Leetcode MCP Server vs PAPI: Persistent Adaptive Planning Intelligence
A side-by-side look at the Leetcode MCP Server and PAPI: Persistent Adaptive Planning Intelligence MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Leetcode MCP Server for coding agents work as a local process; choose PAPI: Persistent Adaptive Planning Intelligence for coding agents over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Leetcode MCP Server when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You want tools like
get_daily_challenge, get_problem, search_problems.
Choose PAPI: Persistent Adaptive Planning Intelligence when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
orient, setup, plan.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Coding Agents | Coding Agents |
| Quality signal | 69/100 · Great | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | other | Not declared |
| Pricing | Free | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 155 | 11 |
| Directory activity | 8 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 9 | 15 |
| Full listing | View Leetcode MCP Server | View PAPI: Persistent Adaptive Planning Intelligence |
Tools & capabilities
Leetcode MCP Server tools 9
get_daily_challengeRetrieves today's Daily Challenge problem with full description (read-only, no auth). Returns problem details for the current date as JSON. Use get_problem when you know a specific titleSlug; use search_problems to discover problems by filters.get_problemRetrieves a single LeetCode problem by titleSlug (read-only, no auth). Returns description, examples, constraints, and metadata as JSON. Use search_problems to find problems by keyword/tag/difficulty; use get_daily_challenge for today's featured problem.search_problemsSearches LeetCode problems by category, tags, difficulty, and keywords (read-only, no auth). Supports pagination via limit/offset. Returns matching problem list as JSON. Use get_problem when you already know the titleSlug; use this to browse or discover problems.get_user_profileRetrieves any user's public profile by username (read-only, no auth). Returns ranking, avatar, bio, submission stats, and platform-specific progress. Use this to look up other users or public stats. Use get_user_status (requires auth) instead to verify the current session user's login state—not for looking up arbitrary users.get_recent_submissionsRetrieves a user's recent submission history on LeetCode Global (read-only, no auth). Includes both accepted and failed submissions. Global only—not available on CN. Use get_recent_ac_submissions for accepted-only results, or get_all_submissions (auth, current user) for paginated full history with filters.get_recent_ac_submissionsRetrieves a user's recent accepted (AC) submissions (read-only, no auth). Available on both Global and CN. Use get_recent_submissions (Global only) to include failed attempts, or get_all_submissions (auth, current user) for full paginated history.get_user_contest_rankingRetrieves a user's contest ranking and participation history (read-only, no auth). Returns overall rating, ranking, and per-contest performance as JSON. Use get_user_profile for general stats and ranking; use this specifically for contest performance data.list_problem_solutionsLists community solution articles for a problem (read-only, no auth). Returns metadata only (topicId)—not full content. Use get_problem_solution with the returned topicId to read the full article. Do not call this when you already have a topicId and need the solution text.get_problem_solutionRetrieves full content of a community solution article (read-only, no auth). Requires topicId from list_problem_solutions. Returns article text, author, and metadata as JSON. Use list_problem_solutions first to discover solutions and obtain topicId.
PAPI: Persistent Adaptive Planning Intelligence tools 15
orientone call returns the current cycle, what's in flight, and the recommended next action. Run it at the start of every session.setupscaffold PAPI onto a new project.planbreak goals into a cycle of right-sized tasks, each with a build handoff your assistant can execute directly.build_listlist the current cycle's tasks and their handoffs.build_executestart a task (creates a branch and handoff) and complete it (records the build report).tutorial_modeturn on short explanations and one clear next step in every reply. Handy for your first few cycles.board_viewread the project board and any task.board_editchange a task's status, cycle, priority, or notes.ad_hocrecord quick work done outside the cycle so it shows in project history.ideacapture a feature, bug, or research note into the backlog.bugfile a bug against the board.strategy_reviewstep back every few cycles to check direction, not just velocity.- +3 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Leetcode MCP Server
{
"mcpServers": {
"jinzcdev-leetcode-mcp-server": {
"command": "npx",
"args": [
"-y",
"@jinzcdev/leetcode-mcp-server"
]
}
}
}
PAPI: Persistent Adaptive Planning Intelligence
{
"mcpServers": {
"papi-persistent-adaptive-planning-intelligence": {
"url": "https://mcp.getpapi.ai/mcp"
}
}
}
Frequently asked questions
Leetcode MCP Server is categorized under Coding Agents and uses a local stdio subprocess. PAPI: Persistent Adaptive Planning Intelligence belongs to Coding Agents and uses a remote HTTP/SSE transport. Pick Leetcode MCP Server for coding agents work and PAPI: Persistent Adaptive Planning Intelligence for coding agents.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Leetcode MCP Server is listed as free. Auth: other. PAPI: Persistent Adaptive Planning Intelligence has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add jinzcdev-leetcode-mcp-server and papi-persistent-adaptive-planning-intelligence as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Leetcode MCP Server has a quality signal of 69/100 (Great) with 8 views, 0 installs and 155 GitHub stars. PAPI: Persistent Adaptive Planning Intelligence has 57/100 (Good) with 1 views, 0 installs and 11 GitHub stars.