How do I install Clouddocs?

Clouddocs is a local plugin. Install it using npm package: @reneturcios/clouddocs and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Clouddocs safe to use?

Clouddocs scored 5.8/10 (moderate risk) in MCP Marketplace's automated security scan. It has 2 high or critical findings to review. It's listed, but review the security report on this page before installing.

What AI apps work with Clouddocs?

Clouddocs uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

Back to Browse

Clouddocs MCP Server

by CloudCorpRecords

Developer ToolsModerate5.8MCP RegistryLocal

Free

Server data from the Official MCP Registry

Search, read, and get recommendations for AWS documentation pages.

About

Search, read, and get recommendations for AWS documentation pages.

Security Report

5.8

Moderate5.8Moderate Risk

clouddocs is a read-only client for public AWS documentation that needs no credentials and restricts page reads and recommendations to AWS documentation hosts. The code has no shell execution, no hardcoded secrets, no obfuscation, and no data exfiltration paths. Remaining issues are low-severity: redirects are followed without re-validating the final host, and responses and search limits are not size-capped. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.

8 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-cloudcorprecords-clouddocs": {
      "args": [
        "-y",
        "@reneturcios/clouddocs"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

clouddocs

clouddocs is a reading room for AWS documentation. It searches the official AWS documentation index for a phrase, opens a documentation page and returns it as clean markdown-style text you can page through in slices, and suggests the related documentation pages a page points to. It works from the command line or as an MCP server for agents, and it needs no AWS account and no API key: everything it reads is the public documentation site.

Only AWS documentation addresses are accepted for reading and recommendations — docs.aws.amazon.com, aws.amazon.com, and their subdomains. Any other host is refused before a request is made.

Install

npx @reneturcios/clouddocs search "s3 bucket naming"

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/clouddocs

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

# Search the documentation index
clouddocs search "s3 bucket naming rules"
clouddocs search "lambda execution role" --limit 5 --json

# Read a page as markdown-style text, optionally one window of it
clouddocs read https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html
clouddocs read https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html --start-index 5000 --max-length 5000

# Related pages for a documentation page
clouddocs recommend https://docs.aws.amazon.com/AmazonS3/latest/userguide/bucketnamingrules.html

clouddocs --version

Exit codes: 0 on success, 1 when a search or fetch fails (the error names the problem), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/clouddocs mcp

MCP client configuration:

{
  "mcpServers": {
    "clouddocs": {
      "command": "npx",
      "args": ["-y", "@reneturcios/clouddocs", "mcp"]
    }
  }
}

Tools

Tool	Input	What it returns
`search_documentation`	`search_phrase` (string, required), `limit` (integer, optional)	Matching documentation pages: title, URL, and a short summary for each. Search runs against the official search endpoint at `search.docs.aws.amazon.com`.
`read_documentation`	`url` (string, required), `max_length` (integer, optional), `start_index` (integer, optional)	The page converted to markdown-style text: headings, links, lists, and code blocks preserved, navigation and scripts removed. `start_index` and `max_length` select a window of the converted text so long pages can be read in slices.
`recommend`	`url` (string, required)	Related AWS documentation pages for the given page: the documentation pages it links to, in order, de-duplicated.

Development

npm install
npm run build   # tsc -> dist/
npm test        # node test runner over test/*.test.ts, no network (fake fetch fixtures)
npm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

Reviews

No reviews yet

Be the first to review this server!

4.8

Local

MCP Marketplace

Free

by mcp-marketplace · Developer Tools

Search and install MCP servers from inside your AI client.