# Freya MCP Server

> Freya MCP Server — mrcodex-dev-freya-mcp-server. Use this tool when you need to manage and interact with filesystems, execute shell commands, and leverage Windows tools for tasks such as reverse engineering and code intelligence. It provides extensive system access and agent orchestration capabilities, making it suitable for complex AI workflows. Ideal for use cases requiring low-level system control and automation, with inputs including filesystem paths and shell commands, and outputs including execution results and system data.

Canonical page: https://skillsregistry.net/skills/mrcodex-dev-freya-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mrcodex-dev-freya-mcp-server

## Description

A powerful filesystem MCP server for AI agents with extensive system access, including filesystem operations, shell execution, Windows tools, reverse engineering, code intelligence, and agent orchestration.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xc02jitrk9)
- **Repository:** <https://github.com/mrcodex-dev/freya-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": "mrcodex-dev-freya-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrcodex-dev-freya-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrcodex-dev-freya-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