The Voiceflow MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Voiceflow account. It provides structured and secure access to your projects, environments, knowledge bases, conversations, transcripts, and analytics, so your agent can inspect configurations, manage variables, publish environments, query knowledge, and analyze conversations on your behalf.
- Project and environment oversight: Have your agent list accessible workspaces, review projects and environments, inspect agent configurations, and export complete environment snapshots.
- Knowledge base management: Let the agent import public web content, list available knowledge documents, and query stored knowledge for relevant information or synthesized answers.
- Agent testing and conversation control: Direct your agent to send text messages to a Voiceflow agent, review conversation state, and update conversation variables.
- Transcript and analytics review: Instruct your agent to search conversations, inspect full transcripts and evaluations, and review project metrics across a chosen date range.
- Publishing and component management: Have your agent review playbooks, tools, functions, evaluations, tests, and MCP components, manage project variables, and publish named environment releases.