mcpField
C
Codeforces

Codeforces

Remote
pipeworx.ioScience & Education0Updated 5d ago

About Codeforces

Codeforces is an MCP server for competitive programming users and applications that query platform data. It provides keyless, read-only access to user, contest, problemset, submission, activity, and blog information, with contest standings paged by the server.

Key features

  1. 01Retrieve profiles and rating histories
  2. 02View recent user submissions
  3. 03List contests and query standings
  4. 04Search problemsets and recent statistics
  5. 05Read recent actions and blog entries

Use cases

  1. 01Review a user's rating changes and submissions
  2. 02Find contest standings and problem lists
  3. 03Browse problemsets by tags and submission statistics

MCP support

It exposes tools for querying Codeforces users, contests, problemsets, submissions, activity, and blogs to MCP clients. It is available remotely through Pipeworx or as a local stdio MCP server with only this pack's tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/codeforces/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

@pipeworx/codeforces

Codeforces public read API MCP — competitive programming users, contests, problems, submissions. Keyless.

Part of Pipeworx — an MCP gateway connecting AI agents to 1875+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • user(handles[]) — profile(s) by handle (up to 10k)
  • user_rating(handle) — full rating history for a user
  • user_status(handle, count?) — recent submissions for a user
  • contest_list(gym?) — all contests (regular or gym)
  • contest_standings(contest_id, handles?, from?, count?) — final scoreboard + problem list for one contest
  • problemset(tags?, problemset_name?) — problemset + recent submissions stats
  • recent_actions(max_count?) — recent global actions feed
  • blog_entry_view(blog_id) — full blog entry by id

Standings paging is done here, not upstream

Codeforces rejects from, count and handles on public standings — it answers HTTP 400 with "Non-gym contest standings for non-admin users are available only via anonymous GET requests with no extra parameters". The only request it accepts is the bare ?contestId=<id>, which returns the entire scoreboard (2.7 MB for contest 1000, 14 MB for contest 2000).

So contest_standings streams that response and slices it here: from/count page the rows and handles filters them, with the same meaning they had before. Nothing is held in memory beyond the window you asked for. Two consequences worth knowing:

  • Without a handles filter the read stops as soon as your window is full, so the response carries has_more: true instead of total_rows — the participant count is genuinely unknown at that point. Ask for a window past the end of the scoreboard, or pass handles, and you get total_rows.
  • Gym contests are not available at all. Codeforces serves gym standings only to an authenticated Codeforces account and this pack is keyless, so it returns {found: false, reason: "gym_contest_requires_codeforces_account"} rather than an error.

Data source

https://codeforces.com/api/

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "codeforces": {
      "url": "https://gateway.pipeworx.io/codeforces/mcp"
    }
  }
}
What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/codeforces/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1875+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/codeforces_user \
  -H 'Content-Type: application/json' \
  -d '{"handles":["tourist"]}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/codeforces_user. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "codeforces": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-codeforces"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-codeforces

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Codeforces data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.