aws-readonly-mcp

aws-readonly-mcp

A read-only MCP server that lets an LLM inspect an AWS account — list EC2 instances, S3 buckets, IAM users, and cost — with a structural guarantee against any mutations.

Category
访问服务器

README

aws-readonly-mcp

A read-only Model Context Protocol (MCP) server that lets an LLM inspect an AWS account — list EC2 instances, S3 buckets, IAM users, and cost — but never mutate it.

Why I built it

When I help teams understand their cloud, I want an LLM that can answer "what's running and what's it costing me?" without any ability to change the account. So the read-only guarantee is structural, not a matter of trusting the model.

Every AWS call routes through a single function that checks the operation name against an allow-list of read-only prefixes (describe*, list*, get*). There is no code path that can Run, Create, Delete, Terminate, or Modify anything. If the model asks for a mutation, the server refuses. Pair it with a read-only IAM policy (e.g. AWS-managed ReadOnlyAccess) for defense in depth — the server enforces it in code, IAM enforces it at the boundary.

What it does

Tool Description
list_ec2_instances EC2 instances in a region: ID, state, type, AZ
list_s3_buckets All S3 bucket names in the account
get_cost_last_30_days Total cost over the last 30 days, grouped by service
describe_iam_user Details for a single IAM user

Quick start

# 1. Install (using uv — https://docs.astral.sh/uv/)
uv sync

# 2. Configure AWS credentials. STRONGLY recommended: use a profile whose IAM
#    role has only ReadOnlyAccess, so even a bug cannot mutate anything.
export AWS_PROFILE=my-readonly-profile
aws sts get-caller-identity   # confirm you're who you expect

# 3. Run the server
uv run aws-readonly-mcp

Connect it to Claude Desktop

{
  "mcpServers": {
    "aws-readonly": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/aws-readonly-mcp", "run", "aws-readonly-mcp"],
      "env": { "AWS_PROFILE": "my-readonly-profile" }
    }
  }
}

Then ask Claude things like "Which services drove my AWS bill last month?" — it calls get_cost_last_30_days, reasons over the breakdown, and explains — but it physically cannot change your account.

Design decisions

  • Allow-list by operation prefix. Read-only AWS operations are Describe*/List*/Get*. I allow those prefixes and reject everything else, so the boundary fails closed.
  • One chokepoint. All boto3 calls go through _aws_call; the security boundary is one auditable function.
  • Defense in depth. The README pushes you toward a ReadOnlyAccess IAM role so there are two independent guarantees (code + IAM), not one.
  • Trimmed responses. Botocore ResponseMetadata is stripped so the model sees only the useful payload, saving tokens.

What I'd do next

  • Add pagination for accounts with many resources.
  • Add a small eval asserting every mutating operation is refused.
  • Support assuming a cross-account read-only role per request.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选