mcp-text-editor AGENTS.md

mcp-text-editor AGENTS.md is an instructions file for Codex, OpenCode from tumf/mcp-text-editor. It costs 1,087 tokens per session, scanned A, original, MIT.

Project instructions for tumf/mcp-text-editor, a Python server that lets coding agents edit text files line by line. They describe the project structure, dependency setup, tests, formatting, linting, and type checking.

In plain words
What is it for?
Installing dependencies, running tests and coverage, formatting code, checking types, and understanding where the server's main Python files are located.
Why use it?
They give an agent the commands and project conventions needed to work on the codebase consistently.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/tumf/mcp-text-editor/agents-md
Clone the repo
git clone --depth 1 https://github.com/tumf/mcp-text-editor

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mcp-text-editor AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/tumf/mcp-text-editor/agents-md.svg)](https://agentmods.dev/instructions/tumf/mcp-text-editor/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/tumf/mcp-text-editor/agents-md"><img src="https://agentmods.dev/badge/instructions/tumf/mcp-text-editor/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,087 This file is loaded in full into every session.
When invoked 1,087 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01087 $0.01087
Opus 5 $0.00544 $0.00544
Sonnet 5 $0.00217 $0.00217
Haiku 4.5 $0.00109 $0.00109

Measured 4d ago against content hash a0ec48c2166e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-text-editor AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - MCP Text Editor Server

This document provides guidance for AI coding agents working on this codebase.

Project Overview

MCP Text Editor Server is a Python MCP (Model Context Protocol) server providing line-oriented text file editing capabilities. It's optimized for LLM tools with efficient partial file access to minimize token usage.

Build System

Package manager: uv with hatchling as build backend.

Essential Commands

# Install dependencies
make install              # or: uv sync --all-extras

# Run all tests
make test                 # or: uv run pytest

# Run a single test file
uv run pytest tests/test_text_editor.py -v

# Run a single test function
uv run pytest tests/test_text_editor.py::test_calculate_hash -v

# Run tests matching a pattern
uv run pytest -k "test_edit" -v

# Run tests with coverage
make coverage

# Format code
make format

# Lint + typecheck
make check

# Format + typecheck + coverage (default)
make all

Project Structure

src/mcp_text_editor/
├── server.py             # FastMCP server implementation
├── text_editor.py        # Core text editor functionality
├── service.py            # Core service logic
├── models.py             # Pydantic data models
├── utils.py              # Security utilities (path validation, file locking)
└── handlers/             # MCP tool handlers (inherit from base.py)
tests/                    # Test files (pytest)

Code Style Guidelines

Formatting & Linting

  • Line length: 88 characters (Black)
  • Formatter: Black (Python 3.13 target)
  • Import sorting: isort with "black" profile
  • Linter: Ruff (pycodestyle, pyflakes, isort, flake8-comprehensions, flake8-bugbear)

Imports

# 1. Standard library
from typing import Any, Dict, List, Optional, Sequence, Tuple

# 2. Third-party
from mcp.types import TextContent
from pydantic import BaseModel, Field, model_validator

# 3. Local (relative imports within package)
from ..text_editor import TextEditor
from .base import BaseHandler

Read the full file on GitHub · 182 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 182 lines · 1,087 tokens per session scan A a0ec48c2166e

Subscribe to this mod's changes

mcp-text-editor AGENTS.md is an instructions file published in the GitHub repository tumf/mcp-text-editor (199 stars, last pushed 5mo ago), licensed MIT. It adds 1,087 tokens to every session, about $0.0054 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.