Summary
This unofficial server connects Claude to Scaleway's serverless function platform, letting you create namespaces, deploy functions, update code, fetch logs, and manage dependencies through conversation. It reads your standard Scaleway config from ~/.config/scw/config.yaml and supports all their runtimes. The author includes safety measures against destructive actions but warns they're not foolproof. You can run it over stdio or SSE transport. Reach for this when you want to manage Scaleway functions without leaving your editor or want an AI to handle deployment workflows. Works with VSCode, Crush, and other MCP-compatible tools. The download_function tool is handy for pulling existing code to work on locally.
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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
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Registryactive
Packagedocker.io/cyclimse/mcp-scaleway-functions:0.3.4
TransportSTDIO
UpdatedApr 12, 2026