Chat with your Freshdesk data

AI to analyze Freshdesk data with Claude and ChatGPT

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

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Freshdesk
You
How many open high priority tickets do we have right now?
Freshdesk Tickets
You currently have 47 open high priority tickets, with 12 assigned to the tier-2 support queue.
Via Kondado MCP
You
Which agent resolved the most tickets last week?
Agent Performance
Sarah Chen resolved 89 tickets last week, achieving a 94% customer satisfaction score.
Via Kondado MCP
You
What is our average first response time this month compared to last?
Response Metrics
Your average first response time improved to 2.3 hours this month, down from 3.1 hours in the previous period.
Via Kondado MCP
You
How many new contacts were created this quarter?
Contact Growth
1,247 new contacts were added to your Freshdesk this quarter, representing a 15% increase QoQ.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Freshdesk data with Claude and ChatGPT

Connect your Freshdesk data source to Kondado and start asking questions in natural language through Claude, ChatGPT, or any other MCP client. Analyze ticket resolution times, agent performance metrics, and customer satisfaction trends without writing SQL or opening spreadsheets. Simply chat with your AI assistant to uncover insights about support volume, priority distributions, and response SLAs across your helpdesk operations.

Kondado replicates Freshdesk data, exposing 4 pipelines with 87 fields via the MCP standard for analysis in Claude, ChatGPT, and compatible clients. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Customer support managers and operations leaders benefit most from this conversational analytics approach. Ask about average first response times by agent, compare ticket volumes across months, or identify which custom fields correlate with escalations. Marketing and finance teams can also query contact growth trends and support cost allocations directly in chat to inform strategic decisions without waiting for BI developers to build new views.

I prefer ready dashboards

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

View Freshdesk dashboards →

I want to ask the AI

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

View MCP setup →

The following pipelines contain your Freshdesk operational data ready for natural language queries. Query the Agents pipeline to review individual workload distribution and availability status, or explore the Contacts pipeline to segment customers by creation date and engagement history. The Tickets pipeline unlocks analysis of resolution times, status distributions, and priority patterns, while the Tickets: custom fields pipeline reveals how your specific categorization tags and custom attributes correlate with resolution outcomes. Cross-reference agent assignments with ticket priorities to identify workload imbalances, or link contact creation dates with ticket volumes to spot onboarding issues affecting support demand. With automated updates on a configurable schedule, your AI assistant always references the latest Freshdesk information when answering questions about current queue status or recent performance trends.

How to connect Freshdesk 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

Freshdesk 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.

4
Tables
87
Fields
∞
Ad-hoc questions
Agents
Table contains information about agents, including ID, name, email, availability status, and last updated timestamp.
Contacts
Table presents contact data, such as ID, name, phone, email, and creation timestamp.
Tickets
Table includes ticket details, such as ID, subject, status, priority, and creation and updated timestamps.
Tickets: custom fields
Table presents custom fields of tickets, including unique ticket ID and associated tags.
Full docs on the wiki → Connect Freshdesk now →

How to connect and use AI with your data

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

1
Connect Freshdesk at app.kondado.com.br

Visit app.kondado.com.br to connect your Freshdesk data source and select a 'Via Kondado destination' so your data lands ready for both AI access and the available dashboard templates.

2
Add Kondado MCP in Claude or ChatGPT

In Claude (Web or Desktop) or ChatGPT, open the connection settings to add the Kondado MCP server and complete the one-time OAuth authorization at app.kondado.com.br. The graphical setup works identically in both clients without requiring command line tools or JSON configuration.

3
Ask about Freshdesk data in chat

Start asking natural language questions about your Freshdesk tickets, agents, and contacts directly in the chat interface. For visual recurring monitoring of support metrics, open the ready Power BI or Looker Studio dashboard templates available with the same replicated data.

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

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Support and Customer Service

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Oracle Oracle
PostgreSQL PostgreSQL
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Social Media

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User Analytics

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Storage and Transfer

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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 business questions can I ask Claude or ChatGPT about my Freshdesk data? ▼
You can inquire about average resolution times by agent, ticket volume trends over specific periods, or correlations between custom fields and escalation rates. The AI reads your replicated Freshdesk data to calculate metrics like first response times and priority distributions directly in the chat interface.
How do I configure Claude or ChatGPT to access my Freshdesk data through Kondado? ▼
In Claude Web or Desktop, or within the ChatGPT interface, navigate to the connection settings and add the Kondado MCP server. Authorize the connection once via OAuth at app.kondado.com.br using your existing Kondado credentials, with no command line tools or code installation required.
Can the AI execute actions in Freshdesk or modify ticket data? ▼
No, the AI interaction is read-only analytical chat. Claude, ChatGPT, and other MCP clients can only query and analyze your replicated Freshdesk data to provide insights. They cannot create tickets, update statuses, or perform any write operations back to your helpdesk system.
How frequently does the Freshdesk data update for AI queries? ▼
Kondado replicates your Freshdesk data on a configurable schedule that you control, ensuring the AI references current information without manual refreshes. This near-real-time synchronization means your conversational analysis reflects the latest ticket activities and agent updates.
What dashboard templates are available for visual Freshdesk monitoring? ▼
Kondado offers ready report templates in Power BI and Looker Studio that visualize the same Freshdesk data available for AI chat. These templates provide recurring visual monitoring of support metrics, complementing the conversational analysis with structured dashboard views.
What is the difference between asking the AI about Freshdesk data and opening a ready dashboard? ▼
Chatting with Claude or ChatGPT allows exploratory, ad-hoc questioning about specific Freshdesk scenarios using natural language, while ready dashboards in Power BI or Looker Studio provide fixed visual layouts for recurring metric monitoring. Use AI chat for deep-dive investigations and dashboards for standardized daily oversight.

Try out all the features for free for 14 days