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dabito

hledit-mcp

by dabito

hledit-mcp

npm version License: MIT MCP Registry Glama

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.

Related MCP server: hashfile-mcp

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

Variable

Default

Description

HLEDIT_BIN

hledit (on PATH)

Path to the hledit binary, if not on PATH.

HLEDIT_CWD

server'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_DIFF

0

Opt-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_LINES

80

Max diff lines when HLEDIT_MCP_DIFF is enabled, including the omission marker. Minimum accepted value: 3.

HLEDIT_MCP_DIFF_CONTEXT

2

Context lines around changed ranges when diff output is enabled. Minimum accepted value: 0.

HLEDIT_MCP_DIFF_MAX_CELLS

40000

Max LCS comparison cells before diff body is omitted. Minimum accepted value: 1.

Tool

hledit

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

op

Purpose

read

Read annotated lines with LN#HASH anchors

edit

Apply a single replace/insert/delete/replace-range

batch

Apply multiple anchor-referenced edits in one call

Name

Type

Required

Description

op

string

"read", "edit", or "batch"

path

string

File path

offset

number

1-indexed starting line (read)

limit

number

Max lines to return (read); defaults to 2000

context

number

Surrounding lines around each grep match; defaults to 2 when grep is set, use 0 for match-only output

grep

string

Filter lines by substring (read)

action

string

replace, insert, delete, or replace-range (edit)

end_anchor

string

End anchor for replace-range/range delete

content

string

Replacement/inserted content; empty = delete

after

boolean

For action:"insert", insert after the anchor

edits

array or string

for batch

Preferred: 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.

  • hledit — the standalone CLI both integrations wrap.

  • pi-hledit — the Pi-native integration, same tool contract.

Available Tools

1 tool
hleditHashline EditA

Read, edit, or batch-edit files using hash-anchored line references (LN#HASH). Use op:'read' to get anchors, op:'edit' for single changes, op:'batch' for multiple edits in one call. Anchors come from the most recent read and detect stale context before any write.

ParametersJSON Schema
NameRequiredDescriptionDefault
opYesOperation: 'read', 'edit', or 'batch'
grepNoFilter lines by substring (read)
pathYesFile path
afterNoFor action:'insert', insert after anchor
editsNoJSON array of batch edit ops (op: read/edit/batch)
limitNoMax lines to return (read)
actionNoEdit action: replace, insert, delete, or replace-range. Defaults to replace unless end_anchor or after imply otherwise.
anchorNoLN#HASH anchor, e.g. 12#NK
offsetNo1-indexed starting line (read)
contentNoReplacement or inserted content; empty = delete
end_anchorNoEnd anchor for replace-range/delete range

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description bears the full burden of behavioral disclosure. It discloses that anchors detect stale context before writes, which is a key behavioral trait. However, it omits details about error handling, side effects, permissions, or idempotency of write operations. For a tool with three mutable operations, more transparency would be beneficial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, front-loading the core purpose and then providing actionable usage guidance. Every sentence adds value with no unnecessary words, making it concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of three operations and 11 parameters with no output schema and no annotations, the description covers the essential workflow (read anchors then edit) and stale context detection. However, it lacks details on return formats, error handling, and safety concerns for write operations. It is adequate but not fully comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters have individual descriptions in the schema. The tool description only briefly mentions the operations and anchors, adding little beyond what the schema provides. Thus, it meets the baseline of 3 for a tool with full schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool reads, edits, or batch-edits files using hash-anchored line references, specifying the three operations (read, edit, batch) and their distinct purposes. This provides a specific verb-resource combination that distinguishes the tool even without sibling context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs when to use each operation: 'Use op:'read' to get anchors, op:'edit' for single changes, op:'batch' for multiple edits.' It also notes that anchors come from the most recent read and detect stale context, which guides the proper sequence of operations. However, it does not mention when not to use the tool or alternatives, as no siblings are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev0.1.3
    • First observedhledit

TDQS

A3.9/5.0
Disambiguation5/5

Only one tool exists, so there is no possibility for disambiguation issues. The tool combines read, edit, and batch operations into a single call, eliminating any ambiguity.

Naming Consistency5/5

With a single tool, naming consistency is inherently perfect. The name 'hledit' is short, descriptive, and follows a clear verb-noun style.

Tool Count3/5

Having only one tool feels thin for a file editing server, even though it handles multiple operations. It is borderline appropriate but could benefit from separating concerns like read and edit into distinct tools.

Completeness3/5

The tool covers reading, editing, and batch-editing files, but lacks other common file operations such as creation, deletion, or listing. This leaves notable gaps for a complete file management surface.

Maintenance

ActivitySlowing
ResponsivenessSyncing

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