# HullForge MCP Connector

> HullForge MCP Connector — jigwright-hullforge-mcp. Use this tool when you need to integrate a Large Language Model (LLM) client with Unreal Engine 5, enabling seamless communication and control between the editor plugin and the LLM client. It solves problems related to managing complex workflows and ensuring reliable data exchange between the two systems. The HullForge MCP Connector takes input from the LLM client and outputs controlled commands to the Unreal Engine 5 editor, ideal for use cases requiring automated content generation or AI-driven design.

Canonical page: https://skillsregistry.net/skills/jigwright-hullforge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jigwright-hullforge-mcp

## Description

An MCP server that enables Claude to drive a running Unreal Engine 5 editor, managing communication between the editor plugin and the LLM client through stdio transport with session discovery, idempotent operations, and honest failure reporting.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u01z4yw6ow)
- **Repository:** <https://github.com/jigwright/hullforge-mcp>

## 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": "jigwright-hullforge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jigwright-hullforge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jigwright-hullforge-mcp/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