leetcode-problem-fetcher

A specialized skill for fetching and parsing LeetCode problems with complete metadata, suitable for competitive programming practice, interview preparation, and algorithm learning workflows.

Purpose

Extract comprehensive problem data from LeetCode including:

• Problem statements and descriptions
• Input/output constraints and formats
• Test cases and hidden constraints
• Problem difficulty, tags, and acceptance rate
• Related problems and pattern tags
• Hints and solution approaches

Capabilities

Core Features

1. Problem Retrieval

   • Fetch problems by title slug (URL-friendly name)
   • Retrieve daily challenge problems
   • Search problems by category, tags, difficulty, or keywords
   • Access premium problem alternatives when available

2. Metadata Extraction

   • Difficulty level (Easy, Medium, Hard)
   • Acceptance rate and submission statistics
   • Problem tags and categories
   • Related problems and similar questions
   • Company tags (when available)

3. Content Parsing

   • Problem description in markdown format
   • Input/output examples with explanations
   • Constraints and edge cases
   • Follow-up questions and optimizations
   • Code templates for multiple languages

4. User Data Access

   • User profile and statistics
   • Contest ranking and history
   • Submission history and solutions
   • Progress tracking across problem sets

Integration Options

MCP Server (Recommended)

# Install LeetCode MCP Server by jinzcdev
claude mcp add-json "leetcode" '{"type":"stdio","command":"npx","args":["-y","@jinzcdev/leetcode-mcp-server","--site","global"]}'

Available MCP Tools:

• get_daily_challenge - Fetch daily LeetCode challenge
• get_problem - Retrieve problem by titleSlug
• search_problems - Filter by category, tags, difficulty, keywords
• get_user_profile - Access user data
• get_user_contest_ranking - Track contest performance

Direct API Integration

// GraphQL endpoint for LeetCode
const LEETCODE_GRAPHQL = 'https://leetcode.com/graphql';

// Query for problem details
const problemQuery = `
  query getProblem($titleSlug: String!) {
    question(titleSlug: $titleSlug) {
      questionId
      title
      titleSlug
      content
      difficulty
      topicTags { name slug }
      hints
      sampleTestCase
      codeSnippets { lang code }
      stats
    }
  }
`;

Browser Extension

Competitive Companion - Parses problems from LeetCode and 115+ other online judges:

• Chrome: competitive-companion
• Firefox: competitive-companion

Usage

Fetch a Problem

# Using MCP Server
leetcode get_problem --titleSlug "two-sum"

# Output includes:
# - Problem title and description
# - Difficulty and acceptance rate
# - Topic tags
# - Examples and constraints
# - Code templates

Search Problems

# Search by difficulty and tags
leetcode search_problems --difficulty MEDIUM --tags "dynamic-programming,array"

# Search by keyword
leetcode search_problems --keyword "substring"

Get Daily Challenge

# Fetch today's daily challenge
leetcode get_daily_challenge

Output Schema

{
  "problem": {
    "id": "string",
    "title": "string",
    "titleSlug": "string",
    "difficulty": "Easy|Medium|Hard",
    "acceptanceRate": "number",
    "description": "string (markdown)",
    "constraints": ["string"],
    "examples": [
      {
        "input": "string",
        "output": "string",
        "explanation": "string"
      }
    ],
    "hints": ["string"],
    "topicTags": ["string"],
    "similarQuestions": ["string"],
    "codeTemplates": {
      "python3": "string",
      "cpp": "string",
      "java": "string"
    }
  },
  "metadata": {
    "fetchedAt": "ISO8601 timestamp",
    "source": "leetcode.com|leetcode.cn"
  }
}

Integration with Processes

This skill enhances the following processes:

• leetcode-problem-solving - Core problem-solving workflow
• pattern-recognition - Identifying algorithmic patterns
• faang-interview-prep - FAANG interview preparation

References

• LeetCode MCP Server (jinzcdev)
• LeetCode MCP Server (doggybee)
• Competitive Companion
• Competitive Programming Helper (CPH)

Error Handling

Best Practices

1. Caching: Cache problem data to reduce API calls
2. Rate Limiting: Respect LeetCode's rate limits (use delays between requests)
3. Error Handling: Gracefully handle premium/locked problems
4. Offline Mode: Store fetched problems for offline practice
5. Data Freshness: Re-fetch periodically for updated statistics