- QUALITY
- TONE
- TRENDS
- HUMAN
Short answer
How can I audit my AI agent's chat history?
Your AI uses Chaindesk to pull conversation lists and individual message threads. You can then ask it to find specific errors, summarize long chats, or flag problematic responses. This breakdown shows how to set up that review process.
Audit outcomes
Where your findings land.
What you get after your AI scans the logs.
QUALITY
Identify bad responses
The AI finds instances where the agent hallucinated or gave incorrect info. You get a clear list of specific messages that need fixing.
TONE
Check brand voice
The AI reviews the language used in chats to ensure it stays professional. It flags any slang or rude behavior that doesn't fit your guidelines.
TRENDS
Spot recurring issues
By looking across many threads, the AI identifies common questions that the agent struggles to answer. This helps you update your knowledge base.
HUMAN
Manual intervention
The AI highlights high-stakes conversations that require a person to step in. It won't change the logs, so you decide how to respond to the user.
The workflow
What your AI does when the audit starts.
The AI moves from broad lists to specific message details to build its report.
Fetch conversation IDs
The AI first gets a list of all recent interactions to establish a scope for the audit.
list_conversationsPull message content
Once it has the right IDs, the AI pulls the actual text from the specific chat threads you want to inspect.
get_messagesAnalyze for errors
The AI reads through the retrieved text to find mistakes or deviations from your instructions.
get_messagesSummarize findings
The AI compiles the analyzed data into a readable report or a list of actionable items.
list_conversations
Try it
Copy these to start.
Use these prompts once you have connected Chaindesk.
Starting points
These are starting points. Swap out the specific names or dates to match your actual chat history.
Chaindesk Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/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 — Chaindesk capabilities are ready to use.
{
"mcpServers": {
"chaindesk-mcp": {
"url": "https://edge.vinkius.com/vk_preview_T5VjYPY8ezoZU63DLLaawQj8Wz1PrnywxCHz077q/mcp"
}
}
}List the last 10 conversations from my support agent.
Get the messages from conversation ID 98765 and tell me if the agent was polite.
Review the messages in the recent billing chat and check if the agent gave the correct refund policy.
Find all conversations from yesterday where the agent failed to resolve the user's issue.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Chaindesk once, then ask.
Just follow the link to authorize the connection. Your credentials stay encrypted, and you can immediately start auditing via your preferred AI client.
Connect Chaindesk to your AIFAQ
How the audit behaves
- 01
Can the AI delete or edit chat history?
No. The tools only allow the AI to read and retrieve existing data. It cannot modify or delete any messages.
- 02
Can the AI respond to the user during an audit?
No. This specific task is for reviewing past data. The AI cannot send new messages to the customer through these tools.
- 03
How does the AI find specific messages?
The AI uses the conversation IDs to pull the full message history for a specific thread.
- 04
Can I audit conversations from a specific date range?
Yes, you can ask the AI to look for conversations that happened during a specific timeframe.
- 05
Does the AI see everything in the chat?
Yes, the AI can access the full text of the messages within the conversations it retrieves.
More questions about Chaindesk? The Connector page answers them. See everything the Chaindesk Connector can do
Connect Chaindesk to Claude, Cursor, ChatGPT & more
