# DreamPoeBot Eval

> Use this tool when you need to automate tasks in Path of Exile or extend the functionality of DreamPoeBot with custom C# scripts. It solves problems related to game automation, plugin development, and API inspection, providing a flexible interface for executing scripts and analyzing the type system via HTTP JSON-RPC. Ideal for use cases requiring dynamic scripting, plugin development, or detailed API analysis within the DreamPoeBot framework.

Canonical page: https://skillsregistry.net/skills/rushtothesun-dreampoebot-eval  
JSON: https://api.skillsregistry.net/v1/skills/rushtothesun-dreampoebot-eval

## Description

Provides a dual-server MCP plugin for DreamPoeBot, a Path of Exile automation framework. The eval server compiles and executes C# scripts within the running process via HTTP JSON-RPC, while the reflector server provides static type analysis with keyword search, regex matching, namespace browsing, and detailed API inspection of DreamPoeBot's type system.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rushtothesun-dreampoebot-eval)
- **Repository:** <https://github.com/rushtothesun/dpbmcpeval>

## 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": "rushtothesun-dreampoebot-eval"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rushtothesun-dreampoebot-eval` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rushtothesun-dreampoebot-eval/pull`

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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