screenRIG MCP

The screenRIG MCP server allows AI agents to manage digital signage screens, playlists, media content, schedules, webhooks, and reports. It supports OAuth 2.0 authentication with granular access levels (Read only, Propose, Manage) and integrates with major AI clients like Claude, ChatGPT, and Grok to control digital displays programmatically.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-20Operated by screenRIG

MCP endpoint (Streamable HTTP)

https://api.screenrig.ai/mcp

Vendor documentation

What you can do with it

Manage digital signage screens and playlists
Upload and schedule media content
Configure webhooks and view reports
Control screens via AI agents like Claude or ChatGPT

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http screenrig-mcp https://api.screenrig.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add screenrig-mcp --url https://api.screenrig.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable screenrig-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "screenrig-mcp": {
      "url": "https://api.screenrig.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "screenrig-mcp": {
      "type": "streamableHttp",
      "url": "https://api.screenrig.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start screenrig-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "screenrig-mcp": {
      "type": "http",
      "url": "https://api.screenrig.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http screenrig-mcp https://api.screenrig.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "screenrig-mcp": {
      "url": "https://api.screenrig.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "screenrig-mcp": {
      "serverUrl": "https://api.screenrig.ai/mcp"
    }
  }
}

Ground your agent in cited data

screenRIG MCP gives your agent tools. Koskamo gives it reviewed, cited facts to check its answers against. Add it as a second MCP server; public reads need no API key.

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