Skip to main content
Glama
sdf

sdf

by chessceo

@chessceo/mcp

Model Context Protocol server for chess.ceo — 11.7M+ games, ~1.5M FIDE player profiles, opening preparation, live broadcasts, cloud engine analysis, and (signed-in) a full read/write prep-file workflow. Lets Claude, Cursor, and any other MCP host answer chess questions directly against real data instead of hallucinating.

Player/game lookups need no API key or auth. Cloud engines and prep-file tools need a mcp_... bearer token (see Auth below).

What it can do

49 tools as of v0.49.0, mirroring the chess.ceo API surface. A few of the most-used:

Tool

What it answers

search_player

"Find FIDE ID for Magnus Carlsen"

get_player_profile

"How strong is X, what do they play, who have they beaten"

prepare_opponent + get_prep_position

"What does X play against 1.e4? What's their win rate with the Najdorf?"

get_position_stats

"From this position, which move scores best in the 11.7M-game database?"

get_head_to_head

"What's the record between X and Y?"

list_live_tournaments / list_tournament_players / list_player_live_tournaments

"What's being broadcast live right now? Who's playing? Is X in it?"

cloud_analyse

"Run Stockfish + Lc0 on this position on my rented GPU instance"

read_prep_file / add_line / add_move / apply_mutations

Read and edit your own repertoire/course PGNs stored server-side

auto_evaluate / deep_analyse

Kick off a long-running engine-evaluation job over a whole prep file, poll it, cancel it

read_docs

Bundled guides (engine usage, opening prep, prep-file conventions, PGN authoring, summary authoring)

Full tool inventory with categories lives in CLAUDE.md under "Tools cheatsheet" — that's the maintained source of truth; this table is illustrative, not exhaustive.

Related MCP server: Chess MCP

Install (Claude Desktop)

Add to your claude_desktop_config.json (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

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

Restart Claude Desktop. You should see the chess.ceo tools appear in the tool list at the bottom of the chat.

Install (Cursor)

Similar ~/.cursor/mcp.json:

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

Install (Claude Code)

This repo is also a Claude Code plugin marketplace, so you can add it directly:

/plugin marketplace add chessceo/chessceo-mcp
/plugin install chessceo@chessceo

Claude Code will pull the plugin from GitHub and wire the MCP server automatically. Enable "Sync automatically" in the marketplace UI if you want future updates fetched on push.

Auth (for cloud engines and prep files)

Read-only chess data — player search, profiles, position stats, head-to-head, live tournaments — needs nothing. Cloud engine tools and your own prep-file tools (list/read/create/edit) need a mcp_... bearer token.

  • Local (npx/Claude Desktop/Cursor): set CHESSCEO_TOKEN in the server's env block:

    {
      "mcpServers": {
        "chessceo": {
          "command": "npx",
          "args": ["-y", "@chessceo/mcp"],
          "env": { "CHESSCEO_TOKEN": "mcp_..." }
        }
      }
    }

    Get a token from your chess.ceo account settings.

  • Remote (mcp.chess.ceo/mcp): no config needed — calling an authed tool without a token triggers the host's normal OAuth flow (claude.ai, ChatGPT connectors) automatically.

Try it

Ask your model:

  • "Who has the better record against Magnus Carlsen: Ding Liren or Fabiano Caruana?"

  • "What does Alireza Firouzja play with White against the Najdorf?"

  • "Are there any live tournaments right now with Hikaru Nakamura?"

  • "From the position after 1.e4 c5 2.Nf3 d6 3.d4 cxd4 4.Nxd4 Nf6 5.Nc3 a6, what's the top continuation across the whole database?"

Prep workflow (built-in prompts)

For MCP hosts that show prompts in a slash-menu (Claude Desktop, Cursor, Claude Code), three pre-baked prompts are included so users get a proper preparation workflow without prompt-engineering their own:

Prompt

Purpose

prepare_for_game(me, opponent, my_color?, time_control?)

Full pre-match workflow: resolves both players, weights games by recency + format (classical OTB > rapid/blitz > online), walks the opponent's repertoire looking for lines where they score under 40%, checks head-to-head, and delivers a concrete plan with the moves to steer toward the opponent's weak points.

scout_player(player)

Deep scouting report on one player — style, top openings, recent form, biggest wins and losses, recurring weaknesses.

head_to_head_briefing(player_a, player_b)

One-paragraph read on the history between two players — who has the edge, dominant openings, style clash, current form.

Pick one from the host's slash-menu, fill in the arguments, and the model does the rest.

Remote MCP (chess.ceo-hosted)

You can also connect to chess.ceo's hosted instance and skip installing anything:

https://mcp.chess.ceo/mcp

In Claude Code:

/plugin add-mcp url https://mcp.chess.ceo/mcp

In Claude Desktop, edit claude_desktop_config.json:

{
  "mcpServers": {
    "chessceo": {
      "url": "https://mcp.chess.ceo/mcp"
    }
  }
}

Same tools, same data, zero-install. Bearer-authed tools (cloud engines, prep files) go through this host's OAuth flow instead of a config-file token. Useful when the host can't spawn subprocesses (e.g. Claude.ai web, Claude mobile, ChatGPT connectors).

Self-host the HTTP transport

The same package can run as a persistent HTTP server, not just a stdio subprocess:

chessceo-mcp --transport=http --http-port=8080 --http-host=127.0.0.1

Flags (or the corresponding env vars):

Flag

Env var

Default

Purpose

--transport

MCP_TRANSPORT

stdio

stdio or http

--http-port

MCP_HTTP_PORT

8080

Port to bind

--http-host

MCP_HTTP_HOST

127.0.0.1

Bind address

--http-path

MCP_HTTP_PATH

/mcp

Streamable-HTTP endpoint

GET /healthz returns 200 ok\n — wire it into your uptime monitor.

systemd unit (example)

# /etc/systemd/system/chessceo-mcp.service
[Unit]
Description=chess.ceo MCP server (Streamable HTTP)
After=network.target

[Service]
Type=simple
User=www-data
Environment=NODE_ENV=production
Environment=MCP_TRANSPORT=http
Environment=MCP_HTTP_PORT=8127
Environment=MCP_HTTP_HOST=127.0.0.1
ExecStart=/usr/bin/npx -y @chessceo/mcp
Restart=on-failure
RestartSec=5

[Install]
WantedBy=multi-user.target

nginx snippet (example)

server {
    listen 443 ssl http2;
    server_name mcp.chess.ceo;

    ssl_certificate     /etc/letsencrypt/live/mcp.chess.ceo/fullchain.pem;
    ssl_certificate_key /etc/letsencrypt/live/mcp.chess.ceo/privkey.pem;

    # Streamable HTTP is short JSON POSTs — no long-poll SSE required.
    location /mcp {
        proxy_pass         http://127.0.0.1:8127/mcp;
        proxy_http_version 1.1;
        proxy_set_header   Host $host;
        proxy_set_header   X-Real-IP $remote_addr;
        proxy_buffering    off;   # streaming responses shouldn't be buffered
        proxy_read_timeout 300s;
    }

    location = /healthz { proxy_pass http://127.0.0.1:8127/healthz; }
}

Development

git clone <this repo>
cd chessceo-mcp
npm install
npm run build   # tsc → dist/
npm start       # runs the server on stdio (for MCP hosts)

# or run the HTTP transport locally:
node dist/index.js --transport=http --http-port=8127
curl http://127.0.0.1:8127/healthz     # should print "ok"

Environment variable overrides:

  • CHESSCEO_BASE_URL — override the API base (default https://chess.ceo). Useful for testing against staging.

  • MCP transport env vars — see the self-host table above.

What's under the hood

The chess.ceo public API is a GET-only surface documented at chess.ceo/llms.txt. This MCP server is a thin wrapper — one tool per endpoint, with input schemas so LLMs can call them safely. When you ask the model a chess question, it picks the right tool, calls it, and reasons over the JSON. Nothing is invented; the data is straight from the database.

License

MIT

Available Tools

8 tools
analyseA

Short Stockfish evaluation at a position. Returns the top-N candidate moves with score (centipawns from side-to-move POV, positive = advantage; or mate distance) and the principal variation for each. Defaults: 2s think time, top-3 lines. PV moves come back in UCI notation (e2e4, not e4). Use this to sanity-check candidate lines from get_position_stats or get_player_preparation — human game frequency tells you what people play, engine evaluation tells you what's actually good.

Inputs: fen (required), multipv, movetime_ms.

get_player_preparationA

For a given player, colour and starting position, return both the moves the player actually chose (frequency + win rate) and the underlying games. Position is specified either as a move sequence in SAN (line) or a raw FEN. Use line iteratively to walk the opening tree: call once with empty line, pick a move, call again with line extended by that move, etc. When preparing for a real game, weight recent games (last 12-24 months) more heavily than old ones, classical over-the-board > rapid/blitz > online, and look for variations the player scores poorly in (below ~40%) or plays with less variety (shallower prep).

Inputs: color (required), fide_id (required), fen, line, +2 more.

get_player_profileA

Full stats for one player: identity, monthly rating history, peak / trend stats, career W/D/L by color and time control, top-10 openings as White and Black, opponent analysis by rating bracket, notable wins and worst losses, top events with performance ratings. Often enough on its own for 'how strong is X, what do they play, who have they beaten'.

Inputs: fide_id (required).

get_position_statsA

Move statistics from all 11.7M+ indexed games at a given position — game counts, win percentages, top continuations. Answers 'from position P, how often does White play 4. O-O vs 4. d3, and which scores better'.

Inputs: fen (required), limit.

list_live_tournamentsA

Tournaments currently being broadcast live on chess.ceo. Use this when the user asks 'what's on right now' / 'live tournaments today'.

Inputs: no named parameters.

list_tournament_playersC

Players participating in one live-broadcast tournament.

Inputs: tour_id (required).

prep_snapshotA

One call, three parallel fetches at the same position: opponent's stats on their side, your stats on your side, and the 11.7M-game general database at that position. Use this while walking the opening tree — one round trip instead of three separate calls, and you can compare the three views directly (e.g. opponent has 2 games here but the general DB has 8k → prep candidate).

Inputs: my_color (required), fide_id_me (required), fide_id_opponent (required), fen, +1 more.

search_playerA

Fuzzy name lookup for FIDE-rated chess players. Returns candidate matches with their FIDE ID, current rating, title (GM/IM/etc.), and country. Use this to resolve a plain-English name (e.g. 'Carlsen', 'Ding Liren') to the FIDE ID that every other tool needs.

Inputs: name (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.9/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct resource or data source: tournament listings, player search, player profile, player-specific prep, general position stats, engine evaluation, tournament roster, and combined prep snapshot. The four position-related tools are clearly differentiated by their descriptions: player-specific moves, general database move statistics, engine evaluation, and a combined one-call convenience.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern with get_/list_/search_ prefixes (e.g., get_player_profile, list_live_tournaments, search_player). The exceptions are 'analyse' as a bare verb and 'prep_snapshot' as an abbreviated noun form, which break the otherwise consistent convention.

    Tool Count5/5

    Eight tools is well-scoped for a chess preparation and live-tournament server. Each tool covers a distinct function and none feels redundant, with the possible convenience overlap of prep_snapshot being acceptable as a single-round-trip optimization.

    Completeness4/5

    The set covers the core workflow: player discovery, profile stats, opening-tree walking with personal and general statistics, engine evaluation, and tournament browsing. Minor gaps exist such as no full game viewer or tournament standings, but they do not block the primary preparation-focused purpose.

    Related MCP Connectors

    Related MCP Servers

    • F
      license
      Not graded
      quality
      D
      maintenance
      An enterprise-grade Chess.com MCP server built with MXCP, featuring caching, analytics, audit trails, and advanced data analysis capabilities. https://mxcp.dev/
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.
      48 npm
      1
      ISC
    • F
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that fetches and filters chess.com game data, returning compact summaries instead of massive JSON, enabling LLMs to answer questions about player performance and head-to-head records.
      -
    • A
      license
      A
      quality
      D
      maintenance
      MCP server that exposes the Lichess public API through tools for querying player profiles, games, analysis, openings, puzzles, and tournaments, allowing natural-language chess questions without an API key.
      8
      MIT