# foundry-rest-api-mcp-server

> Use this tool when you need to automate content creation for Foundry VTT, specifically for authoring and managing D&D 5e creatures. It solves the problem of manually creating content by providing an interface for LLM agents to interact with the Foundry VTT REST API, accepting inputs such as creature specifications and generating outputs like fully-formed creature content. This tool is ideal for use cases where rapid content generation is required, streamlining the content creation process for virtual tabletop experiences.

Canonical page: https://skillsregistry.net/skills/phillyphenning-foundry-rest-api-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/phillyphenning-foundry-rest-api-mcp-server

## Description

An MCP server that wraps the ThreeHats Foundry VTT REST API relay so an LLM agent can author and manage Foundry VTT content, primarily creating D&D 5e creatures, through native MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/se44rtybz0)
- **Repository:** <https://github.com/PhillypHenning/foundry-rest-api-mcp-server>

## 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": "phillyphenning-foundry-rest-api-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phillyphenning-foundry-rest-api-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phillyphenning-foundry-rest-api-mcp-server/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
