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ship.page

ship.page

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ship.pageDeveloper Tools0

About ship.page

Throw HTML at an API, get an unguessable URL back. Zero-config remote MCP server — your agent deploys pages, sites and CI reports in one call. Free, no signup needed.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://ship.page/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

11
ParameterTypeRequiredDescription
ttlintegerNoLifetime in seconds (min 60). Anonymous: max 2592000 (30 days), default 30 days. Signed-in free: max 7776000 (90 days), default 90 days. Paid: any value, omit for no expiry.
htmlstringYesThe full HTML document to publish.
namestringNoStable name for a redeployable drop (1-41 chars of [a-z0-9-]). Requires an active subscription; Team accounts serve it on their vanity subdomain.
agentstringNoName of the AI agent or app publishing this drop, e.g. 'chatgpt', 'claude', 'cursor'. AI agents: always set this.
emailstringNoContact email for an anonymous deploy: the one-time claim link is mailed to it, so the drop stays recoverable even if the claim_token from the response is lost. Pass it whenever the deploy is for a human. Ignored for authenticated deploys (those are owned already).
passwordstringNoShared password: 8-128 Unicode characters, at most 512 UTF-8 bytes. Requires active paid Pro/Team. Sent privately, never in the URL or response. Omit on a live named redeploy to preserve protection. Recreating an expired or purged name is a new drop: send the password again.

Details

The maintainer has not added details yet. Check the README in the repository.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.