Voice Status Report MCP Server

Voice Status Report MCP Server

The Voice Status Report server turns a language model’s textual output into audible updates, allowing assistants such as Claude to keep users informed without requiring continuous visual interaction. In long‑running workflows—think code compilation, data processing pipelines, or remote command execution—the model can report progress milestones and completion notifications through short voice clips. This keeps the user’s attention on other tasks while still receiving real‑time feedback, a pattern that is especially valuable in interactive development environments like Cursor or Claude for Desktop.

At its core, the server exposes a single tool named . When invoked with a string of text, the tool sends that text to OpenAI’s Text‑to‑Speech API and streams the resulting audio back to the client. The server supports optional “ding” sounds, voice selection from a curated list of OpenAI voices, adjustable speech speed, and custom instruction prompts that shape the speaking style. These knobs let developers tailor the auditory experience to match their application’s tone—whether a calm, friendly update or a confident, authoritative announcement.

Key capabilities include:

• Seamless integration: The tool is automatically prepended to system messages by most MCP clients, so the model can request status reports without additional configuration.
• Batteries‑included operation: No external orchestration is required; the server handles API key management, audio playback, and optional pre‑message cues.
• Fine‑grained control: Command‑line flags let users adjust voice, speed, and style on the fly, enabling consistent branding or accessibility accommodations.

Typical use cases span a wide range of scenarios. A developer running a build pipeline can let the model announce “Build started,” “10% complete,” and “Build finished” while the user works on documentation. In a remote automation script, status updates can be spoken to an operator in the field, reducing the need for constant screen monitoring. Accessibility teams may leverage voice reports to keep visually impaired users informed about background processes.

By embedding audible status updates directly into the AI workflow, this MCP server transforms passive text output into an active conversational partner. Developers benefit from reduced cognitive load, improved multitasking efficiency, and a richer interaction model that blends spoken and written communication.