Chat with your Zendesk data

AI to analyze Zendesk data with Claude and ChatGPT

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No credit card required | 14 days | 10 million records | 30 pipelines

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Zendesk
You
How many tickets did we resolve last week compared to the week before?
Ticket Volume
You resolved 1,247 tickets last week, which is 18% higher than the previous week's 1,057 resolutions.
Via Kondado MCP
You
What is our current average first reply time across all agent groups?
SLA Performance
Your average first reply time is currently 2.4 hours, with the Enterprise group performing best at 1.1 hours.
Via Kondado MCP
You
Which organization submitted the most tickets this month?
Top Organizations
Acme Corporation leads with 89 tickets submitted this month, followed by TechStart with 64 tickets.
Via Kondado MCP
You
What percentage of tickets received a satisfaction score of 4 or 5 stars?
Customer Satisfaction
87.3% of resolved tickets received 4 or 5 star ratings this quarter, up from 82% last quarter.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Zendesk data with Claude and ChatGPT

Ask Claude, ChatGPT, or any other MCP client about your Zendesk data using natural language chat. Query ticket volumes across channels, calculate average resolution times for specific groups, or compare customer satisfaction scores between organizations without writing SQL. The AI reads your replicated Zendesk data and returns instant answers about support performance, agent productivity, and customer experience metrics.

Kondado replicates Zendesk data through 12 pipelines containing 235 fields, making it accessible via MCP to Claude, ChatGPT, and compatible clients for conversational analysis. The same replicated data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Customer service managers track SLA compliance and agent workload distribution by asking about Ticket Metrics and Group performance. Operations analysts investigate ticket escalation patterns through Ticket History and Jira Links to identify process bottlenecks. E-commerce support leads monitor satisfaction survey trends and tag categorization to prioritize high-impact product issues. Finance teams reconcile support costs against organization tiers using the replicated Organizations and Users data.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your Zendesk data by Kondado in minutes.

View Zendesk dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your Zendesk data in natural language.

View MCP setup →

The pipelines below expose every aspect of your support operation for conversational analysis. Query the Tickets pipeline to see current status distributions and channel breakdowns, or examine Ticket Metrics for response time percentiles and resolution efficiency. Ticket Comments reveals conversation sentiment and resolution quality, while Satisfaction Surveys (Scores) quantifies customer happiness with precise ratings. Organizations and Users data enables segmentation analysis by company size or agent tenure, and Groups data clarifies team structures. Jira Links helps track development dependencies affecting support timelines, while Closed and Deleted Tickets ensures no request escapes analysis. Combine Ticket History with Groups to track how tickets flow between teams, or join Tags with Ticket Metrics Events to correlate categorization with SLA breaches. Automated updates on a configurable schedule ensure your chat queries reflect the latest Zendesk activity without stale data.

How to connect Zendesk to Claude, ChatGPT and other AI clients

MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.

Kondado MCP server: https://mcp.kondado.io/mcp
Detailed guide: Claude Detailed guide: ChatGPT
AI vocabulary

Zendesk tables and metrics available via Kondado

Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.

12
Tables
235
Fields
∞
Ad-hoc questions
Closed and Deleted Tickets
Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description.
Ticket Comments
Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body.
Ticket Metrics Events
Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets.
Groups
Lists groups with fields like id, name, and updated_at, along with information about the group's status and description.
Ticket History
Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel.
Jira Links
Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks.
Tags
Contains information about tags associated with tickets, facilitating categorization and search of tickets by tag.
Ticket Metrics
Presents ticket performance metrics, including response time and resolution time, essential for efficiency analysis.
Organizations
Lists organizations with fields like id, name, and created_at, allowing management and categorization of tickets by organization.
Satisfaction Surveys (Scores)
Collects satisfaction survey results, including id, ticket_id, and score, essential for measuring customer satisfaction.
Tickets
Contains information about tickets, including id, status, and timestamps such as created_at and deleted_at.
Users
Stores data about users, including id, name, and contact information such as email and status.
Full docs on the wiki → Connect Zendesk now →

How to connect and use AI with your data

In 3 steps: connect on Kondado, pick dashboard or chat, analyze.

1
Connect Zendesk at app.kondado.com.br

Connect your Zendesk data source on Kondado at app.kondado.com.br and select a Via Kondado destination so your support data lands ready for AI access and for the dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth at app.kondado.com.br. The same simple setup works in both clients with no CLI commands or code required.

3
Chat about Zendesk or open dashboards

Ask questions in natural language about your Tickets, Ticket Metrics, or Satisfaction Surveys data. For visual recurring monitoring of support KPIs, open a ready Power BI or Looker Studio dashboard template.

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Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.

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Marketing and Automation

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Advertising and Media

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Meta Ads Meta Ads
Microsoft Ads Microsoft Ads
Microsoft Advertising Microsoft Advertising
Pinterest Ads Pinterest Ads
TikTok Ads TikTok Ads
X Ads X Ads
YouTube YouTube

E-commerce and Marketplaces

Bling! Bling!
Hotmart Hotmart
Loja Integrada Loja Integrada
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Omie Omie
Pagar.me Pagar.me
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VNDA VNDA
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Financial and Payments

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Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
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Clockify Clockify
EADBOX EADBOX
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MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
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Productivity and Collaboration

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Google Sheets Google Sheets
Jira Jira
monday.com monday.com
Notion Notion
Pipefy Pipefy
Tangerino Tangerino
Toggl Toggl
Trello Trello

Social Media

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User Analytics

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Storage and Transfer

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FTP FTP
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Related on Kondado

Frequently asked questions about AI

How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.

What types of Zendesk business questions can I ask Claude or ChatGPT in chat? ▼
You can ask about ticket volume trends by channel, average first response times per agent group, customer satisfaction rating distributions, or escalation rates from specific organizations. The AI analyzes your replicated Ticket Metrics, Satisfaction Surveys, and Tickets data to answer operational queries in natural language.
How do I configure Claude Web or Desktop to access my Zendesk data through Kondado? ▼
Open the connection settings in Claude Web or Desktop and add the Kondado MCP server endpoint. You will be redirected to app.kondado.com.br to authorize access via OAuth, granting the AI read-only access to your replicated Zendesk pipelines without any command line setup.
How does authentication work when connecting ChatGPT to Kondado for Zendesk analysis? ▼
In ChatGPT's connection settings, add the Kondado MCP server and complete a one-time OAuth authorization at app.kondado.com.br. This secure flow connects your Zendesk data source to the chat interface, allowing immediate conversational analysis without API keys or technical configuration.
Can the AI execute actions in Zendesk or write data back to tickets? ▼
No, the AI provides read-only analytical chat capabilities. It can analyze Ticket History, Groups, and Organizations data to generate insights, but cannot submit new tickets, update statuses, or modify any data in your Zendesk account.
How often is my Zendesk data updated for AI querying? ▼
Kondado replicates Zendesk data on a configurable schedule that you control, ensuring the AI answers reflect recent activity. Near-real-time updates keep your Ticket Metrics and Satisfaction Surveys current for accurate performance discussions.
What dashboard templates are available for visual monitoring of Zendesk metrics? ▼
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same Tickets, Ticket Metrics, and Satisfaction Surveys data available to the AI. These templates provide recurring visual monitoring while the AI chat handles ad-hoc exploratory questions.
What is the difference between asking the AI in chat and opening a ready dashboard? ▼
The AI chat in Claude or ChatGPT answers specific, spontaneous questions about your Zendesk data using natural language, while ready Power BI and Looker Studio reports provide fixed visual layouts for recurring metric monitoring. Both access the same replicated data but serve different analytical needs.

Try out all the features for free for 14 days