Access Sevalla's Platform-as-a-Service API through a streamlined MCP interface with two core tools. Designed for developers integrating Sevalla hosting services into AI workflows.
io.github.sevalla-hosting/mcp
https://mcp.sevalla.com/mcp
HTTP
No auth required
How models use it and what it is built for.
Access Sevalla's Platform-as-a-Service API through a streamlined MCP interface with two core tools. Designed for developers integrating Sevalla hosting services into AI workflows.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for Sevalla.
Paste any of these into Agent Studio after connecting Sevalla.
Common questions about connecting and running Sevalla.
What is the Sevalla MCP server and what can it do?
The Sevalla MCP is an official Model Context Protocol server that exposes Sevalla's Platform-as-a-Service API through two simplified tools. It allows developers to integrate Sevalla hosting operations directly into AI-assisted workflows via the HTTP endpoint at mcp.sevalla.com.
How do I set up and authenticate with the Sevalla MCP server?
The server is hosted at https://mcp.sevalla.com/mcp and uses HTTP transport. Consult Sevalla's official documentation or the server's configuration guide for required API credentials and authentication headers needed to connect.
What are the two main tools in this MCP server?
The registry lists the server as providing 'full PaaS API access through just 2 tools,' but specific tool names and capabilities are not detailed in the available metadata. Refer to the official Sevalla documentation or connect to the endpoint to discover the exact tools and their parameters.
Is there pricing or usage limits for the Sevalla MCP server?
Pricing and usage limits are not specified in the available registry metadata. Contact Sevalla directly or check their website for current pricing, rate limits, and any free tier details.
What should I know before integrating the Sevalla MCP into my workflow?
Ensure your environment can reach https://mcp.sevalla.com/mcp over HTTP and that you have valid Sevalla API credentials configured. Test the connection and tool availability in a development environment before deploying to production.
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