Revmng Mcp

revmng-mcp

[](https://github.com/arikanatakan/revmng-mcp/actions/workflows/ci.yml) [](https://pypi.org/project/revmng-mcp/) [](LICENSE)

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.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: arikanatakan
• Source: arikanatakan/revmng-mcp
• License: MIT
• Homepage: https://pypi.org/project/revmng-mcp/

Install and usage instructions live in the source repository linked above.