# MCP4DRL

> Use this tool when you need to optimize business process resource allocation through reinforcement learning, and interact with trained models using natural language. It solves complex decision-making problems by providing transparent Q-value analysis and action explainability. The tool accepts natural language inputs and outputs optimized resource allocation decisions, making it ideal for use cases requiring dynamic and adaptive decision-making.

Canonical page: https://skillsregistry.net/skills/mostapow-mcp4drl  
JSON: https://api.skillsregistry.net/v1/skills/mostapow-mcp4drl

## Description

Exposes a trained Deep Q-Network agent for business process resource allocation, enabling natural language interaction with reinforcement learning models. It provides tools for simulation control, Q-value analysis, and action explainability to make complex decision-making transparent.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qturg4672t)
- **Repository:** <https://github.com/mostapow/mcp4drl>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mostapow-mcp4drl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mostapow-mcp4drl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mostapow-mcp4drl/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt