d365fo-client: Instructions file for Codex

AGENTS.md

d365fo-client AGENTS.md is an instructions file for Codex, OpenCode from mafzaal/d365fo-client. It costs 3,256 tokens per session, scanned A, original, MIT.

An instruction guide for AI agents working with Microsoft Dynamics 365 Finance and Operations, Microsoft's business system for areas such as finance, sales, and supply chains. It explains how to use the d365fo-client MCP server, which lets an agent interact with that system.

In plain words
What is it for?
Use it when an agent needs to connect to Dynamics 365 Finance and Operations, inspect its environment, discover data entities, or follow the server's workflows.
Why use it?
It gives agents an ordered way to check access, understand the environment, and find available data instead of guessing how the system is organised.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is mafzaal/d365fo-client's own configuration. It tells Codex and OpenCode how to work on d365fo-client itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything d365fo-client configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mafzaal/d365fo-client. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mafzaal/d365fo-client/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mafzaal/d365fo-client

Made for: Codex, OpenCode.

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Per session 3,256 This file is loaded in full into every session.
When invoked 3,256 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.03256 $0.03256
Opus 5.5 $0.01302 $0.01302
Sonnet 5.5 $0.00651 $0.00651
Haiku 4.5 $0.00326 $0.00326

Measured 2mo ago against content hash f962c0d1e00f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

d365fo-client 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 2mo 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 · 535 lines

How it starts

The opening of the file, as written. The whole thing — 535 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Guide for D365FO MCP Server

This guide is specifically designed for AI agents and assistants to effectively interact with Microsoft Dynamics 365 Finance & Operations through the d365fo-client MCP server. It provides structured workflows, best practices, and common patterns for successful automation and integration.

Architecture Overview

The d365fo-client MCP server provides 49 comprehensive tools organized across 9 functional categories, implemented using a modern FastMCP mixin-based architecture for enhanced performance and maintainability. All tools are available through standardized MCP protocol interactions regardless of the underlying implementation.

Quick Start for AI Agents

Essential First Steps

  1. Test Connectivity: Always start with d365fo_test_connection to verify environment access
  2. Get Environment Info: Use d365fo_get_environment_info to understand the D365FO environment capabilities
  3. Explore Available Entities: Use d365fo_search_entities to discover relevant data entities for your tasks
// Step 1: Test connection
{
  "tool": "d365fo_test_connection",
  "arguments": {}
}

// Step 2: Get environment information
{
  "tool": "d365fo_get_environment_info",
  "arguments": {}
}

// Step 3: Search for relevant entities
{
  "tool": "d365fo_search_entities",
  "arguments": {
    "pattern": "customer",
    "limit": 10
  }
}

Core Workflows for AI Agents

1. Data Discovery and Exploration

Use Case: Understanding available data structures and relationships

// Discover entities by business area
{
  "tool": "d365fo_search_entities",
  "arguments": {
    "pattern": "sales|customer|invoice",
    "category": "Master",
    "limit": 20
  }
}

// Get detailed schema for specific entity
{
  "tool": "d365fo_get_entity_schema",
  "arguments": {
    "entityName": "CustomersV3",
    "includeProperties": true,
    "includeKeys": true,
    "resolveLabels": true
  }
}

// Search for related actions
{
  "tool": "d365fo_search_actions",
  "arguments": {
    "pattern": "customer",
    "limit": 10
  }
}

Read the full file on GitHub · 535 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. 2mo ago First seen · 535 lines · 3,256 tokens per session scan A f962c0d1e00f

Subscribe to this mod's changes

d365fo-client AGENTS.md is an instructions file published in the GitHub repository mafzaal/d365fo-client (40 stars, last pushed 3d ago), licensed MIT. It adds 3,256 tokens to every session, about $0.0130 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 2026-08-30.

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