IP Contingency MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@IP Contingency MCP ServerAnalyze ownership gaps for our China patents"
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.
IP Contingency MCP Server
Intelligent analysis server for IP assignment compliance. Provides AI-powered insights on IP ownership gaps.
Tools
analyzeGaps - Identify patterns in IP ownership gaps
recommendActions - Get specific actions for resolving gaps
detectAnomalies - Find red flags and unusual patterns
generateAdvisory - Generate executive compliance reports
rankPriorities - Intelligently rank gaps by urgency
queryAssignments - Natural language search
checkCompliance - Validate against jurisdiction rules
predictRisk - Predict likely outcomes
Related MCP server: AI Compliance Calendar MCP Server
Architecture
src/
├── index.ts # Main server entry
├── tools/ # Intelligence tools (8 tools)
├── prompts/ # System prompts for each tool
├── utils/ # Utilities (LLM client, data formatters)
└── types/ # TypeScript interfacesInstallation
npm install
cp .env.example .env
# Add your ANTHROPIC_API_KEY to .envDevelopment
npm run build
npm run devUsage Example
import { processTool } from './src/index.js';
const gaps = [
{
id: "gap1",
personName: "John Doe",
personRole: "EMPLOYEE",
assetType: "PATENT",
jurisdiction: "CN",
riskScore: 85,
riskLevel: "HIGH",
daysOverdue: 120,
// ... other fields
}
];
const result = await processTool({
tool: 'analyzeGaps',
input: { gaps }
});
console.log(result.data);Integration with IP Contingency Tracker
The MCP server provides intelligence endpoints that the main app calls:
GET /api/v1/intelligence/analyze-gaps→ callsanalyzeGapsGET /api/v1/intelligence/recommendations→ callsrecommendActionsGET /api/v1/intelligence/anomalies→ callsdetectAnomaliesetc.
Modular Design
Each tool is:
Independent - Can be used separately
Testable - Has clear inputs/outputs
Reusable - Can be called from multiple places
Typed - Full TypeScript support
Tool Categories
Pattern Analysis
analyzeGaps
detectAnomalies
rankPriorities
Recommendations
recommendActions
generateAdvisory
predictRisk
Search & Validation
queryAssignments
checkCompliance
This server cannot be deployed
Maintenance
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