- CRITICAL
- TRENDS
- SUCCESS
- HUMAN
Short answer
How can I track where my chatbot is failing?
Your AI client pulls recent transcripts and user upvotes or downvotes directly from Voiceflow. It identifies specific friction points by comparing what users said against their satisfaction ratings. You get a clear view of which conversation paths need fixing.
Where insights land.
Categorized feedback outcomes.
The AI sorts data based on how much attention it needs.
CRITICAL
Immediate fixes needed
The AI flags transcripts with low ratings or high user frustration. These go straight to you for manual review.
TRENDS
Pattern recognition
The AI groups similar user complaints together. You see if a specific bot flow is consistently failing across many users.
SUCCESS
Winning patterns
The AI identifies high-rated interactions. You can study these to replicate successful logic in other parts of your bot.
HUMAN
Manual triage
The AI highlights edge cases it can't categorize. You step in to handle these unique user issues personally.
The workflow
What your AI does when the data arrives.
The AI handles the heavy lifting of reading logs so you don't have to.
Fetch logs
The AI scans your Voiceflow account to find the most recent chat sessions.
list_transcriptsRead conversations
It pulls the full text of specific chats to understand the context of the interaction.
get_transcriptCheck ratings
The AI looks at the specific upvotes or downvotes attached to those sessions.
get_feedbackAnalyze friction
It compares the text against the feedback to pinpoint exactly where the user got stuck.
get_transcriptget_feedback
Try it
Copy these to start.
Use these prompts once you've connected Voiceflow.
Starting points
These are opening lines. Swap out the specific bot names or timeframes to match your actual Voiceflow setup.
Voiceflow Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_l22Y6YFkjLlbfmb2bwNvq56Y3lGMb9ioSh3t5jM5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Voiceflow capabilities are ready to use.
{
"mcpServers": {
"voiceflow-mcp": {
"url": "https://edge.vinkius.com/vk_preview_l22Y6YFkjLlbfmb2bwNvq56Y3lGMb9ioSh3t5jM5/mcp"
}
}
}Show me the last 10 transcripts from my 'Support Bot' and tell me if any had downvotes.
Find the most common reason users gave negative feedback in the 'Sales Assistant' flow this week.
Look at the transcript for the session from yesterday where the user was frustrated and explain why it happened.
Summarize the successful interactions in my 'Onboarding Bot' based on recent upvotes.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Voiceflow once, then ask.
One click connects your account. Your credentials stay encrypted, and you can start asking questions immediately.
Connect Voiceflow to your AIFAQ
How this task behaves.
- 01
Can the AI change my Voiceflow bot settings?
No. The AI can only read transcripts and feedback. It cannot modify your bot flows or settings.
- 02
Does the AI delete any user data?
No. The AI only retrieves data to analyze it. It has no capability to delete transcripts or feedback.
- 03
Can I ask about specific users?
Yes, as long as that user's interaction is captured in a transcript available through the connector.
- 04
How does the AI know if a user was unhappy?
It uses the feedback data, specifically looking for downvotes or negative sentiment in the transcript text.
- 05
Can the AI send a follow-up message to a user?
No. This connector is for monitoring and analysis only. It cannot send messages back to users in Voiceflow.
More questions about Voiceflow? The Connector page answers them. See everything the Voiceflow Connector can do
Connect Voiceflow to Claude, Cursor, ChatGPT & more
