poker-mcp
Enables simulated multi-table No-Limit Texas Hold'em study and decision-support, allowing users to practice against bots and get equity/pot-odds/preflop-chart advice.
README
poker-mcp
A poker study / decision-support MCP server and multi-table simulator. It lets an MCP client (Cursor, Claude Desktop, etc.) spin up simulated No-Limit Texas Hold'em tables, play against simple opponent bots across multiple tables at once, and get equity / pot-odds / preflop-chart-based advice for study and practice.
Built on:
mcp— the official Python MCP SDK (FastMCP, stdio transport).pokerkit— poker game engine and hand evaluation (NoLimitTexasHoldem,StandardHighHand).pydantic— typed tool inputs/outputs.
Scope & non-goals (please read)
This is a study and simulation tool, not a cheating tool.
- No real-money site automation or scraping. It does not connect to, scrape, read the screen of, or automate any commercial/real-money poker client. It only plays its own self-contained simulated tables.
- No webcam / computer-vision player reads. Opponent "reads" here are purely statistics derived from hands you simulate or explicitly import. (A future, clearly-opt-in stub is mentioned below but is out of scope for v1.)
- No GTO solver in v1. Advice is heuristic (Monte Carlo equity + pot odds + simple preflop ranges). Real solver integration is a future phase (see Roadmap).
Use it to practice multi-tabling, sanity-check equities, and rehearse decisions — not to gain an unfair edge in real games.
Features
- Multi-table NLHE simulator with configurable blinds, stacks, seats, and hero seat.
- Opponent bots:
RandomBot,TightBot,CallingStationBot(and amixedprofile). get_pending_actions()multi-table driver: find every table waiting on you.- Monte Carlo equity vs N random opponents, plus pot-odds helper.
- Simple JSON preflop range charts (ships with a 6-max RFI chart).
- Heuristic
advise()combining equity + pot odds + preflop chart with EV rationale. - SQLite hand-history storage and opponent stats (VPIP / PFR / AF).
Install
Requires Python >= 3.11 and uv.
uv sync # create .venv and install runtime deps
uv sync --extra dev # also install dev deps (pytest)
Run
# as a module
uv run python -m poker_mcp.server
# or via the console script
uv run poker-mcp
The server speaks the MCP stdio transport, so it's normally launched by an MCP client rather than used interactively.
Register in Cursor / Claude (stdio)
Add an entry to your MCP config (e.g. .cursor/mcp.json or Claude Desktop's
claude_desktop_config.json). Point cwd at this repository so uv resolves the
project environment:
{
"mcpServers": {
"poker-mcp": {
"command": "uv",
"args": ["run", "python", "-m", "poker_mcp.server"],
"cwd": "/Users/vedsm/projects/poker-mcp"
}
}
}
Tools
| Tool | Description |
|---|---|
create_table(seats, small_blind, big_blind, starting_stack, hero_seat, bot_profile) |
Create a table and deal the first hand; auto-advances bots to the hero. |
list_tables() |
Summaries of all open tables. |
close_table(table_id) |
Close/remove a table. |
get_table_state(table_id) |
Full state summary (board, pot, stacks, hero cards, whose turn, street). |
get_legal_actions(table_id) |
Legal betting actions for the current actor. |
get_pending_actions() |
Every table currently waiting on the hero (multi-table driver). |
submit_action(table_id, action, amount) |
Apply the hero's action, then auto-advance bots to the next decision. |
autoplay_bots(table_id) |
Advance bots until it's the hero's turn or the hand ends. |
advise(table_id, mc_trials) |
Recommended action + equity + pot odds + EV rationale. |
calc_equity(hole, board, num_opponents, mc_trials) |
Monte Carlo equity estimate. |
get_opponent_stats(player_id) |
VPIP / PFR / AF for a player from stored hands. |
import_hand_history(events) |
Minimal stub to store externally-provided events. |
Cards use standard two-character notation: rank (2-9, T, J, Q, K, A) +
suit (c, d, h, s), e.g. As, Kh, Td.
Example flow
create_table(seats=6, hero_seat=0, bot_profile="mixed")→ returns a table with an id.get_pending_actions()→ see which tables need you.advise(table_id)→ get a recommendation with equity and reasoning.submit_action(table_id, "call")(or"raise"withamount) → bots play on; a new hand is dealt when one ends.
Project layout
poker-mcp/
├── pyproject.toml
├── README.md
├── LICENSE
├── data/preflop_ranges/6max_rfi.json
├── src/poker_mcp/
│ ├── server.py # FastMCP instance + tools
│ ├── config.py
│ ├── schemas.py # pydantic IO models
│ ├── engine/ # table.py, manager.py, bots.py
│ ├── decision/ # equity.py, preflop.py, policy.py
│ └── modeling/ # store.py (sqlite), stats.py
└── tests/
The hand-history database defaults to poker_mcp.db in the working directory; override
with the POKER_MCP_DB environment variable. Override the preflop chart directory with
POKER_MCP_RANGES_DIR.
Development
uv sync --extra dev
uv run pytest -q
Roadmap (future phases, not in v1)
- GTO / solver integration (e.g. TexasSolver) for range-vs-range solving.
- Richer preflop/postflop range charts and 3-bet/4-bet logic.
- More sophisticated opponent models and exploitative adjustments.
- Opt-in live-play study aids. Any webcam/computer-vision "player read" feature is explicitly out of scope for v1 and would only ever be an opt-in study stub — never automation of a real-money client.
License
MIT © Vedant Mehta. See LICENSE.
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