Integration

Voiceflow integration

Conversational AI platform for building chatbots, voice assistants, and AI agents. Build integrations for managing projects, versions, transcripts, and runtime interactions. Design, prototype, and deploy conversational experiences across multiple channels.

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Voiceflow.Built from the 13 Voiceflow tools below, on the connection you add once.

Common Voiceflow use cases

  • Add FAQ content
  • Backup projects
  • List all agents
  • Inject user data
  • Test knowledge base
  • Resume conversations
  • View version history
  • Analyze conversations
  • Start new conversation
  • View uploaded documents

What you can do with Voiceflow

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Knowledge base, 3 operations

  • get_knowledge_baseGet knowledge baseGETLists documents in the project knowledge base.
  • query_knowledge_baseQuery knowledge basePOSTQueries the knowledge base for answers.
  • upload_knowledge_documentUpload knowledge documentPOSTUploads a document to the knowledge base.

Project, 3 operations

  • export_projectExport projectGETExports the project as a Voiceflow file.
  • get_projectGet projectGETRetrieves details about a specific project.
  • list_projectsList projectsGETLists all conversational agents in the workspace.

State, 3 operations

  • delete_stateDelete stateDELETEResets the conversation state for a user.
  • get_stateGet stateGETRetrieves the current conversation state for a user.
  • update_stateUpdate statePUTReplaces the full conversation state for a user.

Transcript, 2 operations

  • get_transcriptGet transcriptGETRetrieves a specific conversation transcript.
  • list_transcriptsList transcriptsPOSTRetrieves conversation transcripts for analysis.

Conversation, 1 operation

  • interactInteractPOSTSends a message and receives bot responses.

Version, 1 operation

  • list_versionsList versionsGETLists all versions of a project.

Use Voiceflow from Claude Code, Cursor or Codex

Connect Voiceflow in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Voiceflow operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Voiceflow

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Voiceflow once

    Add your Voiceflow connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Voiceflow integration FAQ

What can you do with the Voiceflow integration?

LiveContext exposes 13 operations on Voiceflow, covering knowledge base, project, state and transcript. Common uses include Add FAQ content, Backup projects and List all agents.

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