# distill-mcp

> Use this tool when you need to convert local documents into optimized Markdown for large language models (LLMs), reducing token count by 40-80%. It connects MCP-compatible clients to Distill, accepting various document formats like PDF and DOCX as input and producing clean, token-efficient Markdown as output. Ideal for use cases where efficient LLM input is crucial, such as text analysis, summarization, and generation tasks.

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

## Description

Connects MCP-compatible clients to Distill for converting local documents (PDF, DOCX, etc.) into clean, token-efficient Markdown, achieving 40-80% token reduction for LLMs.

## Trust

- **Trust score (0–1):** 0.69
- **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/nn8g46me02)
- **Repository:** <https://github.com/lakshgk/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": "lakshgk-distill-mcp"
    }
  }
}
```

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