Vapi

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Vapi AI

Cocall.ai: an MCP for outbound phone calls that pauses to ask you for info mid-call

I built an mcp that gives your claude a phone (your phone). If it hits a question it can't answer mid-call, it pauses and pings you back with the specific question instead of guessing or hanging up. You provide an objective along with the phone number and identity of the recipient to initiate the call. Internally, it uses a full-duplex system with a speech-to-speech model rather than cascade of STT, LLM and TTS. The voice agent has tools to gracefully send questions to you in your claude session mid-call while continuing the conversation. It can also navigate IVR and hand-off calls back to you if needed. I had been working with real-estate and manufacturing firms where phone calls are the most common forms of communication. A lot of them are follow-ups, arranging of meetings to showcase property/inventory, chasing deliveries etc. Too contextual yet too repetitive. While there are voice agents and frameworks in the market like VAPI, Retell, Bland, they all cater to inbound workflows primarily geared for support and marketing. Outbound calls are much less structured and require an on-demand experience. Phone number verification is required before making calls. This allows showing your number as the caller. The web app allows listening to calls live, downloading recordings and viewing transcripts. Add as a connector using these instructions: https://cocall.ai/docs/claude The UI design of the web page was made in Claude design, then tighter edits in Claude web and finally over to claude code. The backend is written in bun built spec first using openspec workflow. Would love feedback, and be happy to answer anything about the implementation. https://reddit.com/link/1tbz13b/video/hys3gj8zkw0h1/player submitted by /u/AdekDev [link] [comments]

Dograh now has an MCP Server that can talk to your Voice Agents

Hi All, We just released the MCP Server to Dograh. Control Dograh from Claude or any MCP-compatible AI assistant. Just a quick recap: Dograh is a self-hostable, open-source voice AI agent platform (an alternative to proprietary Vapi/Retell) that lets you build and test voice bots over telephony and WebRTC with drag-and-drop workflows (Think of n8n for Voice Agents) Github: https://github.com/dograh-hq/dograh You can now build and manage voice agents directly from your chat - no need to open the Dograh dashboard at all. The fun part is connecting multiple MCPs, for example: Ask your AI assistant to list, fetch, or search your Dograh agents without opening the dashboard Search Dograh docs and retrieve agent definitions directly from Claude Code, Claude Desktop, or Cursor Connect any MCP-compatible client using the same endpoint and API key I will use it now. It is 100% open source. submitted by /u/Slight_Republic_4242 [link] [comments]

You can now give an AI agent its own email, phone number, wallet, computer, and voice. This is what the stack looks like

I’ve been tracking the companies building primitives specifically for agents rather than humans. The pattern is becoming obvious: every capability a human employee takes for granted is getting rebuilt as an API. Here are some of the companies building for AI agents: AgentMail — agents can have email accounts AgentPhone — agents can have phone numbers Kapso — agents can have WhatsApp numbers Daytona / E2B — agents can have their own computers monid.ai — agents can read social media (X, TikTok, Reddit, LinkedIn, Amazon, Facebook) Browserbase / Browser Use / Hyperbrowser — agents can use web browsers Firecrawl — agents can crawl the web without a browser Mem0 — agents can remember things Kite / Sponge — agents can pay for things Composio — agents can use your SaaS tools Orthogonal — agents can access APIs more easily ElevenLabs / Vapi — agents can have a voice Sixtyfour — agents can search for people and companies Exa — agents can search the web (Google isn’t built for agents) What’s interesting is how quickly this came together. Not long ago, none of this really existed in a usable form. Now you can piece together an agent with identity, memory, communication, and spending in a single afternoon. Feels less like “AI tools” and more like the early version of an agent-native infrastructure stack. Curious if anyone here is actually building on top of this. What are you using? Also probably missing a bunch - drop anything I should add and I’ll keep this updated. submitted by /u/Shot_Fudge_6195 [link] [comments]

Controlling Claude Code from WhatsApp — text and voice messages, full CLI context

Hooked up WhatsApp to my running Claude Code session using the new Channels feature (v2.1.80+). Text messages, voice notes (Whisper transcription), voice replies (OpenAI TTS) — all landing in the same live CLI session with full tool access. Send a voice note from my phone → Whisper transcribes → Claude checks my emails via M365 MCP → replies with a voice note. Same session as my terminal, same context, same tools. Stack: Go bridge (whatsmeow) on a spare phone with a prepaid SIM (or... other known methods 😉), TypeScript MCP Channel server, OpenAI Whisper + TTS. claude --dangerously-skip-permissions --dangerously-load-development-channels server:whatsapp-channel Next step: live phone calls via WhatsApp Business API + Vapi.ai, pushed into the same session. Shared context across text, async voice, and real-time calls. Questions for the community: Anyone else experimenting with Channels? What are you pushing into your sessions? Has anyone connected Telegram or Slack as a Channel yet? Better alternatives to whatsmeow for the WhatsApp bridge? Anyone tried Vapi or similar for live voice with Claude Code? Happy to share the architecture and a build prompt if there's interest. submitted by /u/legalgian [link] [comments]