# mcp-hashline-edit-server

> Use this tool when you need to precisely edit files while ensuring data integrity, particularly in scenarios where concurrent modifications are possible. It solves problems of accidental overwrites and corrupted data by using line-addressed edits and content hashes for verification. The tool accepts file content and edit instructions as input and outputs the modified file content, making it suitable for applications where reliable file modification is crucial.

Canonical page: https://skillsregistry.net/skills/submersible-mcp-hashline-edit-server  
JSON: https://api.skillsregistry.net/v1/skills/submersible-mcp-hashline-edit-server

## Description

Provides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rs85mz92c6)
- **Repository:** <https://github.com/Submersible/mcp-hashline-edit-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": "submersible-mcp-hashline-edit-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/submersible-mcp-hashline-edit-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/submersible-mcp-hashline-edit-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