# largefile

> largefile — peteretelej-largefile. Use this tool when you need to read, search, or edit extremely large files that exceed LLM context windows. It solves the problem of handling oversized files by providing a dedicated MCP server for efficient file management. The tool accepts large files as input and outputs searchable and editable content, ideal for use cases involving massive data files or collaborative editing via git integration.

Canonical page: https://skillsregistry.net/skills/peteretelej-largefile  
JSON: https://api.skillsregistry.net/v1/skills/peteretelej-largefile

## Description

MCP server for reading, searching, and editing files too large for LLM context windows

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/peteretelej/largefile)

## 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": "peteretelej-largefile"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/peteretelej-largefile` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/peteretelej-largefile/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