Oruk Speech

What oruk Speech MCP server does

The oruk Speech MCP server connects an MCP-capable agent to hosted speech processing from oruk. Its stated capabilities cover two related tasks: converting speech into text and analyzing speech for emotion or tone. This makes it relevant to agent workflows that need to understand spoken input beyond the literal transcript.

The available listing does not provide a complete tool schema or individual tool names. It supports describing the server by its capabilities rather than by specific function signatures, parameters, return formats, or supported audio types.

How it works

An agent uses MCP to access hosted oruk speech functionality instead of running a speech model locally. Speech-to-text processing produces a textual representation of spoken content, while emotion or tone analysis provides an additional interpretation of the speech. The listing does not explain whether these operations are exposed separately, whether they can be combined in one request, or what response fields they return.

The oruk Speech MCP server is therefore best evaluated for workflows where remote processing is acceptable and the agent needs both transcription and vocal emotion or tone analysis. The provided material does not establish latency, data retention, regional processing, model selection, or availability guarantees.

Setup and configuration

No local installation is required. The listing also states that trial keys are built in, so a developer can evaluate the service without separately documenting a key-generation step. No required environment variable names, command, package, configuration file, or transport endpoint are provided in the available material.

Because the setup instructions are not included here, consult the official documentation at https://oruk.ai/docs/mcp for the exact connection procedure and any account or authentication requirements beyond the built-in trial access.

Tools and capabilities

The stated capabilities are:

• Speech-to-text processing for spoken audio.
• Speech emotion analysis.
• Speech tone analysis.
• Hosted access through an MCP server.

The source does not identify individual MCP tool names, input schemas, output schemas, supported languages, file types, streaming behavior, or batch limits. Those details should be confirmed before implementation.

Limitations and notes

The listing is brief and does not provide a README. As a result, it does not support claims about specific MCP clients, installation commands, SDKs, licensing, supported operating systems, audio codecs, privacy controls, quotas, pricing, or production availability. It also does not state whether emotion and tone results are deterministic or how they should be interpreted.

Use the oruk Speech MCP server when its two advertised processing categories match the workflow, then verify the service contract and operational requirements in the linked documentation before building a client integration.