Snaphost MCP

Snaphost MCP

Deploys projects straight from an AI agent to Snaphost and returns a public URL, with automatic Dockerfile generation, build/run/log management, and deploy lifecycle control.

Category
Visit Server

README

Snaphost MCP server

Deploy the project you are working on straight from your AI agent (Claude Code, Cursor, any MCP client) and get a public URL back.

No Dockerfile required: if the project does not ship one, Snaphost generates it. The folder is packed locally, uploaded, built, and run — the agent gets back a URL it can hand you.

Install

npm install -g @snaphost/mcp

Or skip the install and let your agent run it through npx (see below).

Setup

  1. Mint an API key in the Snaphost dashboard under API keys, or POST /api/v1/keys. It is shown once and looks like sk_....

  2. Register the server with your agent.

    Claude Code:

    claude mcp add snaphost \
      --env SNAPHOST_API_KEY=sk_... \
      -- npx -y @snaphost/mcp
    

    Cursor (.cursor/mcp.json) — or any client using the same format:

    {
      "mcpServers": {
        "snaphost": {
          "command": "npx",
          "args": ["-y", "@snaphost/mcp"],
          "env": { "SNAPHOST_API_KEY": "sk_..." }
        }
      }
    }
    
  3. Tell the agent to deploy: "deploy this project to Snaphost".

Environment

Variable Required Default
SNAPHOST_API_KEY yes
SNAPHOST_API_URL no https://api.snaphost.ru

Tools

Tool What it does
snaphost_deploy Pack the folder, upload, build, wait, return the public URL.
snaphost_status Deploy status; URL when running.
snaphost_logs Build/runtime logs (paged via next_since).
snaphost_list Recent deploys.
snaphost_delete Stop and delete a deploy.

What gets uploaded

snaphost_deploy packs the folder into a tar.gz in memory, honouring .gitignore and .snaphostignore. These are dropped unconditionally, whatever the ignore files say:

.git  node_modules  .env  .env.*  *.local.env  .DS_Store
dist  build  .next  .nuxt  coverage  __pycache__  *.pyc  .venv  venv

Symlinks are skipped — the server rejects them. The upload is capped at 50 MB compressed by default; the ignore rules keep a typical project far below that.

Add a .snaphostignore to exclude more. .env files never leave your machine, so anything the deployed app needs at runtime has to be configured on the platform side.

If the project ships its own Dockerfile

The runtime injects a PORT environment variable and invokes the container on it. A server hard-bound to a fixed port builds and deploys fine but never receives traffic. Make it listen on process.env.PORT (or the equivalent), falling back to a local default.

Development

npm install
npm run build     # tsc -> dist/
npm run typecheck

Requires Node 20+.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured