Conversational AI MCP Servers
Tools for building and operating AI conversation agents that hold structured dialogues with end users.
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kiro0x/five-mcp
github.comLLM character consistency engine — generates structured JSON constraints from 4 multiple-choice questions about an AI's psychology. Drop the JSON into any LLM's system prompt to prevent persona drift; reduces inference cost from retries. 160,000 personality patterns; works with any LLM.
★Perspective-AI/mcp
github.comOfficial MCP server for Perspective AI. An AI Concierge replaces static forms with adaptive AI conversations for lead qualification, customer research, onboarding feedback, and advocacy. Design conversation agents (Concierge, Interviewer, Evaluator, Advocate), analyze conversations, deploy embeds, and automate follow-ups (webhook, email, Slack, HubSpot).
Attribution
Data sourced from punkpeye/awesome-mcp-servers (MIT). Synced every 24 hours.