Cursor MCP Tool Examples

What MCP tools do I have access to?

Extract information from this LinkedIn profile:
https://linkedin.com/in/satyanadella

Focus on:
- Current role and company
- Career progression
- Education background

I'm building a lead enrichment feature. Extract data from this LinkedIn profile
and suggest a TypeScript interface based on the available data:
https://linkedin.com/in/example-profile

Using the LinkedIn data structure we just saw, create a TypeScript service
that fetches and transforms LinkedIn data for our CRM.
Include error handling and rate limiting.

Test the service by extracting data from these profiles:
- linkedin.com/in/profile1
- linkedin.com/in/profile2
Validate that the response matches our interface.

my-competitor-tool/
├── .cursor/
│   └── mcp.json          # MCP configuration
├── src/
│   ├── analyzers/
│   │   └── company.ts
│   └── types/
│       └── linkedin.ts
└── package.json

I'm building a competitor analysis tool. For these companies:
- https://linkedin.com/company/competitor1
- https://linkedin.com/company/competitor2

Extract:
1. Employee count and growth
2. Recent job postings
3. Key executives

Then generate TypeScript code to fetch and compare this data periodically.

I'm building a lead scoring system. For this LinkedIn profile:
https://linkedin.com/in/potential-lead

Extract relevant data and suggest scoring criteria based on:
- Seniority level
- Company size
- Industry relevance
- Engagement signals

Then create a TypeScript function that scores leads.

I need to fetch LinkedIn company data dynamically in my Node.js app.
Extract sample data from https://linkedin.com/company/target-company
and create an API endpoint that returns this structure.

// src/api/company.ts
import { Router } from 'express';

interface LinkedInCompany {
  name: string;
  industry: string;
  size: string;
  location: string;
  description: string;
  employeeCount: number;
  // ... based on extracted data
}

const router = Router();

router.get('/company/:slug', async (req, res) => {
  const { slug } = req.params;

  // MCP tool integration would go here
  const companyData = await fetchLinkedInCompany(slug);

  res.json(companyData);
});

export default router;

Compare this TypeScript interface with actual LinkedIn profile data:

interface UserProfile {
  name: string;
  headline: string;
  location: string;
  experience: Experience[];
}

Extract data from linkedin.com/in/test-profile and identify any missing fields.

Extract real data from these profiles:
- linkedin.com/in/engineer-profile
- linkedin.com/in/manager-profile
- linkedin.com/in/executive-profile

Generate TypeScript test fixtures that represent typical data variations.

Research this person comprehensively:
- LinkedIn: linkedin.com/in/target-person
- Instagram: @target_person (if available)
- Reddit activity: u/target_person

Compile a unified profile and identify patterns in their online presence.

For competitive intelligence, analyze:

1. Company LinkedIn: linkedin.com/company/competitor
2. Recent Reddit mentions: search "competitor name" in r/industry

Generate a monitoring report and suggest React components to display this data.

Extract the full data structure from linkedin.com/in/sample-profile
and generate:
1. TypeScript interfaces for all data types
2. A complete API client class
3. Zod validation schemas
4. Jest test cases with the real data as fixtures

Based on LinkedIn company data from linkedin.com/company/example:

Generate:
1. Prisma schema for storing this data
2. Database migrations
3. CRUD operations

Using the LinkedIn profile data structure, generate:
1. JSDoc comments for each field
2. API documentation in OpenAPI format
3. README with usage examples

My API is supposed to return LinkedIn-like data. Here's what I'm getting:
[paste your API response]

Compare this to actual LinkedIn data from linkedin.com/in/test-profile
and identify discrepancies.

I'm transforming LinkedIn data but getting unexpected results.

Here's my transformer:
[paste your code]

Fetch fresh data from linkedin.com/in/test-profile and show me
step-by-step how it should be transformed.

I need to process 100 LinkedIn profiles. Design a system that:
1. Handles rate limiting
2. Implements retry logic
3. Caches results
4. Reports progress

Start by extracting sample data from these profiles:
- linkedin.com/in/profile1
- linkedin.com/in/profile2
- linkedin.com/in/profile3

Design an event-driven system for LinkedIn data updates:

1. Fetch initial data from linkedin.com/company/target
2. Create event types for data changes
3. Implement change detection
4. Generate notification handlers

Show me the TypeScript implementation.

I'm building an ETL pipeline for LinkedIn data. Design:

1. Extraction layer (using MCP tools)
2. Transformation layer (normalize data)
3. Loading layer (to PostgreSQL)

Include error handling and monitoring.
Demonstrate with data from linkedin.com/company/example

Before I design my database schema, show me the actual data structure
from linkedin.com/in/representative-profile

Step 1: Show me LinkedIn profile data structure
Step 2: Generate TypeScript interface
Step 3: Create fetch function
Step 4: Add error handling
Step 5: Test with 3 different profiles

For my LinkedIn integration tests, I need:
1. Mock data based on real responses (extract from linkedin.com/in/test)
2. Edge case handling (empty profiles, private accounts)
3. Error simulation (rate limits, network failures)

Generate comprehensive test suite.

// Ask Cursor to generate based on real data extraction
class ProfileEnrichmentService {
  async enrich(linkedinUrl: string): Promise<EnrichedProfile> {
    // Implementation with MCP tool integration
  }
}

Extract data from linkedin.com/in/sample-profile and complete
this ProfileEnrichmentService class with proper typing and error handling.

Design a React dashboard that displays:
1. Company overview (extract from linkedin.com/company/target)
2. Employee growth chart
3. Recent updates timeline
4. Key people section

Generate components with TailwindCSS styling.

Build a lead qualification workflow that:
1. Takes a LinkedIn URL input
2. Extracts profile data
3. Scores based on criteria
4. Returns qualification result

Test with linkedin.com/in/potential-lead