MCP server for Hide
Most AI and media services work still happens through a UI a human drives. Hide MCP server moves it into the conversation instead. MCP server for Hide.
The server implements two tools adapted from Anthropic's computer-use-demo:
The server publishes 4 tools. What each one is for:
Tools — The server implements two tools adapted from [Anthropic's computer-use-demo](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-usBash — A persistent bash shell with support for common Linux/Python packages, background processes and automatic output truncationPackaging — This will create a standalone executable in the dist/ directoryDebugging — Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the [MCPInstallation goes through your MCP client rather than a global install: point it at @modelcontextprotocol/inspector on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Configuration is passed through the environment: UV_PUBLISH_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Hide's toolset — Tools, Bash, Packaging and 1 more — is a fair guide to whether it matches your workflow. It is maintained by hide-org; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Hide's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Tools | The server implements two tools adapted from [Anthropic's computer-use-demo](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo/computer_use_demo/tools): |
| Bash | A persistent bash shell with support for common Linux/Python packages, background processes and automatic output truncation. |
| Packaging | This will create a standalone executable in the dist/ directory. |
| Debugging | Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector). |
"mcpServers": {
"hide-mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/hide-mcp",
"run",
"hide-mcp"
]
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| UV_PUBLISH_TOKEN | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.