The MCP server manages and deploys Scaleway Serverless Functions using the Model Context Protocol standard.
From the registry: Unofficial MCP Server for Scaleway Serverless Functions
Please install the `mcp-scaleway-functions` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Download mcp-scaleway-functions binary** — Download the latest release for your platform from GitHub Releases, or build from source with Go (https://github.com/cyclimse/mcp-scaleway-functions/releases)
- **Scaleway credentials** — Configure Scaleway auth via ~/.config/scw/config.yaml or SCW_* environment variables (https://www.scaleway.com/en/docs/scaleway-cli/reference-content/environment-variables/)
Canonical MCP server config (stdio transport):
- command: `node`
- args: ["--transport","stdio"]
- optional environment variables:
- `SCW_DEFAULT_REGION`: Scaleway region to work in (example: `nl-ams`)
- `SCW_SECRET_KEY`: Scaleway secret key (alternative to config.yaml) (example: `<your-scw-secret-key>`)
Note: Binary name is `mcp-scaleway-functions` (Go). The command should be the absolute path to the downloaded binary; use args [--transport, stdio]. Default transport is SSE on http://localhost:8080.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.SCW_SECRET_KEYrequiredAPI key required for accessing Scaleway Generative APIs.SCW_DEFAULT_REGIONSets the region to work in.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
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