How does DeployStack make MCP servers available to HTTP clients?
It uses a satellite infrastructure that converts stdio-based MCP servers into HTTP/SSE endpoints, which can be consumed by any MCP client that supports HTTP transport.
@deploystackio
Basic information
Open source MCP hosting - deploy MCP servers to HTTP endpoints for n8n, Dify, Voiceflow, and any MCP client.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"deploystack": {
"type": "http",
"url": "https://satellite.deploystack.io/mcp"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
DeployStack is an open-source platform that hosts MCP (Model Context Protocol) servers as HTTP/SSE endpoints, integrating with GitHub to deploy any stdio MCP server in seconds. It is designed for users of workflow automation platforms like n8n, Dify, Voiceflow, Langflow, and AI coding tools like Claude Code and Cursor, eliminating the need for local setup or DevOps.
Sign up at cloud.deploystack.io, then deploy MCP servers from GitHub repositories or install from the curated catalog. Configure your MCP client with a single HTTP URL (e.g., https://satellite.deploystack.io/mcp) to access all team MCP tools. For self-hosting, run docker-compose up after cloning the repository.
It uses a satellite infrastructure that converts stdio-based MCP servers into HTTP/SSE endpoints, which can be consumed by any MCP client that supports HTTP transport.
The router exposes only two meta-tools (discover and execute), achieving up to 98% token reduction compared to loading all tools from multiple servers into context.
Credentials are stored in an encrypted vault at rest and automatically injected at runtime. They are never placed in config files or shared via Slack.
Yes, DeployStack is open-source under AGPL-3.0. You can run it on your own infrastructure using Docker Compose.
It works with any MCP client that supports HTTP/SSE, including n8n, Dify, Voiceflow, Langflow, Claude Code, Cursor, VS Code, Windsurf, and custom integrations.
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