mcp-excel-server AGENTS.md

mcp-excel-server AGENTS.md is an instructions file for Codex, OpenCode from mrgorrin40-TP/mcp-excel-server. It costs 1,680 tokens per session, scanned A, original, MIT.

Instructions for agents using an MCP server that reads, writes, analyses, and transforms Excel spreadsheets. They define safe file-handling and pagination practices.

In plain words
What is it for?
Use them when working with Excel files through this server, especially before writing data or reading large worksheets.
Why use it?
They reduce mistakes such as writing to the wrong workbook or loading very large ranges at once.

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/mrgorrin40-tp/mcp-excel-server/agents-md
Clone the repo
git clone --depth 1 https://github.com/mrgorrin40-TP/mcp-excel-server

Made for: Codex, OpenCode.

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README.md
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Per session 1,680 This file is loaded in full into every session.
When invoked 1,680 The same file — it is already loaded in full.
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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 $0.01680 $0.01680
Opus 5 $0.00840 $0.00840
Sonnet 5 $0.00336 $0.00336
Haiku 4.5 $0.00168 $0.00168

Measured 4d ago against content hash dfb073e8ad52, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp-excel-server 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 · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - Guide for AI Agents

This document provides guidance for AI agents interacting with the MCP Excel Server.

Overview

MCP Excel Server exposes Excel file manipulation capabilities through the Model Context Protocol. Use the available tools to read, write, analyze, and transform Excel files (.xlsx).

Key Principles

1. Always Use Absolute Paths

✓ CORRECT: "C:/Documents/data.xlsx"
✓ CORRECT: "/home/user/documents/data.xlsx"
✗ WRONG: "data.xlsx"
✗ WRONG: "../data.xlsx"

2. Check Before Writing

Always verify file and sheet existence before writing:

1. Call describe_workbook() to verify file exists
2. Call list_sheets() to see available worksheets
3. Then proceed with write operations

3. Use Pagination for Large Data

Never read entire large files at once:

✓ CORRECT: read_range(range="A1:J100", page_size=100)
✗ WRONG: read_range(range="A1:Z10000")

Tool Reference

Reading Tools

read_cell

Read a single cell value.

Parameters:
  - file_path: str (required) - Absolute path to Excel file
  - sheet_name: str (required) - Worksheet name
  - cell: str (required) - Cell reference (e.g., "A1")

Returns: Cell value (string, number, or null)
read_range

Read multiple cells in a range.

Parameters:
  - file_path: str (required) - Absolute path to Excel file
  - sheet_name: str (required) - Worksheet name
  - range: str (required) - Range notation (e.g., "A1:C10")
  - page_size: int (optional) - Rows per page (default: 100)

Returns: 2D array of values
get_sheet_info

Get metadata about a worksheet.

Parameters:
  - file_path: str (required) - Absolute path to Excel file
  - sheet_name: str (required) - Worksheet name

Returns: Column names, types, row count, sample data
search_cells

Search for values in a worksheet.

Parameters:
  - file_path: str (required) - Absolute path to Excel file
  - query: str (required) - Search term
  - sheet_name: str (optional) - Specific sheet or all sheets

Returns: List of matching cells with locations

Read the full file on GitHub · 254 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 · 254 lines · 1,680 tokens per session scan A dfb073e8ad52

Subscribe to this mod's changes

mcp-excel-server AGENTS.md is an instructions file published in the GitHub repository mrgorrin40-TP/mcp-excel-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,680 tokens to every session, about $0.0084 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 2026-08-31.

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