Leela MCP Server
An MCP server that exposes the Leela Chess Zero neural-network chess engine to MCP clients, enabling position analysis, best move calculation, and board manipulation.
README
Leela MCP Server (lc0-mcp)
An MCP (Model Context Protocol) server that exposes the Leela Chess Zero neural-network chess engine (lc0) to any MCP client. Once connected, a client (Claude, or any other MCP host) can analyze positions, get best moves, evaluate lines, and manipulate boards through a small set of tools.
Naming:
lc0is the binary name for Leela Chess Zero, hence thelc0-*command and tool names in this repo.
This package is just the MCP server. The engine binary (lc0) and a network
weights file are external dependencies you provide — see
Prerequisites.
Quick start
For the impatient — each step links to its detailed section below.
- Install Python ≥ 3.10 and pipx
(
python3 -m pip install --user pipx && python3 -m pipx ensurepath). - Get the
lc0engine binary — build it or download a release. See 1. Thelc0engine. Note its path. - Get a network (
*.pb.gzweights file) and note its path. See 2. A network (weights) file. - Install this server:
git clone https://github.com/indulge/leela-mcp-server.git cd leela-mcp-server pipx install . - Connect it to your MCP client with the two paths from steps 2–3.
For Claude Code:
See Use with an MCP client for Claude Desktop, Cursor, etc.claude mcp add -s user lc0-chess lc0-mcp \ -e LC0_PATH=/path/to/lc0 \ -e LC0_WEIGHTS=/path/to/network.pb.gz - Verify:
claude mcp listshowslc0-chess … ✔ Connected, or run the smoke test.
Prerequisites
| Dependency | Required | How to get it |
|---|---|---|
| Python | ≥ 3.10 | system package / python.org |
lc0 engine binary |
yes | build from source or download a release — see below |
A network weights file (*.pb.gz) |
yes | download — see below (a source build does not include one) |
Python deps: mcp[cli], python-chess |
yes | installed automatically (see Install) |
1. The lc0 engine
lc0 is a separate project (lczero.org · GitHub: LeelaChessZero/lc0).
- Official prebuilt binaries are Windows-only. On Linux/macOS, build from
source with
meson+ninja(see lc0's build instructions), or install via your package manager if it ships lc0. - The build produces a binary, typically at
build/release/lc0. Note that path — you'll pointLC0_PATHat it.
2. A network (weights) file
A source build of lc0 does not bundle a network, and lc0 will not start without one.
- Download a
.pb.gznetwork from the lc0 networks page or storage.lczero.org. - Smaller nets (e.g. a distilled 256×10, ~37 MB) run acceptably on CPU; larger nets (768×15, 170–380 MB) are stronger but want a GPU backend.
- Note the file path — you'll point
LC0_WEIGHTSat it.
Install
The server installs a lc0-mcp console command. Install it for the current
user with pipx (recommended — isolates the
dependencies and avoids PEP 668 "externally-managed environment" errors):
git clone https://github.com/indulge/leela-mcp-server.git
cd leela-mcp-server
pipx install .
This puts lc0-mcp on your PATH and pulls in its Python dependencies
(mcp[cli], python-chess). Verify with which lc0-mcp — it should print a path
like ~/.local/bin/lc0-mcp. (There's no --help; it's a stdio server that waits
for an MCP client to connect — see Run / test.)
Alternatives:
pipx install -e . # editable: track the working tree (for development)
pip install --user . # without pipx (may need a venv on PEP-668 systems)
To upgrade: pipx reinstall lc0-mcp. To remove: pipx uninstall lc0-mcp.
Configure (environment variables)
The server is configured entirely through environment variables. LC0_PATH
and LC0_WEIGHTS are effectively required — set them to your engine binary
and network from Prerequisites. (As a convenience, if you place
the binary at ./lc0/build/release/lc0 and any *.pb.gz net in ./networks/
relative to the server source, the defaults below find them — but for an
installed command you should set the paths explicitly.)
| Variable | Default | Meaning |
|---|---|---|
LC0_PATH |
./lc0/build/release/lc0 |
path to the lc0 engine binary |
LC0_WEIGHTS |
first *.pb.gz in ./networks/ |
path to the network .pb.gz |
LC0_BACKEND |
auto-detect | force a backend (eigen, blas, cuda, …) |
LC0_THREADS |
min(8, cpu_count) |
search threads |
LC0_DEFAULT_NODES |
2000 |
default search budget per call |
LC0_MAX_NODES |
5000000 |
hard cap per request |
LC0_MAX_MOVETIME_MS |
60000 |
hard cap per request |
Use with an MCP client
lc0-mcp is a stdio MCP server: a client launches it as a subprocess and
talks JSON-RPC over stdin/stdout. Every stdio MCP client configures the same
three things — a command, optional args, and env vars:
command: lc0-mcp
args: (none)
env: LC0_PATH=/path/to/lc0
LC0_WEIGHTS=/path/to/network.pb.gz
A ready-to-edit JSON example is in examples/mcp-config.json.
Two concrete clients:
Claude Code (CLI)
claude mcp add -s user lc0-chess lc0-mcp \
-e LC0_PATH=/path/to/lc0 \
-e LC0_WEIGHTS=/path/to/network.pb.gz \
-e LC0_DEFAULT_NODES=2000
Then claude mcp list should show lc0-chess: … ✔ Connected.
Claude Desktop, Cursor, and other JSON-config clients
Most MCP hosts (Claude Desktop, Cursor, Windsurf, Zed, …) take the same
command / args / env shape in a JSON config file — only the file's location
differs (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json).
Add an entry under mcpServers:
{
"mcpServers": {
"lc0-chess": {
"command": "lc0-mcp",
"env": {
"LC0_PATH": "/path/to/lc0",
"LC0_WEIGHTS": "/path/to/network.pb.gz"
}
}
}
}
Then restart (or reload) the client and it will launch lc0-mcp on demand.
If
lc0-mcpisn't found: the client's launch environment may not include your user bin directory onPATH. Use the absolute path instead — find it withwhich lc0-mcp(e.g.~/.local/bin/lc0-mcp) and put that in"command".
Tools
| Tool | What it does |
|---|---|
analyze_position(fen, nodes?, movetime_ms?, depth?, multipv=1) |
Evaluate a position; returns score (centipawns / mate), lc0 Win/Draw/Loss + expectation, and best line(s) in UCI + SAN. |
best_move(fen, nodes?, movetime_ms?, depth?) |
Single best move + resulting FEN + eval. |
play_move(fen, move) |
Apply a move (UCI or SAN); returns new FEN + board + game status. |
position_from_moves(moves, start_fen?) |
Build a position from a sequence of moves. |
legal_moves(fen) |
All legal moves (UCI + SAN). |
show_board(fen) |
Text + unicode board diagram and status. |
engine_info() |
Engine id, configured paths, and limits. |
fen accepts a FEN string or the literal "startpos". The search budget
defaults to LC0_DEFAULT_NODES; pass nodes, movetime_ms, or depth to
override per call.
Run / test
# Run the installed server standalone (stdio; it waits for an MCP client — Ctrl-C to stop)
LC0_PATH=/path/to/lc0 LC0_WEIGHTS=/path/to/network.pb.gz lc0-mcp
# Smoke test: drives the server as a real MCP client end-to-end.
# Requires LC0_PATH / LC0_WEIGHTS in the environment (or the default paths populated).
pip install -r requirements.txt # if running from source without installing
LC0_PATH=/path/to/lc0 LC0_WEIGHTS=/path/to/network.pb.gz python test_mcp.py
Project layout
leela-mcp-server/
├── lc0_mcp_server.py # the MCP server (all tools)
├── pyproject.toml # packaging — defines the `lc0-mcp` command + deps (source of truth)
├── requirements.txt # convenience deps for running from source (mirrors pyproject)
├── test_mcp.py # end-to-end MCP smoke test
├── examples/
│ └── mcp-config.json # generic client config (placeholder paths)
├── LICENSE # MIT
└── README.md
References
- MCP — protocol spec & SDKs: https://modelcontextprotocol.io
- Leela Chess Zero — project home: https://lczero.org
- lc0 — engine source & build guide: https://github.com/LeelaChessZero/lc0
- Networks — weights downloads: https://lczero.org/play/networks/bestnets/ · https://storage.lczero.org/
- python-chess — board/move/FEN library used here: https://python-chess.readthedocs.io
License
MIT — see LICENSE.
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