Leela MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Leela MCP Serverfind the best move in this chess position"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Prerequisites
Dependency | Required | How to get it |
Python | ≥ 3.10 | system package / python.org |
| yes | build from source or download a release — see below |
A network weights file ( | yes | download — see below (a source build does not include one) |
Python deps: | 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.
Related MCP server: chess-uci-mcp
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 <this-repo-url> leela-mcp-server
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 (or lc0-mcp --help
is not provided; it's a stdio server — 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 a net at ./networks/*.pb.gz
relative to the server source, the defaults below find them — but for an
installed command you should set the paths explicitly.)
Variable | Default | Meaning |
|
| path to the |
|
| path to the network |
| auto-detect | force a backend ( |
|
| search threads |
|
| default search budget per call |
|
| hard cap per request |
|
| 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.gzA 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=2000Then claude mcp list should show lc0-chess: … ✔ Connected.
Claude Desktop (and other JSON-config clients)
Add to the client's config file (for Claude Desktop:
claude_desktop_config.json):
{
"mcpServers": {
"lc0-chess": {
"command": "lc0-mcp",
"env": {
"LC0_PATH": "/path/to/lc0",
"LC0_WEIGHTS": "/path/to/network.pb.gz"
}
}
}
}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).
Tools
Tool | What it does |
| Evaluate a position; returns score (centipawns / mate), lc0 Win/Draw/Loss + expectation, and best line(s) in UCI + SAN. |
| Single best move + resulting FEN + eval. |
| Apply a move (UCI or SAN); returns new FEN + board + game status. |
| Build a position from a sequence of moves. |
| All legal moves (UCI + SAN). |
| Text + unicode board diagram and status. |
| 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.pyProject 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.mdReferences
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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