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PopNx MCPMCP servers for people who use AI · explained in plain words

Cloudkb

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/cloudkb

Install

Overview

Description from the maker (original English)

Bedrock knowledge bases, data sources and retrieval as MCP tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add cloudkb -- npx -y @reneturcios/cloudkb mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cloudkb": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/cloudkb",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7233 servers in this category
  • Published to the registry more recently than 88% of the other 7233 servers in this category
  • Basic checks equal to or better than 100% of the other 7233 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cloudkb safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

cloudkb

Amazon Bedrock knowledge bases as MCP tools. cloudkb is a clean-room rebuild of the core surface of the AWS Bedrock knowledge base MCP server, under a new name: the same tool names and documented REST request shapes, fresh code, no copied branding.

Tools (core subset, 10)

list_knowledge_bases, get_knowledge_base, list_data_sources, get_data_source, list_ingestion_jobs, get_ingestion_job, start_ingestion_job, stop_ingestion_job, retrieve, retrieve_and_generate.

The first eight tools shape Bedrock Agent (control plane) requests; retrieve and retrieve_and_generate shape Bedrock Agent Runtime (data plane) requests. Request shaping is real and unit-tested; every call goes through an injectable executor interface.

Not in this subset: knowledge base and data source create, update and delete lifecycle, chunking configuration, agents and aliases, flows, prompts, guardrails, evaluation jobs, model invocation and sessions.

Setup

export AWS_ACCESS_KEY_ID=...

export AWS_SECRET_ACCESS_KEY=... export AWS_REGION=us-east-1 # optional, this is the default

Without credentials, every tool call fails with an error naming AWS_ACCESS_KEY_ID.

Signing gap, stated plainly: SigV4 signing is not implemented in this rebuild. Signing is delegated to an injectable signer/executor hook; with credentials present but no signer injected, a call fails with SigV4 signing not configured: inject a signer/executor instead of sending an unsigned request.

CLI

npx @reneturcios/cloudkb list_knowledge_bases '{}'

npx @reneturcios/cloudkb retrieve '{"knowledge_base_id":"KB1","query":"refund policy"}' npx @reneturcios/cloudkb mcp # stdio MCP server

Each tool name is a subcommand taking one JSON object argument.

MCP client config

{

"mcpServers": { "cloudkb": { "command": "npx", "args": ["-y", "@reneturcios/cloudkb", "mcp"], "env": { "AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "...", "AWS_REGION": "us-east-1" } } } }

Docker

docker run -i -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY ghcr.io/cloudcorprecords/cloudkb

Development

npm install

npm run build npm test

License

MIT

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