Show It Works
RemoteAbout Show It Works
Verification videos for AI coding agents: record the run, upload over MCP, share a viewer link.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://showitworks.app/api/mcpclaude mcp add --transport http app-showitworks-show-it-works https://showitworks.app/api/mcp{"mcpServers":{"app-showitworks-show-it-works":{"type":"http","url":"https://showitworks.app/api/mcp"}}}Open in Cursor{"servers":{"app-showitworks-show-it-works":{"type":"http","url":"https://showitworks.app/api/mcp"}}}Open in VS Code{"mcpServers":{"app-showitworks-show-it-works":{"type":"http","url":"https://showitworks.app/api/mcp"}}}{"mcpServers":{"app-showitworks-show-it-works":{"serverUrl":"https://showitworks.app/api/mcp"}}}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.
https://showitworks.app/api/mcpAuth requiredTools
7| Parameter | Type | Required | Description |
|---|---|---|---|
| title | string | Yes | |
| byteSize | integer | Yes | |
| filename | string | Yes | |
| mimeType | enum | Yes | video/mp4 | video/webm |
| taskName | string | No | Concise public task name. Omit it if the task name is not safe to publish. |
| ownerContext | string | No | Detailed context shown to every member of the project, never to public-link viewers. |
| worktreeName | string | No | Public git worktree or repository name. Omit it if the real name is not safe to publish. |
| publicContext | string | No | Context explicitly confirmed safe for anyone with the public viewer link. Never derive it from private context. |
| workspaceName | any | No | Deprecated alias for worktreeName, kept for agents on an older skill version. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
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.