"A server or platform for voice chatting" matching MCP servers:

Transcribe voice messages to text and generate spoken audio from text, served as cached Ogg/Opus files for instant playback.

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Enables Claude Code and Gemini CLI to save, search, retrieve, and browse recent voice-derived notes and tags stored in SQLite over stdio, while deliberately excluding deletion and arbitrary file reads.

Build AI voice agents that answer and place real phone calls over your own carrier, on any voice engine (Gemini Live, Sarvam, OpenAI, ElevenLabs and more) with one API key. Create agents, connect SIP trunks and numbers, run call campaigns, and read transcripts and costs from Claude Code, Codex, Cursor or any MCP client.

Enables MCP clients to submit completed speech or typed text to a self-hosted decision engine and receive judgments such as ordinary speech, command, retained thought, uncertainty, or no action, along with session and decision inspection.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

Provides voice notifications using Grok's text-to-speech API to alert users when Claude Code completes tasks, with support for both local and remote server configurations.

Enables small online store owners to run a Shopify or WooCommerce shop by voice through Alexa+, answering questions about sales and stock while executing confirmation-gated actions like shipping orders or drafting supplier messages. Destructive or large-impact writes require a spoken code and are recorded in an audit log.

A local-first MCP server that builds compact voice profiles from writing samples, then compares, rewrites, or generates new text in that voice.

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

Enables small-business owners to turn bank CSVs and open invoices into spoken cash-position answers, 13-week forecasts, affordability checks, and ranked cash-shortfall plans, with human-confirmed sandbox actions.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

MCP server enabling AI companions to deliver authored inner monologues alongside replies via atomically submitted batches.

Exposes tools for querying prices, checking availability, and scheduling car detailing appointments, enabling conversational voice interactions without the web platform.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Fetches and analyzes website content to provide business context to AI agents, designed for Voice AI in GoHighLevel.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables Poke to trigger outbound AI phone calls through Vapi telephony, using a stateless server with installer-owned credentials.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.