algo-coach-mcp

algo-coach-mcp

Interactive algorithm coach MCP server that provides guided practice, local code execution, and real-world engineering case mapping for 45 algorithm topics.

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README

algo-coach-mcp

npm version License: MIT

Interactive algorithm coach MCP server with 3000+ LeetCode problems, bilingual descriptions (Chinese/English), local code testing, and real-world engineering case mapping.

Features

  • 3000+ Problems — Full LeetCode free problem database with bilingual descriptions
  • 12 Topic Categories — Array, Linked List, Hash Table, String, Two Pointers, Stack/Queue, Binary Tree, Backtracking, Greedy, DP, Monotonic Stack, Graph
  • Local Code Execution — Run and test your Python solutions locally, no online judge needed
  • Progressive Hints — 4-level hint system: direction -> approach -> pseudocode -> full solution
  • Real-World Cases — See how algorithms apply in production systems (Redis, Kafka, React, etc.)
  • 3 Practice Modes — Student (guided), Interview (timed), Engineering (system design focus)
  • LeetCode Sync — Built-in script to fetch and update problems from LeetCode API

Quick Start

Use with Claude Code (Recommended)

One command setup — no local installation needed:

claude mcp add --transport stdio algo-coach -- npx -y --registry https://registry.npmjs.org/ algo-coach-mcp@latest

Restart Claude Code, then start practicing.

Use with other MCP clients

Add to your MCP configuration:

{
  "mcpServers": {
    "algo-coach": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "--registry", "https://registry.npmjs.org/", "algo-coach-mcp@latest"]
    }
  }
}

Available MCP Tools

Tool Description
pick_problem Pick a random problem by topic/difficulty
get_solution Get solution code and key points
get_theory Get theoretical fundamentals for a topic
get_real_world_cases Real-world engineering applications of an algorithm
generate_test_cases Generate boundary test cases for a problem
run_user_code Execute Python code against tests locally
get_topic_roadmap Get the learning progression

Topics

# Topic Description
1 Array (数组) Binary search, two pointers, sliding window
2 Linked List (链表) Reversal, cycle detection, merge
3 Hash Table (哈希表) Lookup, grouping, counting
4 String (字符串) Matching, parsing, manipulation
5 Two Pointers (双指针) Fast-slow, left-right, sliding window
6 Stack & Queue (栈与队列) Monotonic queue, expression parsing
7 Binary Tree (二叉树) Traversal, construction, BST
8 Backtracking (回溯) Permutations, combinations, subsets
9 Greedy (贪心) Interval scheduling, optimization
10 Dynamic Programming (动态规划) Knapsack, subsequence, state machines
11 Monotonic Stack (单调栈) Next greater element, histogram
12 Graph (图论) BFS, DFS, union-find, topological sort

LeetCode Sync

Fetch all free problems from LeetCode with bilingual descriptions:

npm run sync                  # Full sync (~3000 problems, ~50 min)
npm run sync -- --limit 100   # Sync first 100 problems
npm run sync:resume           # Resume interrupted sync

Features: checkpoint/resume, rate limiting (2 req/s), retry logic, bilingual (CN + EN).

Development

npm install
npm run dev        # Run with tsx (hot reload)
npm run sync       # Sync problems from LeetCode
npm run build      # Build for production
npm test           # Run tests

Architecture

src/
├── index.ts           # MCP server entry (stdio transport)
├── paths.ts           # Package root resolution
├── types.ts           # Shared type definitions
├── content/           # Content indexing and parsing
├── sync/              # LeetCode API sync pipeline
├── testgen/           # Test case generation
├── executor/          # Python subprocess runner
├── cases/             # Real-world case loader
├── tools/             # MCP tool implementations
└── resources/         # MCP resource handlers

License

MIT

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