MCP Scaleway Functions

Name: MCP Scaleway Functions
Author: cyclimse

by cyclimseversion 0.3.4i★ –iRuns on your computer

Registry nameio.github.cyclimse/mcp-scaleway-functions

Install

Overview

Description from the maker (original English)

Unofficial MCP Server for Scaleway Serverless Functions

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Other

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

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "scaleway-functions": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/cyclimse/mcp-scaleway-functions:0.3.4"
      ]
    }
  }
}

Run this in your terminal

claude mcp add scaleway-functions -- docker run -i --rm docker.io/cyclimse/mcp-scaleway-functions:0.3.4

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "scaleway-functions": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/cyclimse/mcp-scaleway-functions:0.3.4"
      ]
    }
  }
}

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": {
    "scaleway-functions": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/cyclimse/mcp-scaleway-functions:0.3.4"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account cyclimse, 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 Otheri

More stars than 0% of the other 32744 servers in this category
Published to the registry more recently than 6% of the other 32744 servers in this category
Basic checks equal to or better than 100% of the other 32744 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 MCP Scaleway Functions 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 (0.3.4) reached the registry 7 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Date Math

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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.

MCP Scaleway Functions

Model Context Protocol (MCP) server to manage and deploy Scaleway Serverless Functions using the Model Context Protocol standard.

[!CAUTION]

This project is unofficial and not affiliated with or endorsed by Scaleway.

Some small safety measures are in place to prevent the LLM from doing destructive actions,

but they're not foolproof.

Use at your own risk.

Getting Started

Download the latest release from the releases page or build it from source using Go.

Run the MCP server:

./mcp-scaleway-functions

By default, the MCP server runs with the SSE transport on http://localhost:8080, but you can also change it to use Standard I/O (stdio) transport via the --transport stdio flag.

Then, configure your IDE or tool of choice to connect to the MCP server. Here are some examples:

VSCode (sse example)

Add a new server configuration in your .vscode/mcp.json file:

"servers": { "mcp-scaleway-functions": { "url": "http://localhost:8080", "type": "http", } }, }

Crush (stdio example)

Crush is an open-source coding agent that supports MCP. You can find more information about in the Crush repository.

Add a new server configuration in your ~/.config/crush/crush.json file:

"$schema": "https://charm.land/crush.json", "mcp": { "scaleway-functions": { "type": "stdio", "command": "mcp-scaleway-functions", "args": ["--transport", "stdio"], "timeout": 600, "disabled": false } } }

You can even use Crush with Scaleway Generative APIs by adding a new provider in the same ~/.config/crush/crush.json file:

"mcp": { // ... see above ... }, "providers": { "scaleway": { "name": "Scaleway", "base_url": "https://api.scaleway.ai/v1/", "type": "openai", // To fetch from environment variables, use the $VAR_NAME syntax. // Note: this key requires the "GenerativeApisModelAccess" permission. "api_key": "$SCW_SECRET_KEY", "models": [ { "name": "Qwen coder", "id": "qwen3-coder-30b-a3b-instruct", "context_window": 128000, "default_max_tokens": 8000 } ] } } }

That's it 🎉! Have fun vibecoding and vibedevoopsing as you please.

Configuration

By default, the MCP server reads from the standard Scaleway configuration file located at ~/.config/scw/config.yaml.

Further configuration can be done via the Scaleway environment variables to configure the MCP server.

For instance, you can set a region to work in via the SCW_DEFAULT_REGION environment variable.

SCW_DEFAULT_REGION=nl-ams ./mcp-scaleway-functions

Available Tools

Tool	Description
`create_and_deploy_function_namespace`	Create and deploy a new function namespace.
`list_function_namespaces`	List all function namespaces.
`delete_function_namespace`	Delete a function namespace.
`list_functions`	List all functions in a namespace.
`list_function_runtimes`	List all available function runtimes.
`create_and_deploy_function`	Create and deploy a new function.
`update_function`	Update the code or the configuration of an existing function.
`delete_function`	Delete a function.
`download_function`	Download the code of a function. This is useful to work on an existing function.
`fetch_function_logs`	Fetch the logs of a function.
`add_dependency`	Add a dependency to a local function. Useful for dependencies that rely on native code and therefore need Docker to be installed.

Debugging

You can enable debug logging by using the --debug flag when starting the MCP server. This will log all requests and responses to/from the Scaleway API.

To configure the log level, use the --log-level flag (default is info). Available log levels are: debug, info, warn, error.

Logs are stored in the $XDG_STATE_HOME/mcp-scaleway-functions directory (usually ~/.local/state/mcp-scaleway-functions).

Development

Running tests:

go tool gotestsum --format testdox

Generating mocks:

go tool mockery

MCP Scaleway Functions

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Date Math

README from the maker

MCP Scaleway Functions

Getting Started

VSCode (sse example)

Crush (stdio example)

Configuration

Available Tools

Debugging

Development