revmng-mcp 0.1.0

MCP server for revmng: revenue-management decisions for AI agents (seat protection, overbooking, pricing, bid prices, charts).

revmng-mcp

An MCP server that exposes revmng, the revenue-management library for Python, as tools for AI agents: seat protection (Littlewood, EMSR and the exact dynamic program), overbooking, pricing, group and length-of-stay decisions, network bid prices, and ready-to-show charts.

Agents asked to set a booking limit or evaluate a group tend to do the arithmetic themselves, and the standard methods are easy to get subtly wrong: a protection level computed from the wrong tail, a group accepted without costing the demand it displaces, EMSR confused with the optimum. The calculation belongs in a deterministic, versioned, validated library that the agent calls, which leaves the agent to choose the analysis and explain the result.

Tools

Analysis tools return the library's payload: the decision, supporting figures and provenance.

Tool	Purpose
protection_levels	nested protection levels and booking limits (EMSR-b, EMSR-a or the exact optimal DP)
overbooking_limit	authorization limit, by service level or the cost trade-off
newsvendor	the critical-fractile stocking quantity
optimal_price	the profit-maximising price for a linear or constant-elasticity demand curve
revenue_opportunity	the revenue opportunity metric (ROM) against perfect and no-control benchmarks
evaluate_group	accept or reject a group by displacement analysis
evaluate_stay	accept or reject a multi-night stay against nightly bid prices
bid_prices	network bid prices from the deterministic LP
metrics	RevPAR, ADR, occupancy, yield and load factor
describe_inputs	the input fields and the method definitions

Chart tools return a PNG image.

Tool	Purpose
protection_chart	the nested booking limits, or the EMSR curves
overbooking_chart	the overbooking cost trade-off
price_chart	revenue, profit and demand against price
newsvendor_chart	expected profit against order quantity
revenue_opportunity_chart	perfect, no-control and realised revenue
bid_price_chart	the bid price per resource

All tools are read-only.

Installation

Run it with uv (no install needed):

uvx revmng-mcp

or install from PyPI:

pip install revmng-mcp

Configuration

Add it to your MCP client. For example:

{
  "mcpServers": {
    "revmng": {
      "command": "uvx",
      "args": ["revmng-mcp"]
    }
  }
}

If you installed with pip, use "command": "revmng-mcp" with no args.

Example

protection_levels(classes=[
  {"fare": 1000, "mean": 30, "sd": 12},
  {"fare": 700,  "mean": 40, "sd": 15},
  {"fare": 400,  "mean": 60, "sd": 20}
], capacity=120, method="emsr_b")
  -> { "method": "EMSR-b",
       "booking_limits_int": [120, 97, 50],
       "summary": "EMSR-b - capacity 120 ..." }

Design

The server is a thin, stateless wrapper. All of the arithmetic lives in the revmng library, which computes from the standard methods and is validated against published worked examples (Phillips 2005) and cross-checked against an exact dynamic program. The server adds the tool schema, read-only annotations and an input-schema helper so an agent can format the input and act on the result. Demand is supplied by the caller; forecasting is out of scope.

Related

• revmng: the library this server wraps.

License

MIT. Written and maintained by Atakan Arikan, MSc Student at Tsinghua University and Politecnico di Milano.