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voice-agent-mcp

by irakli-ardia
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voice-agent-mcp

voice-agent-mcp is a voice-driven OpenAI tool-calling agent whose tools are defined once and also served to MCP clients over stdio.

Most LLM demos stop at generating text. This project focuses on the harder boundary: letting a model perform real actions without giving up type safety, validation, observability, or control. Speech is transcribed, an OpenAI Responses API agent selects typed tools, every call runs through one validated executor, and the answer is spoken back. The same tool definitions are served to Claude and other MCP clients over stdio. It is a production-grade reference implementation with documented limits, built milestone by milestone; the current state is the M0 foundation (tooling, quality gates, configuration, logging). Generated speech is AI-generated.

License: MIT. Security: SECURITY.md. Contributing: CONTRIBUTING.md.

Documentation

Need

Read

How it is built

Architecture overview

How one tool definition serves OpenAI and MCP

Tool system

Trust boundaries and action control

Security

The rules the codebase enforces

Invariants

Why the big choices were made

Decisions

How correctness is tested

Testing

Run it locally

Local setup

Related MCP server: paperclip-mcp

Quick start

npm install
npm run check
npm run dev -- --help

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Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Maintenance

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