mcp-hashline-edit-server

mcp-hashline-edit-server

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.

Category
Visit Server

README

mcp-hashline-edit-server

MCP server providing hashline-based file editing — line-addressed edits with content hashes for integrity verification.

Based on hashline edit format from oh-my-pi.

What is Hashline?

LLM reads file, every line tagged with short content hash:

1:a3|function hello() {
2:f1|  return "world";
3:0e|}

Model references tags when editing — "replace line 2:f1", "replace range 1:a3 through 3:0e", "insert after 3:0e". If file changed since last read, hashes won't match, edit rejected before corruption.

Model doesn't need to reproduce old content/whitespace to identify changes. Benchmarks show hashline matches or beats str_replace for most models, weakest models gain most (up to 10x improvement).

Requirements

  • Bun runtime (Bun.hash.xxHash32 for line hashing)
  • ripgrep (rg) on PATH for grep tool

Install

npm install mcp-hashline-edit-server
# or
bun add mcp-hashline-edit-server

Usage

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "hashline-edit": {
      "command": "bunx",
      "args": ["mcp-hashline-edit-server"]
    }
  }
}

Cursor

Add to .cursor/mcp.json (project root or global):

{
  "mcpServers": {
    "hashline-edit": {
      "command": "bunx",
      "args": ["mcp-hashline-edit-server"]
    }
  }
}

Any MCP client

Server runs over stdio:

bunx mcp-hashline-edit-server

From source

git clone https://github.com/Submerisble/mcp-hashline-edit-server.git
cd mcp-hashline-edit-server
bun install
bun run src/index.ts

Tools

read_file

Read file with hashline-prefixed output (LINE:HASH|content).

Parameter Type Description
path string File path (relative or absolute)
offset number? Start line (1-indexed)
limit number? Max lines (default: 2000)

edit_file

Edit file using hash-verified line references. Four edit variants:

set_line — Replace single line:

{"set_line": {"anchor": "2:f1", "new_text": "  return \"universe\";"}}

replace_lines — Replace range:

{"replace_lines": {"start_anchor": "1:a3", "end_anchor": "3:0e", "new_text": "function greet() {\n  return \"hi\";\n}"}}

insert_after — Insert after line:

{"insert_after": {"anchor": "1:a3", "text": "  // new comment"}}

replace — Fuzzy substring replace (fallback, no hashes needed):

{"replace": {"old_text": "return \"world\"", "new_text": "return \"universe\""}}
Parameter Type Description
path string File path
edits array Edit operations

Edits validated atomically against file as last read. Sorted, applied bottom-up automatically.

write_file

Create or overwrite file.

Parameter Type Description
path string File path
content string Content to write

grep

Search files with hashline-prefixed results.

Parameter Type Description
pattern string Regex pattern
path string? File or directory
glob string? Filter by glob (e.g., *.js)
type string? Filter by file type
i boolean? Case-insensitive
pre number? Context lines before
post number? Context lines after
limit number? Max matches (default: 100)

Requires rg (ripgrep) on system.

How the Hash Works

  1. Strip trailing \r
  2. Remove all whitespace
  3. xxHash32 on whitespace-stripped string
  4. Modulo 256, encode as 2-char lowercase hex (00-ff)

Hash whitespace-insensitive — indentation changes don't affect hash, references robust against reformatting.

Error Recovery

Hash mismatch: Error shows updated LINE:HASH refs with >>> markers. Copy new refs, retry.

No-op error: Replacement matches current content. Re-read file for current state.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured