Oruk Speech MCP MCP server

A hosted Model Context Protocol server that provides speech-to-text transcription and speech emotion/tone analysis capabilities for AI agents. It allows agents to process English audio files via public URLs or base64 bytes, returning transcripts with word timings, emotion scores, and speaking-style analysis. The server supports multiple MCP protocol versions and offers trial keys for testing without an account.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by Oruk

MCP endpoint (Streamable HTTP)

https://oruk.ai/mcp

Vendor documentation

What you can do with it

Transcribe prerecorded English audio files into text with word-level timings
Analyze speaker emotion and speaking style from audio recordings
Verify API key status and check subscription plan usage
Mint temporary trial keys for testing speech analysis tools

Tools advertised by the last live check:

oruk_analyze_speech
oruk_transcribe_audio
oruk_analyze_tone
oruk_check_usage
oruk_create_trial_key
oruk_list_models
oruk_get_started

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 oruk-speech-mcp https://oruk.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 oruk-speech-mcp --url https://oruk.ai/mcp

Cursor

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

Cursor configuration

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

VS Code

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

VS Code configuration

{
  "servers": {
    "oruk-speech-mcp": {
      "type": "http",
      "url": "https://oruk.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 oruk-speech-mcp https://oruk.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": {
    "oruk-speech-mcp": {
      "url": "https://oruk.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": {
    "oruk-speech-mcp": {
      "serverUrl": "https://oruk.ai/mcp"
    }
  }
}

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