VoxMesh
Provides integration with Alibaba Cloud Model Studio for chat via OpenAI-compatible connections and dedicated speech-to-text/text-to-speech and composed voice pipelines, including Fun-ASR and Qwen/CosyVoice adapters.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@VoxMeshCheck the light status"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
VoxMesh
VoxMesh is a platform-independent, voice-first AI agent gateway.
The project is designed to connect speech input, speech-to-text, an AI agent, MCP tools, text-to-speech, and voice output while keeping the Agent Core independent of hardware, operating systems, and AI providers.
Project Status
VoxMesh has an initial Mock Mode vertical slice for development and architecture validation. It includes:
a pnpm and TypeScript monorepo
a Fastify server and React Web Console
first-run administrator password setup and session authentication
SQLite conversation and log persistence
provider-independent Agent Core contracts
deterministic Mock LLM and Mock MCP tool execution
browser Mock Voice recording with Mock STT and generated WAV response
authenticated browser streaming voice with AudioWorklet capture, partial transcript, tool activity, and bounded Web Audio playback
live browser microphone loudness monitoring
selectable Composed and Mock Native Multimodal voice pipeline modes
system-managed provider connections, model deployments, runtime routes, and capability verification
editable routing CRUD, explicit Native fallback, and independent capability-gated STT/TTS streaming switches
Dashboard, Chat, Conversations, and live Logs pages
Settings page for password rotation and Runtime Routing configuration
write-only provider credentials and route-bound capability verification
configuration-bound role-specific streaming verification and fail-closed adapter/runtime availability gates
persisted, configuration-bound provider and route readiness diagnostics
generic OpenAI-compatible LLM configuration, including Alibaba Cloud Model Studio
Azure OpenAI and OpenAI-compatible Streaming Chat adapters with capability-verified runtime registration
Alibaba Fun-ASR and Qwen/CosyVoice Streaming Speech adapters with capability-verified runtime registration
English and Simplified Chinese Web Console localization
browser-language detection and persisted language selection
Light, Dark, and System appearance modes
persisted appearance selection with live operating-system synchronization
feature-oriented, single-purpose React components
React Testing Library behavioral tests for every current UI component
TanStack Router with Browser History and deep-linkable pages
TanStack Query for remote server state and cache invalidation
TanStack Form for complex Settings workflows
unit, integration, and Playwright end-to-end tests
Buffered real-provider Phase 4 was accepted on 2026-08-24. Azure and OpenAI-compatible direct/tool-assisted Chat and Alibaba dedicated STT/TTS/composed voice are live-qualified. Azure Speech and standard compatible Audio remain explicitly unqualified and tracked as non-blocking follow-up work; see the Phase 4 Acceptance Report.
Azure AI Speech Service, generic external MCP transports, physical audio, and deployment packaging remain planned work. Azure OpenAI Audio STT/TTS is already implemented. The physical-audio phase also plans local offline wake-word detection through sherpa-onnx after explicit input-device selection. Capability-gated full-chain Streaming STT/Chat LLM/TTS is implemented for Mock, Azure/OpenAI-compatible Chat, and Alibaba speech. Each enabled role must pass explicit configuration-bound verification before activation; unsupported routes remain blocked rather than silently using buffered transport. Phase 5 deterministic offline acceptance is complete. Credentialed streaming provider profiles remain explicitly unqualified, and Phase 5 awaits explicit user acceptance of the Phase 5 Acceptance Report.
The Logs page combines a persisted HTTP snapshot with authenticated real-time log and pipeline-event WebSocket delivery, replay, gap indication, and URL-backed filters. Full-chain browser streaming is available for verified Composed Runtime Routes; physical audio and wake-word detection are not implemented yet.
The architecture is designed for:
macOS, Linux, and Windows development
Linux amd64 and arm64 deployment
Docker Compose and native systemd deployment
Mock Mode without hardware or external service credentials
Related MCP server: Pipecat MCP Server
Requirements
Node.js 22.12 or later
pnpm 10.27
Quick Start
pnpm install
pnpm build
pnpm --filter @voxmesh/server startOpen http://127.0.0.1:3000, create the first administrator password, sign in, and use Chat. Enter Check the light status to exercise the Mock LLM -> Mock MCP -> Mock LLM flow.
The Chat page also provides separate buffered and streaming voice controls. In
Mock Mode, Start recording, Stop recording, and Play response
exercise the buffered pipeline. Start streaming, Finish input, and
Cancel streaming use AudioWorklet capture and the authenticated
/api/voice-stream transport when the active Composed Runtime Route has
verified full-chain streaming capability. Streaming never silently falls back
to the buffered endpoint.
Use Settings → AI Providers to manage Connections, Models, and Routes. Connections store write-only credentials and endpoints, Models declare provider options and capabilities, and Routes assign Chat/STT/TTS or Native Multimodal models. API keys are stored in the local SQLite database, are never returned to the browser, and are protected by host filesystem permissions.
Alibaba Cloud Chat uses an OpenAI-compatible connection. Alibaba Cloud speech uses dedicated Model Studio connections and models, not OpenAI-compatible Audio endpoints. STT and TTS remain independently configurable.
Use the language selector on setup, login, or Settings to switch between English and Simplified Chinese. The preference is stored in the browser and applies immediately.
Use the appearance selector in Settings to choose Light, Dark, or System. System is the default and follows live operating-system theme changes.
For frontend and backend development with automatic reload:
pnpm devThe Web Console is available at http://127.0.0.1:5173 and proxies API requests to the server on port 3000.
Web Console pages use stable URLs such as /dashboard, /chat, /conversations, /conversations/<id>, /logs, and /settings. Direct loading, refresh, and browser back or forward navigation are supported.
Configuration
Copy .env.example values into your environment or process manager:
Variable | Default | Description |
|
| Server listen address |
|
| Server listen port |
|
| SQLite database path |
|
| Administrator session lifetime |
|
| Require HTTPS for the session cookie |
The first administrator password must contain at least 10 characters. Passwords are stored as salted scrypt hashes. Session cookies are HttpOnly and SameSite=Strict.
Changing the administrator password revokes every active session. Runtime Routing changes apply after a route is successfully tested and activated. Route testing sends small requests to every assigned provider and may incur provider usage costs.
Validation
pnpm format:check
pnpm lint
pnpm typecheck
pnpm test:unit
pnpm test:integration
pnpm build
pnpm test:e2eRun every required check with:
pnpm validatePlaywright MCP
The repository-level .mcp.json configures Playwright MCP for
browser investigation through structured accessibility snapshots. Copilot CLI
and Claude Code discover this file from the repository root after workspace
trust is approved.
The server uses the latest official package release and isolated browser sessions so cookies and login state are not retained between MCP sessions. Restart the MCP client after changing the configuration.
Default tests and Mock Mode require no AI credentials, external MCP servers, or audio hardware.
Workspace
apps/server Fastify API, authentication, and composition root
apps/web React and Vite Web Console
apps/web/src/features Feature-oriented pages, forms, and settings components
apps/web/src/components Shared layout components
apps/web/src/router.tsx Typed TanStack Router route tree and guards
apps/web/src/query.ts Typed TanStack Query keys and query options
packages/agent-core Provider-independent agent runtime and mocks
packages/shared Runtime schemas and shared contracts
packages/storage SQLite storage adapter
tests/e2e Browser end-to-end testsDocumentation
Coding Agent Instructions
Development Policy
Before implementing a functional change:
Discuss and confirm its behavior, scope, risks, acceptance criteria, and testing requirements.
Create a dedicated branch from the latest
main; never edit or push directly tomain.Keep all repository content and code comments in English.
Add complete unit, integration where applicable, and end-to-end tests.
Add English developer documentation and useful JSDoc or reasoning comments for public contracts, configuration, architecture, security constraints, and non-obvious behavior.
Run all applicable format, lint, type-check, test, and production-build checks.
Use Conventional Commit-style commit messages and PR titles, and split unrelated changes into focused commits.
Obtain separate explicit approval before committing, pushing, creating a pull request, merging, or releasing.
See Development Rules for the complete mandatory policy.
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Maintenance
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If you are the server author, to access and configure the admin panel.
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