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hledit MCP

by dabitoversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.dabito/hledit-mcp

Install

Overview

Description from the maker (original English)

Hash-anchored file edits for MCP clients. Rejects stale writes before they happen.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "hledit": {
      "command": "npx",
      "args": [
        "-y",
        "hledit-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add hledit -- npx -y hledit-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "hledit": {
      "command": "npx",
      "args": [
        "-y",
        "hledit-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "hledit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "hledit-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dabito, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32706 servers in this category
  • Published to the registry more recently than 16% of the other 32706 servers in this category
  • Basic checks equal to or better than 100% of the other 32706 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is hledit MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Kanal Varna — drains, leaks & plumbing (Varna, BG)

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

hledit-mcp

hledit-mcp is an MCP server exposing hledit's hash-anchored file edits to standard MCP clients such as Claude Code, Claude Desktop, and Cursor.

Same idea as pi-hledit (the Pi-native integration), but over MCP instead of Pi's extension API, so the same edit primitive can be used from MCP-compatible clients. Official MCP Registry: io.github.dabito/hledit-mcp.

Instead of asking an agent to reproduce old text exactly, hledit read annotates each line with a stable anchor:

5#K7Q:func main() {

6#M9A: fmt.Println("hello") 7#R2C:}

Write commands reference anchors such as 6#M9A. Before changing the file, hledit recomputes the hash at that line. If the file changed since it was read, the anchor is rejected and no write happens — the agent gets a stale error and a remap hint instead of silently corrupting the wrong line.

Demo

See docs/demo/transcript.md for a deterministic MCP stdio transcript showing stale-write rejection over the actual hledit-mcp tool surface.

The transcript is generated by docs/demo/hledit-mcp-demo.mjs, which drives dist/index.js through @modelcontextprotocol/sdk's stdio client. It does not call hledit directly.

MCP server for stale-write-safe file editing

hledit-mcp gives MCP-compatible coding agents one file-editing tool that reads line anchors, validates those anchors against current file contents, and rejects stale writes before touching disk. It is for local workspace edits where you want explicit stale-context failure instead of blind text replacement.

Why MCP, separately from pi-hledit

pi-hledit and hledit-mcp share the same tool contract (core.ts in this repo — arg-building, batch translation, result formatting) and the same underlying hledit CLI. Only the registration/execution glue differs: pi-hledit wires that contract into Pi's registerTool, this wires it into @modelcontextprotocol/sdk's McpServer. MCP has no equivalent of Pi's renderCall/renderResult terminal rendering, so this package doesn't have one either — that layer is genuinely Pi-specific chrome, not part of the portable tool contract.

Use hledit-mcp when you want stale-write rejection over an MCP tool boundary instead of relying on a host's native text replacement behavior.

Requirements

  • Go 1.21+ to install the hledit CLI (or a prebuilt binary on PATH)
  • Node.js 18+
  • An MCP-compatible client

Install

Install the hledit CLI first:

go install github.com/dabito/hledit@latest

Then configure your MCP client to run hledit-mcp. For Claude Code, verify the current CLI syntax with claude mcp add --help; recent versions use:

claude mcp add hledit -- npx -y hledit-mcp

Claude Desktop and other MCP clients can use the same stdio server shape:

{

"mcpServers": { "hledit": { "command": "npx", "args": ["-y", "hledit-mcp"], "env": { "HLEDIT_CWD": "/path/to/workspace" } } } }

Set HLEDIT_CWD to the workspace the MCP client should allow hledit to edit.

Configuration
VariableDefaultDescription
HLEDIT_BINhledit (on PATH)Path to the hledit binary, if not on PATH.
HLEDIT_CWDserver's process.cwd()Working directory hledit resolves relative paths against. Keep this scoped to the workspace you expect the MCP client to edit.
HLEDIT_MCP_DIFF0Opt-in textual diff output for successful edit/batch calls. Off by default to keep MCP/model context compact. Set 1, true, or yes to enable.
HLEDIT_MCP_DIFF_MAX_LINES80Max diff lines when HLEDIT_MCP_DIFF is enabled, including the omission marker. Minimum accepted value: 3.
HLEDIT_MCP_DIFF_CONTEXT2Context lines around changed ranges when diff output is enabled. Minimum accepted value: 0.
HLEDIT_MCP_DIFF_MAX_CELLS40000Max LCS comparison cells before diff body is omitted. Minimum accepted value: 1.

Tool

hledit

One tool, three operations, matching pi-hledit's contract exactly:

opPurpose
readRead annotated lines with LN#HASH anchors
editApply a single replace/insert/delete/replace-range
batchApply multiple anchor-referenced edits in one call
NameTypeRequiredDescription
opstring✓"read", "edit", or "batch"
pathstring✓File path
offsetnumber1-indexed starting line (read)
limitnumberMax lines to return (read); defaults to 2000
contextnumberSurrounding lines around each grep match; defaults to 2 when grep is set, use 0 for match-only output
grepstringFilter lines by substring (read)
actionstringreplace, insert, delete, or replace-range (edit)
end_anchorstringEnd anchor for replace-range/range delete
contentstringReplacement/inserted content; empty = delete
afterbooleanFor action:"insert", insert after the anchor
editsarray or stringfor batchPreferred: structured array of batch edit ops (replace/delete/insert). Legacy JSON string still accepted.

Workflow: read to get anchors → edit (single change) or batch (multiple). If an edit returns stale, re-read to get fresh anchors before retrying — the anchor's line moved or changed since it was read.

Successful edit and batch calls return concise summaries, including Lines: +N -M when the installed hledit CLI provides line delta metadata (hledit >= 1.2.4). Older hledit versions still work; they just omit the line delta summary.

Contextual grep uses a small default window (context:2) when grep is set; pass context:0 for match-only output.

Set HLEDIT_MCP_DIFF=1 to append a capped fenced diff block for successful edits. Leave it off for the most token-economical MCP responses.

Preferred batch shape uses structured edits so the MCP/RPC layer handles escaping:

{

"op": "batch", "path": "src/file.ts", "edits": [ { "op": "replace", "anchor": "12#NKT", "lines": ["const ok = true;"] } ] }

Contextual grep example:
{ "op": "read", "path": "src/file.ts", "grep": "validateToken" }

Match-only grep example:

{ "op": "read", "path": "src/file.ts", "grep": "validateToken", "context": 0 }

Legacy JSON-string edits remains supported during the transition.

Default read calls are bounded: when offset/limit are omitted, the server uses offset=1 and limit=2000.

Development

npm install

npm test # typecheck + build + unit/e2e tests + lint npm run build # compile index.ts+core.ts to dist/index.js npm start # run the server directly from source via tsx (stdio transport)

Unit tests in core.test.ts cover the same contract as pi-hledit's test suite, minus the Pi-specific rendering assertions (there's no render layer here). e2e.test.ts drives the built dist/index.js over a real MCP stdio handshake with @modelcontextprotocol/sdk's own Client/StdioClientTransport — the same artifact npx hledit-mcp runs, not just the TypeScript source.

The published bin/main point at dist/index.js, built with esbuild (build.mjs) and run via plain node — this keeps the >=18 Node requirement honest. Running index.ts directly with node (no tsx) only works on Node ≥22.6, which has built-in TypeScript type-stripping; older LTS versions have no such support at all.

Credits and prior art

The hashline-edit idea comes from Can Bölük / @can1357's coding-agent harness work, especially “I Improved 15 LLMs at Coding in One Afternoon. Only the Harness Changed.” and oh-my-pi. See hledit's credits for more prior art.

Related packages

  • hledit — the standalone CLI both integrations wrap.
  • pi-hledit — the Pi-native integration, same tool contract.
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