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., "@endplay-dd-mcp-server double dummy for N:9642.95.AKQT4.K7 KJ3.K3.98.T98654 AQT85.Q862..AQJ2 7.AJT74.J76532.3"
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.
MCP server exposing endplay double-dummy calculations for chatbots/agents.
double_dummy(pbn: str)
Returns a full 20-cell trick table (N/E/S/W declarer x C/D/H/S/NT strain).
double_dummy_batch(pbns: list[str])
Same result shape for multiple deals in one call.
Related MCP server: TexasSolver MCP Server
cd c:/sw/bridge/ML-Contract-Bridge/src/endplay-dd-mcp-server
python -m venv .venv
.venv/Scripts/activate
pip install -e .endplay-dd-mcpThe server runs over stdio (default FastMCP behavior), suitable for MCP clients.
N:9642.95.AKQT4.K7 KJ3.K3.98.T98654 AQT85.Q862..AQJ2 7.AJT74.J76532.3{
"ok": true,
"pbn": "<input>",
"table": {
"denom_order": ["C", "D", "H", "S", "N"],
"player_order": ["N", "E", "S", "W"],
"by_declarer": {
"N": {"C": 8, "D": 8, "H": 7, "S": 7, "N": 9},
"E": {"C": 5, "D": 5, "H": 6, "S": 0, "N": 4},
"S": {"C": 8, "D": 7, "H": 7, "S": 7, "N": 9},
"W": {"C": 5, "D": 6, "H": 5, "S": 0, "N": 4}
}
}
}Add this server in your MCP config:
{
"mcpServers": {
"endplay-dd": {
"command": "c:/sw/bridge/ML-Contract-Bridge/src/endplay-dd-mcp-server/.venv/Scripts/python.exe",
"args": [
"-m",
"endplay_dd_mcp.server"
]
}
}
}This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Negotiation math engine. Pareto frontier, counteroffer generation, zero LLM tokens.
Free game-theory negotiation advisor for agents, plus paid receipted sessions and agent memory.
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