LeetCode MCP Server

The LeetCode MCP Server bridges the gap between AI assistants and LeetCode’s extensive problem library, contest archive, and user analytics. By exposing a Model Context Protocol interface, it allows Claude or other MCP‑compatible agents to query problem details, retrieve editorial explanations, and access a user’s submission history—all without the assistant needing direct web‑scraping or manual API calls. This server transforms static coding challenges into dynamic, conversational resources that can be leveraged in real‑time tutoring or interview preparation workflows.

Developers benefit from a single, well‑documented endpoint that supports both the global LeetCode.com site and the China‑specific leetcode.cn platform. The server’s API surface includes rich problem metadata—such as constraints, examples, and editorial insights—as well as user‑centric data like profile statistics and contest performance. For authenticated sessions, the server also offers private features: creating personal notes, tracking problem‑solving progress, and analyzing accepted versus wrong‑answer submissions. These capabilities empower AI assistants to offer personalized study plans, recommend targeted practice sets, and provide actionable feedback based on a user’s historical data.

Key features are delivered through intuitive MCP resources. Advanced search functions let assistants filter problems by tags, difficulty levels, and categories, enabling context‑aware recommendations during a conversation. Daily challenge access is exposed as a ready‑to‑use resource, allowing an assistant to fetch the current “Daily Challenge” problem and generate hints or solutions on demand. The server’s multi‑site support ensures that users in different regions receive accurate data, while the optional session cookie authentication unlocks private endpoints for a fully personalized experience.

In real‑world scenarios, this MCP server is invaluable for coding bootcamps, interview coaching platforms, and AI‑powered learning tools. An assistant can walk a learner through the solution to a specific problem, pull up the official editorial for deeper insight, and then suggest follow‑up problems that align with the learner’s progress. For competitive programmers, the server can automatically aggregate contest results and highlight improvement areas, enabling data‑driven training regimens. By integrating seamlessly into existing MCP workflows—whether via VS Code extensions, command‑line clients, or custom scripts—the LeetCode MCP Server turns static coding content into an interactive, AI‑enhanced learning ecosystem.