"Two agents working simultaneously" matching MCP servers:

MCP server that lets Claude place outbound telephone calls via ElevenLabs Agents over a SIP trunk and report the outcome including status, success evaluation, summary, and transcript.

Enables creating and managing ElevenLabs conversational AI agents with an interactive UI, voice selection, and configuration of agent behavior.

Enables AI agents to synthesize speech via the unlimitedtts API, handling x402 micropayments, spend policy enforcement, and storage of private MP3 results.

Enables seamless integration with ElevenLabs Conversational AI to manage agents, tools, and knowledge base sources. It supports RAG indexing, webhook integration, and document management for building advanced voice-enabled AI agents.

Lets AI assistants understand what you're working on — current screen content, recent dictation, clipboard, and saved notes — running entirely on your own machine with nothing sent to the cloud.

Bridges AI assistants to a Telegram bot to enable two-way messaging, interactive confirmations, and live status updates. It supports automatic voice transcription via local Whisper models and provides secure, single-user communication for MCP-compatible hosts.

Enables AI agents to manage voice agents, place calls, run campaigns, and monitor usage and billing via the Wixzel Phone API.

Lets cloud-based coding agents send progress updates and read messages that a macOS voice app speaks aloud and accepts spoken replies for, with no installation on the agent side. Agents can report status, fetch instructions dictated by voice, and acknowledge them through a hosted endpoint.

Enables Cursor, Claude, and other MCP agents to interact with the HyperWhisper app for voice transcription, model management, and recording search.

Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.

Screen-aware voice command layer for AI agents that captures screen context and instructions to build agent-ready commands for various tools.

Enables AI agents to place VoIP phone calls via Asterisk, play TTS messages, capture DTMF input, and optionally record and transcribe voice responses.

Enables AI agents to submit and manage durable long-form audio transcription jobs, and read or export structured transcripts via MCP tools.

Give your AI agents the ability to listen. Microphone capture and speech-to-text tools for MCP-compatible agents.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

Enables voice assistants to screen voicemail transcripts for scam risk, returning a verdict with plain spoken reasons and suggested actions. Callers can then be blocked or reported through a two-step stage-and-approve flow that requires an explicit spoken confirmation.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

MCP server for offline speech-to-text and speaker diarization, enabling AI agents to transcribe audio locally without cloud APIs.

Enables AI agents to interact with a personal Telegram account via MCP, offering tools for reading and searching chats, summarizing unread messages, sending and editing messages, handling files and voice transcripts, and managing groups and channels, with read-only mode by default.