Borrowing it
Nothing to install: this file belongs to mrgorrin40-TP/mcp-excel-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mrgorrin40-TP/mcp-excel-server/main/AGENTS.mdgit clone --depth 1 https://github.com/mrgorrin40-TP/mcp-excel-serverWrote 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.
[](https://agentmods.dev/instructions/mrgorrin40-tp/mcp-excel-server/agents-md)<a href="https://agentmods.dev/instructions/mrgorrin40-tp/mcp-excel-server/agents-md"><img src="https://agentmods.dev/badge/instructions/mrgorrin40-tp/mcp-excel-server/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/mrgorrin40-tp/mcp-excel-server/agents-md"><img src="https://agentmods.dev/badge/instructions/mrgorrin40-tp/mcp-excel-server/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01680 | $0.01680 |
| Opus 5.5 | $0.00672 | $0.00672 |
| Sonnet 5.5 | $0.00336 | $0.00336 |
| Haiku 4.5 | $0.00168 | $0.00168 |
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 1mo 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.
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
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.
- 1mo ago First seen · 254 lines · 1,680 tokens per session scan A dfb073e8ad52
mcp-excel-server AGENTS.md is an instructions file published in the GitHub repository mrgorrin40-TP/mcp-excel-server (0 stars, last pushed 3mo ago), licensed MIT. It adds 1,680 tokens to every session, about $0.0067 per session on Opus 5.5. 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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