#conversational-ai

🚀 A conversational AI agent powered by Model Context Protocol (MCP), Express.js, and Gemini API that can automate Twitter (X) posts and perform dynamic interactions.

MCP server for conversational AI using an LLM for text generation. 🗣️ Utilizes a Redis queue for asynchronous request processing and handling concurrent users. ⚙️ Built with the FastMCP library for simplified server setup and management. ⚡ Offers an MCP tool to enqueue generation jobs and an MCP resource to track job status. 👍📊

MCP server for Perspective AI. An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Once connected, your AI assistant can design conversation agents, analyze conversations, deploy embeds, and automate follow-ups directly from Claude Desktop, Claude Code, Cursor, or any MCP-compatible client.

AnveVoice is an AI-powered voice assistant platform that enables websites and applications to support conversational voice interactions, voice navigation, smart search, and AI-driven assistance through MCP integrations and embeddable assistants.

Read AI preliminary phone screens — your roles, candidate scores, transcripts, and analytics.