mcp copilot-instructions.md

mcp copilot-instructions.md is an instructions file for GitHub Copilot from duplocloud/mcp. It costs 737 tokens per session, scanned A, original, MIT.

A set of instructions for using GitHub Copilot with the DuploCloud MCP server, a service that exposes DuploCloud commands to AI agents.

In plain words
What is it for?
Use it when developing, testing, or changing the DuploCloud MCP server and its dynamically registered duploctl commands.
Why use it?
It explains the repository's structure and how its commands are discovered and registered, helping Copilot work with the project accurately.

Instructions file for GitHub Copilot

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/duplocloud/mcp/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/duplocloud/mcp

Made for: GitHub Copilot.

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 copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/duplocloud/mcp/copilot-instructions.svg)](https://agentmods.dev/instructions/duplocloud/mcp/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/duplocloud/mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/duplocloud/mcp/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 737 This file is loaded in full into every session.
When invoked 737 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 $0.00737 $0.00737
Opus 5 $0.00368 $0.00368
Sonnet 5 $0.00147 $0.00147
Haiku 4.5 $0.00074 $0.00074

Measured 2d ago against content hash 1bd1c2ffe587, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp copilot-instructions.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 2d 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.

.github/copilot-instructions.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Copilot Instructions for the DuploCloud MCP Server

This document provides instructions for GitHub Copilot to effectively assist with development in this repository.

Project Overview

This project is a FastMCP server that acts as a wrapper for the duplocloud-client Python package (which powers duploctl). Its primary goal is to dynamically expose duploctl commands as MCP (Model-Context-Protocol) tools and resources. This allows AI agents and other MCP-compatible clients to interact with the DuploCloud platform programmatically.

The core logic for this wrapping and registration is in duplocloud/mcp/server.py.

Key Concepts & Architecture

1. Dynamic duploctl Command Registration

The central feature of this server is its ability to dynamically discover and register duploctl commands.

  • Source of Commands: Commands are defined in the duplocloud-client library using the @Command decorator.
  • Discovery Mechanism: The server uses the schema object from duplocloud.commander to get a registry of all available commands.
  • Registration Logic: The _register_resource_commands method in duplocloud/mcp/server.py iterates through this schema and registers each command as an MCP tool. Read-only operations are also marked for registration as MCP resources.

2. Important duplocloud-client Modules

When working on this project, you will frequently need to reference the source code of the duplocloud-client package. It is installed in the virtual environment.

  • Path: /workspaces/mcp/.venv/lib/python3.13/site-packages/duplocloud/
  • commander.py: This file is critical. It contains the @Command and @Resource decorators and maintains the schema dictionary, which is the source of truth for all registered commands.
  • client.py: This is the main entry point for the duplocloud-client. The DuploClient class handles configuration, authentication, and loading resources. The MCP server instantiates this client to execute commands.

Read the full file on GitHub · 46 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. 2d ago First seen · 46 lines · 737 tokens per session scan A 1bd1c2ffe587

Subscribe to this mod's changes

mcp copilot-instructions.md is an instructions file published in the GitHub repository duplocloud/mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 737 tokens to every session, about $0.0037 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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