Luogu MCP Server | 洛谷 MCP Server

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A small MCP server for searching Luogu problems, reading statements and training sets, and finding related practice. It can run locally through npm or as a hosted Streamable HTTP server.

Quick Start

Use the hosted read-only server without installing anything:

config.json

{
  "mcpServers": {
    "luogu": {
      "url": "https://luogu-mcp.ksrnyx.top/mcp"
    }
  }
}

To keep the server on your machine, use the published luogu-mcp-server package:

config.json

{
  "mcpServers": {
    "luogu": {
      "command": "npx",
      "args": ["-y", "luogu-mcp-server"]
    }
  }
}

Then ask:

text

Search Luogu for five beginner binary-tree problems.
Fetch Luogu P1305 with its statement and samples.
Find related practice for traversal-order confusion.

Tools

Tool	Purpose
`luogu_search_problems`	Search Luogu problems by keyword, topic, title fragment, problem id, and optional Luogu tag ids.
`luogu_fetch_problem`	Fetch one Luogu problem statement, formats, samples, tags, difficulty, and URL by `pid`.
`luogu_resolve_problem`	Resolve a Luogu URL, problem id, or title fragment, then fetch the problem.
`luogu_find_related_problems`	Mix topic/pain-point recommendations with live keyword search to find related practice.
`luogu_list_algorithm_topics`	List canonical algorithm topics, aliases, and known tag ids.
`luogu_find_topic_problems`	Find topic practice problems using aliases, tag ids, deduplication, and match reasons.
`luogu_search_problem_sets`	Search Luogu training/problem sets by keyword. Supports `type: "all"
`luogu_fetch_problem_set`	Fetch one Luogu training/problem set and problem summaries by id.
`luogu_recommend_problems`	Return seed recommendations from a topic or student pain point.
`luogu_get_user_profile`	Fetch public Luogu user profile data by uid.
`luogu_get_capabilities`	Report which LeetCode-style route features are available, auth-required, or planned.

All tools are read-only.

Availability

Hosted MCP: https://luogu-mcp.ksrnyx.top/mcp
Health: https://luogu-mcp.ksrnyx.top/health
Official MCP Registry: io.github.Kaiserunix/luogu-mcp-server, described by server.json

Other Ways To Run

From source:

powershell

git clone https://github.com/kaiserunix/luogu-mcp-server.git
cd luogu-mcp-server
cmd /c npm install
cmd /c npm run build

Use node directly from a source checkout:

config.json

{
  "mcpServers": {
    "luogu": {
      "command": "node",
      "args": [
        "C:\\path\\to\\luogu-mcp-server\\dist\\index.js"
      ],
      "cwd": "C:\\path\\to\\luogu-mcp-server"
    }
  }
}

Example Calls

Search problems:

config.json

{
  "keyword": "二叉树",
  "page": 1,
  "limit": 5
}

Search problems with a Luogu tag filter:

config.json

{
  "keyword": "二叉树",
  "tagIds": [11],
  "limit": 5
}

Fetch a problem:

config.json

{
  "pid": "P1305",
  "maxStatementChars": 5000
}

Recommend from a pain point:

config.json

{
  "topic": "binary_tree",
  "painPoint": "traversal_order_confusion",
  "limit": 3
}

Resolve a pasted URL:

config.json

{
  "query": "https://www.luogu.com.cn/problem/P1305",
  "maxStatementChars": 5000
}

Find related practice:

config.json

{
  "topic": "binary_tree",
  "painPoint": "traversal_order_confusion",
  "query": "二叉树 遍历",
  "limit": 5
}

Find topic practice with alias expansion:

config.json

{
  "topic": "Treap",
  "limit": 5,
  "excludeProblemIds": ["P3369"]
}

Fetch a public user profile:

config.json

{
  "uid": 1
}

Search training/problem sets:

config.json

{
  "keyword": "网络流",
  "type": "select",
  "limit": 5
}

type: "all" is the default. It combines title-filtered official sets with selected user-shared set search. Use type: "official" for the public official index, or type: "select" for selected user-shared sets.

Luogu Route Parity

This project mirrors the useful shape of richer LeetCode MCP servers while respecting what Luogu exposes publicly:

Available now: problem search, problem fetch, URL/id/title resolution, related problem discovery, training set search/fetch, public user profile fetch.
Auth-required in live probes: recent submissions, public solution pages, and discussion pages.
Planned but intentionally not enabled: solution submission/run-code tools. Those require authenticated session handling and explicit write-tool safety gates.

Development

powershell

cmd /c npm test
cmd /c npm run build

Cloudflare Worker Deployment

This package also includes a stateless Streamable HTTP MCP entrypoint for Cloudflare Workers.

powershell

cmd /c npm test
cmd /c npm run smoke:cf
cmd /c npx wrangler login
cmd /c npm run deploy:cf:dry
cmd /c npm run deploy:cf

The Worker exposes the same read-only tools at /mcp, with a health endpoint at / or /health.

config.json

{
  "mcpServers": {
    "luogu": {
      "url": "https://<your-worker-name>.<your-workers-subdomain>.workers.dev/mcp"
    }
  }
}

Verify a deployed Worker:

powershell

cmd /c npm run smoke:cf -- https://<your-worker-name>.<your-workers-subdomain>.workers.dev

For private deployments, set LUOGU_MCP_TOKEN with wrangler secret put and configure your MCP client to send an Authorization: Bearer <token> header where supported. Browser Origin requests are rejected by default; set LUOGU_MCP_ALLOWED_ORIGINS to a comma-separated origin list if browser access is needed.

See docs/cloudflare-deployment.md for the full release checklist.

Run broad live checks against Luogu's current website responses:

powershell

cmd /c npm run smoke:live

The live smoke starts the MCP server through a real stdio client, then compares problem fetches, problem searches, training searches, training fetches, URL/id resolution, related recommendations, public user profiles, and route capabilities against Luogu content-only page responses. It is intentionally separate from unit tests because it depends on Luogu network availability and current site behavior.

Run the 100-topic algorithm coverage smoke:

powershell

cmd /c npm run smoke:topics

The topic smoke starts the real MCP server and probes 100 algorithm categories across high-level topic search and training-set search. It fails if fewer than 98 topic searches return Luogu results.

Download one representative problem per catalog topic into a local ignored folder:

powershell

cmd /c npm run download:topics

Test a MiMo agent loop that asks the model to choose MCP tools, then executes those calls through the local stdio MCP server:

powershell

cmd /c npm run smoke:mimo

smoke:mimo reads MIMO_API_KEY from the environment, or from C:\Users\qwerf\.continue\.env on this machine.

Notes

Luogu endpoints used here are content-only web endpoints, not a formal stability contract.
The server keeps outputs compact and structured for model context control.
Browser automation is intentionally not the default path. A Playwright fallback can be added later for pages that cannot be read through lightweight HTTP.
For broad topic discovery, Luogu training-set search is often cleaner than raw problem title search; raw keyword search follows Luogu's website ordering and can include title-level noise.