# MCP Prompts Usage Examples
## Overview
This guide provides practical examples of using the TAM MCP Server's business analysis prompts in real-world scenarios.
## Example Workflows
### 1. Startup Investment Analysis
**Scenario**: VC firm evaluating a Series A investment in a FinTech startup
**Steps**:
1. Use `startup-funding-analysis` prompt
2. Gather supporting data with TAM tools
3. Generate investment committee presentation
**Example Usage**:
```typescript
// Get startup analysis prompt
const prompt = await client.request({
method: "prompts/get",
params: {
name: "startup-funding-analysis",
arguments: {
company_name: "PaymentCorp",
funding_stage: "Series A",
industry: "FinTech",
funding_amount: "$15M",
use_of_funds: "Product development and market expansion"
}
}
});
// Follow up with market data
const marketData = await client.request({
method: "tools/call",
params: {
name: "tam-calculator",
arguments: {
industry: "FinTech",
geographic_scope: "North America"
}
}
});
```
**Output**: Professional investment analysis template including:
- Executive Summary
- Market Size Analysis
- Competitive Landscape
- Financial Projections
- Risk Assessment
- Investment Recommendation
### 2. Crisis Management Response
**Scenario**: Technology company facing supply chain disruption
**Steps**:
1. Use `crisis-management-analysis` prompt
2. Assess regulatory impact
3. Develop stakeholder communication
**Example Usage**:
```typescript
// Crisis analysis prompt
const crisisPrompt = await client.request({
method: "prompts/get",
params: {
name: "crisis-management-analysis",
arguments: {
crisis_type: "Supply chain disruption",
affected_areas: "Manufacturing, product delivery, customer fulfillment",
timeline: "Immediate impact, 3-6 month resolution",
stakeholders: "Customers, suppliers, investors, employees",
resources_available: "Emergency fund, alternative suppliers, crisis team"
}
}
});
// Follow up with economic impact data
const economicData = await client.request({
method: "tools/call",
params: {
name: "fred-economic-series",
arguments: {
series_id: "INDPRO"
}
}
});
```
### 3. Market Opportunity Assessment
**Scenario**: Corporate development team evaluating international expansion
**Steps**:
1. Use `market-opportunity-scan` prompt
2. Get demographic and economic data
3. Assess competitive landscape
**Example Usage**:
```typescript
// Market opportunity prompt
const opportunityPrompt = await client.request({
method: "prompts/get",
params: {
name: "market-opportunity-scan",
arguments: {
market_segment: "SaaS productivity tools",
geographic_scope: "European Union",
opportunity_type: "Geographic expansion",
assessment_urgency: "Q2 strategic planning cycle",
resource_constraints: "$5M expansion budget"
}
}
});
// Get supporting market data
const demographicData = await client.request({
method: "tools/call",
params: {
name: "world-bank-indicators",
arguments: {
country: "DEU",
indicator: "NY.GDP.PCAP.CD"
}
}
});
```
## Integration Patterns
### Pattern 1: Prompt → Data → Analysis
```mermaid
graph LR
A[Select Prompt] --> B[Generate Template]
B --> C[Gather Data]
C --> D[Complete Analysis]
D --> E[Present Findings]
```
**Use Cases**: Investment analysis, market research, strategic planning
### Pattern 2: Crisis → Assess → Respond
```mermaid
graph LR
A[Crisis Event] --> B[Crisis Prompt]
B --> C[Impact Assessment]
C --> D[Response Plan]
D --> E[Stakeholder Communication]
```
**Use Cases**: Crisis management, regulatory response, risk mitigation
### Pattern 3: Opportunity → Evaluate → Decide
```mermaid
graph LR
A[Market Opportunity] --> B[Scan Prompt]
B --> C[Data Collection]
C --> D[Evaluation]
D --> E[Go/No-Go Decision]
```
**Use Cases**: Business development, expansion planning, product strategy
## Best Practices by Role
### For Investment Professionals
**Recommended Prompts**:
- `startup-funding-analysis`
- `pe-research-analysis`
- `vc-investment-thesis`
- `investment-screening-framework`
**Workflow**:
1. Start with screening framework
2. Use detailed analysis prompts for promising opportunities
3. Gather supporting data with market tools
4. Present with professional templates
**Tips**:
- Include deal size and stage in all analyses
- Use optional parameters for richer context
- Combine prompts with real-time market data
### For Corporate Strategy Teams
**Recommended Prompts**:
- `corporate-strategy-analysis`
- `market-opportunity-scan`
- `competitive-intelligence-brief`
- `international-expansion-analysis`
**Workflow**:
1. Define strategic objective
2. Select appropriate analysis framework
3. Gather market intelligence
4. Develop strategic recommendations
**Tips**:
- Focus on market context and competitive positioning
- Use economic data to support strategic assumptions
- Include timeline and success metrics
### For Crisis Management Teams
**Recommended Prompts**:
- `crisis-management-analysis`
- `regulatory-impact-analysis`
- `technology-disruption-analysis`
**Workflow**:
1. Assess crisis scope and impact
2. Generate response framework
3. Develop stakeholder communications
4. Monitor and adjust response
**Tips**:
- Include all affected stakeholders
- Define clear timelines and resource constraints
- Update analysis as situation evolves
### For Business Development
**Recommended Prompts**:
- `market-opportunity-scan`
- `competitive-intelligence-brief`
- `international-expansion-analysis`
**Workflow**:
1. Identify potential opportunities
2. Conduct rapid market assessment
3. Evaluate competitive landscape
4. Prioritize opportunities
**Tips**:
- Use geographic and market segment filters
- Include resource constraints in analysis
- Combine with demographic and economic data
## Common Integration Scenarios
### Scenario 1: Board Presentation Preparation
**Challenge**: Preparing strategic analysis for board meeting
**Solution**:
```typescript
// Use corporate strategy prompt
const strategyAnalysis = await getPrompt("corporate-strategy-analysis", {
company_name: "TechCorp",
strategic_initiative: "AI platform development",
market_context: "Rapid AI adoption across industries",
timeline: "18-month development cycle",
success_metrics: "Market share, revenue growth, customer adoption"
});
// Support with market data
const marketSize = await callTool("tam-calculator", {
industry: "Artificial Intelligence",
geographic_scope: "Global"
});
```
### Scenario 2: Due Diligence Support
**Challenge**: Comprehensive investment analysis for PE deal
**Solution**:
```typescript
// Primary analysis
const peAnalysis = await getPrompt("pe-research-analysis", {
target_company: "ManufacturingCorp",
industry: "Industrial Manufacturing",
deal_size: "$250M",
investment_thesis: "Operational efficiency and market consolidation",
exit_strategy: "Strategic sale in 5-7 years"
});
// Industry context
const industryData = await callTool("census-county-business-patterns", {
industry_code: "31-33"
});
```
### Scenario 3: Competitive Intelligence
**Challenge**: Understanding competitive landscape for new product launch
**Solution**:
```typescript
// Competitive analysis
const competitiveAnalysis = await getPrompt("competitive-intelligence-brief", {
competitor_focus: "Top 3 SaaS competitors",
analysis_scope: "Product features, pricing, market positioning",
intelligence_priority: "Product roadmap and go-to-market strategy",
decision_context: "New product launch planning"
});
// Market positioning data
const marketData = await callTool("alpha-vantage-company-overview", {
symbol: "CRM"
});
```
## Error Handling and Troubleshooting
### Common Issues
1. **Missing Required Parameters**
```typescript
// ❌ Error - missing required parameter
const prompt = await getPrompt("startup-funding-analysis", {
company_name: "StartupX"
// Missing: funding_stage, industry
});
// ✅ Correct - all required parameters
const prompt = await getPrompt("startup-funding-analysis", {
company_name: "StartupX",
funding_stage: "Seed",
industry: "HealthTech"
});
```
2. **Invalid Prompt Names**
```typescript
// ❌ Error - typo in prompt name
const prompt = await getPrompt("startup-funding", {
// Invalid prompt name
});
// ✅ Correct - exact prompt name
const prompt = await getPrompt("startup-funding-analysis", {
company_name: "StartupX",
funding_stage: "Seed",
industry: "HealthTech"
});
```
3. **Parameter Validation**
```typescript
// ❌ Error - inappropriate parameter value
const prompt = await getPrompt("crisis-management-analysis", {
crisis_type: "", // Empty string
affected_areas: "Unknown",
timeline: "Sometime"
});
// ✅ Correct - specific, actionable parameters
const prompt = await getPrompt("crisis-management-analysis", {
crisis_type: "Cybersecurity breach",
affected_areas: "Customer data, payment systems, operations",
timeline: "Immediate response required, 2-week resolution target"
});
```
## Advanced Usage
### Prompt Chaining
Combine multiple prompts for comprehensive analysis:
```typescript
// 1. Initial opportunity scan
const opportunityScan = await getPrompt("market-opportunity-scan", {
market_segment: "Electric Vehicles",
geographic_scope: "North America",
opportunity_type: "Market entry"
});
// 2. Detailed strategic analysis
const strategyAnalysis = await getPrompt("corporate-strategy-analysis", {
company_name: "AutoCorp",
strategic_initiative: "EV market entry",
market_context: "Rapid EV adoption, regulatory support",
timeline: "3-year market entry plan"
});
// 3. Competitive intelligence
const competitiveAnalysis = await getPrompt("competitive-intelligence-brief", {
competitor_focus: "Tesla, GM, Ford EV divisions",
analysis_scope: "Market share, technology, pricing strategy",
intelligence_priority: "Competitive positioning opportunities"
});
```
### Dynamic Parameter Generation
Use data from tools to inform prompt parameters:
```typescript
// Get current economic indicators
const gdpData = await callTool("fred-economic-series", {
series_id: "GDP"
});
// Use economic context in analysis
const crisisAnalysis = await getPrompt("crisis-management-analysis", {
crisis_type: "Economic downturn",
affected_areas: "Revenue, customer demand, supply chain",
timeline: "Current recession indicators suggest 12-18 month impact",
market_context: `Current GDP: ${gdpData.value}, trend: ${gdpData.trend}`
});
```
## Performance Optimization
### Efficient Prompt Usage
1. **Cache Frequently Used Templates**
```typescript
// Cache common prompt templates
const promptCache = new Map();
async function getCachedPrompt(name, args) {
const key = `${name}-${JSON.stringify(args)}`;
if (promptCache.has(key)) {
return promptCache.get(key);
}
const prompt = await getPrompt(name, args);
promptCache.set(key, prompt);
return prompt;
}
```
2. **Batch Parameter Validation**
```typescript
// Validate all parameters before making requests
function validatePromptParameters(promptName, args) {
const promptDef = getPromptDefinition(promptName);
const missingRequired = promptDef.arguments
.filter(arg => arg.required && !args[arg.name])
.map(arg => arg.name);
if (missingRequired.length > 0) {
throw new Error(`Missing required parameters: ${missingRequired.join(', ')}`);
}
}
```
3. **Parallel Data Collection**
```typescript
// Collect supporting data in parallel
const [promptResult, marketData, competitorData] = await Promise.all([
getPrompt("competitive-intelligence-brief", params),
callTool("tam-calculator", marketParams),
callTool("alpha-vantage-company-overview", competitorParams)
]);
```
## Next Steps
- **Practice**: Try different prompt combinations for your use cases
- **Customize**: Adapt prompt parameters to your specific context
- **Integrate**: Combine prompts with data tools for comprehensive analysis
- **Scale**: Build workflows that leverage multiple prompts and data sources
## Related Documentation
- [MCP Prompts Guide](mcp-prompts-guide.md) - Complete prompt reference
- [Tools Guide](tools-guide.md) - Data collection tools
- [MCP Integration Guide](mcp-integration.md) - Technical setup
- [Examples & Tutorials](examples.md) - Additional examples
