1,
"totalSteps": 4,
"transformation": "P",
"guidance": "First, frame the problem from multiple perspectives...",
"suggestedModels": ["P1", "P2", "P4"],
"questions": [
"What are the foundational assumptions about product-market fit?",
"Who are all the stakeholders affected by this failure?",
"What lens are we NOT looking through?"
],
"nextAction": "Apply these models and share insights"
}
```
### Success Criteria
- [ ] At least 3 workflow templates implemented
- [ ] Workflow state persists in sessions
- [ ] Clear step-by-step guidance provided
- [ ] Users can resume interrupted workflows
- [ ] Metrics track workflow completion rates
---
## Suggestion 4: Add Opt-in Telemetry
**Goal**: Understand which models are most valuable to users to inform future development.
### Privacy & Ethics First
- **Opt-in only** - users must explicitly enable
- **Anonymized data** - no PII collected
- **Transparent** - clear documentation of what's tracked
- **User benefit** - show users their own usage patterns
### Architecture Design
Leverage existing observability infrastructure (metrics.ts).
### Implementation Steps
1. **Add telemetry configuration**
```typescript
// src/observability/telemetry.ts (new file)
export interface TelemetryConfig {
enabled: boolean;
userId?: string; // Optional identifier (could be hash)
endpoint?: string; // Where to send data
}
export interface TelemetryEvent {
eventType: 'model_accessed' | 'tool_called' | 'workflow_completed';
timestamp: string;
modelCode?: string;
toolName?: string;
workflowName?: string;
sessionId: string;
}
```
2. **Track key metrics**
- Model access frequency (which models get queried)
- Search query patterns (what problems users describe)
- Workflow completion rates
- Tool usage distribution
3. **Add telemetry tool** for users to view their data
```typescript
// New tool: get_my_usage_stats
{
"tool": "get_my_usage_stats",
"arguments": {
"time_period": "last_30_days"
}
}
```
4. **Enable/disable via environment**
```bash
HUMMBL_TELEMETRY_ENABLED=true
HUMMBL_TELEMETRY_ENDPOINT=https://telemetry.hummbl.io
```
5. **Update README with telemetry disclosure**
### Files to Create/Modify
- `src/observability/telemetry.ts` (new file)
- `src/tools/telemetry.ts` (new file)
- `src/server.ts` (initialize telemetry if enabled)
- `README.md` (add Privacy & Telemetry section)
- `.env.example` (add telemetry config)
### Data Structure
```typescript
// Aggregated telemetry (what gets sent)
{
"period": "2026-01-21T00:00:00Z",
"sessionCount": 45,
"modelAccess": {
"P1": 120, // First Principles most accessed
"IN2": 87, // Inversion second
"CO3": 56
},
"topSearches": [
{ "query": "decision making", "count": 23 },
{ "query": "innovation", "count": 18 }
],
"workflowCompletions": {
"root_cause_analysis": 12,
"strategy_design": 8
}
}
```
### User Benefits
- See which models they use most
- Discover underutilized models that might help
- Track their learning progress through the framework
- Compare usage patterns (anonymously) with community
### Success Criteria
- [ ] Telemetry is opt-in with clear documentation
- [ ] No PII collected
- [ ] Users can view their own usage stats
- [ ] Aggregated data informs framework improvements
- [ ] Clear privacy policy in README
---
## Implementation Priority
### Phase 1 (Immediate - 1-2 days)
1. ✅ Suggestion 1: Usage Examples (high impact, low effort)
2. ✅ Suggestion 2: Document Problem Patterns (high value, medium effort)
### Phase 2 (Near-term - 1 week)
3. ✅ Suggestion 3: Guided Workflows (high impact, requires storage layer testing)
### Phase 3 (Future - 2 weeks)
4. ✅ Suggestion 4: Opt-in Telemetry (valuable but requires careful implementation)
---
## Dependencies
### Existing Infrastructure (Already Built ✅)
- Storage layer (SessionManager, HistoryManager)
- Observability (Logger, Metrics, Tracing)
- Type safety (Zod schemas, TypeScript strict)
### New Dependencies Needed
- None! All suggestions build on existing infrastructure
---
## Testing Strategy
### For Each Suggestion
1. Unit tests for new functions
2. Integration tests with MCP protocol
3. End-to-end tests in Claude Desktop
4. Documentation validation
### Test Files to Create
- `src/__tests__/workflows.test.ts` (Suggestion 3)
- `src/__tests__/telemetry.test.ts` (Suggestion 4)
---
## Rollout Strategy
1. **Branch strategy**
- `feature/usage-examples` (Suggestion 1)
- `feature/problem-patterns-docs` (Suggestion 2)
- `feature/guided-workflows` (Suggestion 3)
- `feature/telemetry` (Suggestion 4)
2. **Version bumps**
- Suggestions 1-2: Patch version (1.0.0-beta.3)
- Suggestion 3: Minor version (1.1.0-beta.1)
- Suggestion 4: Minor version (1.2.0-beta.1)
3. **User communication**
- Update CHANGELOG.md for each suggestion
- Add migration guides if needed
- Announce new features in README
---
## Success Metrics
### Quantitative
- [ ] README examples lead to 50% reduction in support questions
- [ ] Problem patterns documentation accessed by 80% of users
- [ ] Guided workflows show 70% completion rate
- [ ] Telemetry opt-in rate above 30%
### Qualitative
- [ ] User feedback indicates easier onboarding
- [ ] Developers can create new workflows without assistance
- [ ] Users report discovering relevant models they didn't know existed
- [ ] Privacy approach builds trust
---
## Next Steps
1. Review this plan with stakeholders
2. Create GitHub issues for each suggestion
3. Set up feature branches
4. Begin Phase 1 implementation (Examples + Patterns)
5. Iterate based on early user feedback
---
*This plan leverages the NEW architecture with storage and observability. The foundational work is done—these enhancements build on that solid base.*
