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audioMCP.ai

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audioMCP.ai is voice infrastructure built for a world where AI agents, not human developers, are the ones assembling software. Giving an AI agent the ability to make and receive phone calls normally means a human integration project: telephony, phone numbers, speech-to-text, text-to-speech, turn-taking, routing, deployment, and monitoring, stitched together and maintained by hand. audioMCP.ai collapses that stack into a Model Context Protocol server that AI agents call directly. How it works: -An AI coding or orchestration agent connects to the audioMCP.ai MCP server -The agent creates a voice agent through tool calls, defining its purpose, instructions, voice, tools, and runtime settings -audioMCP.ai provisions the underlying stack: telephony, STT, TTS, turn-taking, barge-in handling, routing, and deployment -The resulting voice agent can receive and initiate calls where supported -The calling agent operates and manages it through MCP, no dashboards or telephony expertise required Key capabilities: -Voice as a primitive: agents invoke calling the way they invoke a database, browser, or code execution -Full-stack provisioning through MCP tool calls -Sandboxed voice-agent creation flow for building and testing -Usage reporting and observability hooks -Works with MCP-compatible clients and agent frameworks -Separates conversation logic (stays with your agent) from voice infrastructure (managed by audioMCP.ai) What people build with it: -In-app voice assistants -Support lines -Outbound and scheduling workflows -Sales follow-up calling -Voice escalation for monitoring and alerting systems Pricing (early access): -Developer tier: free, with API key access, MCP tool setup, and a sandbox creation flow -Scale tier: all-inclusive pilot rate of $0.10 per minute covering telephony, STT, TTS, and infrastructure, no hidden usage fees during the pilot -Enterprise: custom volume pricing with SLA review, security review, and dedicated support -Pay for calls, not for seats

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