In-product
agent.voice({ scope: "product" })
In-app voice
Your AI spins up a branded assistant inside your product, scoped to your data and tools.
MCP voice agents for AI agents
AI agents build voice agents.
audioMCP.ai is the MCP layer that lets any AI agent build, configure, and deploy a production voice agent. Voice, reduced to a tool call.
No SDK to wire. No dashboard to babysit. Four MCP calls from idea to live call.
Agent online
create_agent
await mcp.call("create_agent", {
intent: "Call me and book a demo next week",
voice: "low-latency",
channel: "phone_or_browser",
tools: ["calendar", "crm"],
deploy: true
});Voice, reduced to a tool call.
audioMCP.ai is a Model Context Protocol server that lets AI agents build and deploy voice agents automatically. Rather than a developer wiring up telephony, speech-to-text, and text-to-speech by hand, an AI agent provisions, configures, and deploys a production voice agent through MCP tool calls.
The inversion
You've built a voice stack by hand before. Now you can empower your agents to do the heavy lifting.
You know the parts: a telephony provider, speech-to-text, text-to-speech, turn-taking, barge-in, a latency budget you defend by hand, and the glue that breaks at 2am. Every other voice platform sells you a nicer version of that build. audioMCP.ai removes the build.
How it works
Four calls from idea to live call.
-
01
Provision
Your AI requests an agent through MCP. We allocate telephony and speech instantly.
-
02
Configure
It sets voice, prompt, tools, and routing in plain language or structured params.
-
03
Deploy
The agent goes live on a number, an in-app channel, or a workflow trigger with one call.
-
04
Observe
Transcripts, outcomes, and call metadata stream back to your agent.
Abstraction boundary
You own the conversation.
We run the stack.
Your side
Intent, prompts, tools, business logic.
Our side
Telephony, STT, TTS, turn-taking, scaling, latency.
- Sub-second turns
- Inbound & outbound
- Streaming STT/TTS
- Barge-in handling
- Tool calls mid-conversation
Use cases
One primitive. Every voice surface.
Inbound
Support lines
It provisions an inbound line, sets escalation rules, and goes live automatically.
Outbound
Outbound motion
It triggers qualification, reminders, and follow-ups from your own logic.
Automated
event → call() // no human
Workflow-triggered calls
A workflow event becomes a phone call, placed or answered with no human in the loop.
Integrations
Lives in the stack you already have.
A first-class tool in MCP-compatible clients and agent frameworks. Confirmed client and framework logos can replace these neutral placeholders when available.
MCP clients
Agent frameworks
Workflow tools
Voice surfaces
Reliability & security
Trusted with live calls.
Production voice infrastructure has to earn trust before it earns traffic. The current site publishes what is verified today and keeps unverified product metrics out of the UI until live-call telemetry, uptime, and compliance status are measured.
- Demo backend ships only with verification and rate limiting
- Contact form uses required fields and native email validation
- Privacy and Terms identify voice-data and consent obligations
- Technical QA: 0 axe violations across all public routes
Proof bar
Real results, not adjectives.
These are measured launch-readiness numbers from this build, not invented product telemetry. Voice latency, call volume, uptime, and customer proof should replace them once production data exists.
0Routes audited
0Axe violations
0Lighthouse performance
Pricing
Pay for calls, not for seats.
Start free, scale on usage, talk to sales only for volume.
Developer
Launch access
Build and test with sandboxed voice-agent creation through MCP.
- API key access
- MCP tool setup
- Sandbox demo flow
Scale
$0.15/min $0.10/min
All-inclusive · no hidden feesAll-inclusive pilot rate: telephony, STT, TTS, and infrastructure covered. No hidden usage fees during the pilot.
- Production call scope
- Usage reporting
- Observability hooks
Enterprise
Custom
Volume pricing, SLA review, security review, and dedicated support.
- SLA review
- Security review
- Dedicated support
About
Agents already do the work. They should be able to speak.
Agents use tools to act. Voice stayed locked behind SDKs and dashboards built for humans. We made voice-agent creation protocol-native, so AI builds it directly where it already works.
FAQ
Questions developers ask first.
What is audioMCP.ai?
audioMCP.ai is a Model Context Protocol (MCP) server in the category of agentic voice infrastructure. It gives any AI agent the ability to build and deploy a production voice agent through MCP tool calls, making voice a callable primitive rather than a build project. It handles telephony, speech-to-text, text-to-speech, turn-taking, barge-in, and latency, while you keep control of conversation intent, prompts, tools, and business logic.
How is it different from Vapi, Retell, or Bland?
audioMCP.ai exposes voice-agent creation as MCP tools, so an AI agent builds and deploys voice agents automatically through tool calls. Compared with other voice platforms, including Vapi, Retell, or Bland, the core difference is who does the building: with audioMCP.ai, the AI agent does it through tool calls rather than a human developer wiring the stack by hand. audioMCP.ai removes the build.
Do I need to know MCP?
If your stack already uses an MCP-compatible client or agent framework, audioMCP.ai drops in as a first-class tool with low additional integration lift. The product is built specifically for teams already working inside the MCP ecosystem. Teams whose stacks do not use MCP-compatible clients or agent frameworks are outside the current scope of audioMCP.ai.
Where do the agents run?
Your AI agent runs wherever it already runs, on an MCP-compatible client or agent framework, and calls audioMCP.ai as a tool. audioMCP.ai runs the voice stack behind those calls: telephony, speech-to-text, text-to-speech, turn-taking, barge-in, scaling, and latency. Once deployed, a voice agent goes live on a phone number, an in-app channel, or a workflow trigger.
How does pricing work?
Pricing is usage-based, billed per minute of call time, with no seat costs. There are three tiers: Developer (launch access) with API key access, MCP tool setup, and a sandbox demo flow; Scale, an all-inclusive pilot rate covering telephony, STT, TTS, and infrastructure with no hidden fees, including production call scope, usage reporting, and observability hooks; and Enterprise, with custom volume pricing, SLA review, security review, and dedicated support.
Can my agent place outbound calls?
Yes. audioMCP.ai is designed for outbound workflows, where a backend event maps to a call with no human in the loop. Production outbound use requires consent, verification, rate limits, and customer compliance controls, and that responsibility is shared rather than handled by the platform alone. The demo backend ships only with verification and rate limiting in place, and customers should review their own consent and compliance obligations before placing outbound calls in production.
Give your AI a voice. Literally.
Get an API key and ship your first voice agent today.