# Distill MCP

> Use this tool when you need to automate file renaming based on AI-driven content analysis, solving problems such as manual file organization and tagging. The Distill MCP tool takes in files and AI provider inputs, outputting renamed files with suggested tags, and provides a bridge for MCP clients like Claude and Cursor. It is ideal for use cases involving large file sets, multiple AI providers, and custom rule management.

Canonical page: https://skillsregistry.net/skills/juergenkoller-software-distill-mcp  
JSON: https://api.skillsregistry.net/v1/skills/juergenkoller-software-distill-mcp

## Description

MCP bridge for Distill — let Claude, Cursor, or any MCP client rename files based on AI content analysis. 9 tools for renaming, suggestions (preview), folder watching, history, and rule management. Five AI providers: Claude, OpenAI GPT-4o, Gemini, Ollama (local), Apple Intelligence. Bridge open-source (MIT), Distill app is commercial (pay-per-use, no subscription).

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rr90050wzj)
- **Repository:** <https://github.com/juergenkoller-software/distill-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": "juergenkoller-software-distill-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/juergenkoller-software-distill-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/juergenkoller-software-distill-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