alibabacloud-dms-mcp-server: Instructions file for Codex

AGENTS.md

alibabacloud-dms-mcp-server AGENTS.md is an instructions file for Codex, OpenCode from aliyun/alibabacloud-dms-mcp-server. It costs 2,416 tokens per session, scanned A, original, Apache-2.0.

A repository guide for a project that provides Alibaba Cloud DMS and DTS data-management services through an MCP server and agent skills. Alibaba Cloud DMS is a service for managing databases, while MCP is a way for agents to connect to tools.

In plain words
What is it for?
Use it when working in this repository and needing guidance on its Python server, database-management skills, folders, or agent instructions.
Why use it?
It gives agents the project's structure, operating rules, and environment requirements before they work on the code or skills.

Instructions file for CodexOpenCode

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

This is aliyun/alibabacloud-dms-mcp-server's own configuration. It tells Codex and OpenCode how to work on alibabacloud-dms-mcp-server 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 alibabacloud-dms-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to aliyun/alibabacloud-dms-mcp-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.

Copy the file
curl -O https://raw.githubusercontent.com/aliyun/alibabacloud-dms-mcp-server/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/aliyun/alibabacloud-dms-mcp-server

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Your own site
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Per session 2,416 This file is loaded in full into every session.
When invoked 2,416 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.02416 $0.02416
Opus 5.5 $0.00966 $0.00966
Sonnet 5.5 $0.00483 $0.00483
Haiku 4.5 $0.00242 $0.00242

Measured 2mo ago against content hash d855a1cdb785, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

alibabacloud-dms-mcp-server AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL https://aliyuncli.alicdn.com/aliyun-cli-linux-latest-amd64.tgz -o /tmp/aliyun-cli.tgz
AGENTS.md · 217 lines

How it starts

The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Overview

This project serves a dual purpose:

  1. MCP Server: A Python-based MCP (Model Context Protocol) Server for Alibaba Cloud DMS (Data Management Service), providing AI-powered unified data management gateway capabilities.
  2. Agent Skills: A self-contained set of AI Agent skills for DMS Enterprise, enabling agents to directly manage DMS resources via OpenAPI without depending on MCP protocol.

These two capabilities are independent. The MCP Server is the original core, while the skills layer is an overlay that allows any AI agent (Codex, ChatGPT, Cursor, etc.) to use DMS skills natively.

Project Structure & Module Organization

.
├── src/                           # MCP Server source code (Python)
│   ├── alibabacloud_dms_mcp_server/   # DMS MCP server
│   └── alibabacloud_dts_mcp_server/   # DTS MCP server
├── skills/                        # Agent Skills (independent of MCP)
│   ├── database/
│   │   └── dms/
│   │       └── alicloud-database-dms-enterprise/
│   │           ├── SKILL.md       # Skill definition & workflow (ENTRY POINT)
│   │           ├── agents/        # Agent interface config (openai.yaml)
│   │           ├── references/    # API sources, SDK docs, parameter reference, query examples
│   │           ├── scripts/       # Runnable scripts (list instances, search DB, execute SQL, API discovery)
│   │           └── output/        # Generated artifacts (API lists, docs)
│   ├── examples/                  # DMS 场景提示词样例
│   │   └── prompts/               # 按场景分类的提示词模板
│   └── scripts/                   # Skills maintenance tools
│       ├── generate_skill_index.py
│       ├── generate_readme_skill_sections.py
│       └── update_skill_index.sh
├── doc/                           # MCP Server documentation
├── tests/                         # Tests
├── pyproject.toml                 # Python project config
└── README.md                      # Project README

Using Skills (for AI Agents)

Environment Requirements

Read the full file on GitHub · 217 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 · 217 lines · 2,416 tokens per session scan A d855a1cdb785

Subscribe to this mod's changes

alibabacloud-dms-mcp-server AGENTS.md is an instructions file published in the GitHub repository aliyun/alibabacloud-dms-mcp-server (54 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 2,416 tokens to every session, about $0.0097 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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