Chat with your Movidesk data

AI to analyze Movidesk data with Claude and ChatGPT

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

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Movidesk
You
How many open tickets do we have from enterprise clients this week?
Movidesk Tickets
You currently have 47 open tickets from enterprise clients, with 12 marked as high priority.
Via Kondado MCP
You
Which agent resolved the most tickets last month and what was their satisfaction score?
Ticket Owners
Mariana Silva resolved 89 tickets with an average satisfaction rating of 4.8 out of 5.
Via Kondado MCP
You
What is the average resolution time for technical vs billing tickets?
Ticket Actions
Technical tickets average 6.2 hours while billing inquiries resolve in 2.1 hours on average.
Via Kondado MCP
You
How has our customer satisfaction trended over the last three months?
Satisfaction Surveys
Satisfaction scores improved +18% since last quarter, rising from 3.9 to 4.6 average rating.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Movidesk Data with Claude and ChatGPT

Connect your Movidesk data source to Kondado and start asking Claude, ChatGPT, or any other MCP client about your support operations using everyday language. You can query ticket resolution trends over the last quarter, compare agent performance across different teams, or analyze customer satisfaction scores without writing a single line of code. Ask about current open ticket volumes filtered by client segment, or drill into specific custom field values to understand recurring request patterns. The AI interprets your natural language questions and returns precise, data-backed answers drawn directly from your Movidesk account.

Kondado provides an MCP server for Movidesk containing 9 pipelines with 164 total fields including Tickets, Ticket Actions, Ticket Owners, and Satisfaction Survey Responses, enabling direct analysis through Claude, ChatGPT, and other compatible MCP clients. The same replicated data also powers ready dashboards in Power BI and Looker Studio for comprehensive visual reporting.

Support team leaders benefit by monitoring individual ticket owner workloads and analyzing parent-child ticket hierarchies to optimize resource allocation across departments. Customer success managers leverage Ticket Clients data alongside Satisfaction Survey Responses to identify at-risk accounts and measure loyalty trends. Operations directors combine information from Custom Ticket Fields with People records to segment incoming requests by organizational department or priority classification. Finance analysts examine protocol patterns and business name correlations to understand support costs by client type. Every stakeholder gets immediate, contextual answers to complex operational questions through simple conversational AI.

I prefer ready dashboards

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

View Movidesk dashboards →

I want to ask the AI

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

View MCP setup →

The following pipelines contain all the Movidesk data available for your AI queries. Ticket Actions records reveal the complete history of interactions on each support ticket, enabling you to analyze resolution workflows and identify bottlenecks in your service process. The Satisfaction Survey Responses pipeline captures direct customer feedback with quantitative ratings, allowing you to correlate sentiment scores with specific Ticket Owners or client segments. Custom Ticket Fields store specialized information unique to your business processes, unlocking insights into request categories that standard fields cannot capture. Ticket Clients and People data together provide comprehensive contact profiles, helping you understand which business names generate the highest ticket volumes.

By joining Tickets with Parent/Child Tickets relationships, you can analyze escalation patterns and complex multi-step issues that span several interactions. Cross-referencing Ticket Actions with Satisfaction Survey Responses reveals which specific agent behaviors drive positive customer outcomes. Data refreshes on a configurable schedule, ensuring your AI conversations always reference the most current ticket statuses and recent customer interactions.

How to connect Movidesk 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

Movidesk 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.

9
Tables
164
Fields
∞
Ad-hoc questions
Ticket Actions
Records actions taken on tickets, including fields such as id, protocol, and origin, enabling analysis of interactions and workflows.
Custom Ticket Fields
Contains information about custom fields in tickets, allowing the inclusion of specific data such as type and value, adapting to user needs.
Ticket Clients
Lists clients associated with tickets, including fields such as id, businessname, and cpfcnpj, facilitating user identification and analysis.
Ticket Owners
Identifies the owners of tickets, with fields such as persons_id and name, allowing efficient management of responsibilities and assignments.
Satisfaction Survey Questions
Stores questions used in satisfaction surveys, allowing feedback analysis with fields such as id and question.
People
Contains information about people, including fields such as id, persontype, and username, facilitating contact and user management.
Satisfaction Survey Responses
Records responses provided in satisfaction surveys, with fields such as id, persons_id, and response, allowing feedback analysis.
Tickets
Stores information about tickets, including fields such as id, protocol, and systemstatus, allowing tracking and management of requests.
Parent/Child Tickets
Defines the relationship between parent and child tickets, with fields such as id and relationship_id, facilitating the management of ticket hierarchies.
Full docs on the wiki → Connect Movidesk now →

How to connect and use AI with your data

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

1
Connect Movidesk at Kondado

Log in to app.kondado.com.br, add Movidesk as a data source, and select a Via Kondado destination so your data lands ready for AI access and dashboard templates.

2
Add MCP Server in AI Client

Open the connection settings in Claude Web or Desktop, or in ChatGPT, add the Kondado MCP server, and authorize via OAuth once. The same simple GUI setup works in both clients with no CLI commands required.

3
Chat About Data or Open Dashboards

Ask natural language questions about your Movidesk tickets, owners, and satisfaction metrics in chat. For visual recurring monitoring, open the ready Power BI or Looker Studio dashboard templates.

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

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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 Claude or ChatGPT answer about my Movidesk data? ▼
You can ask about ticket volume trends by time period, average resolution times per agent, satisfaction survey score distributions, and client segmentation based on ticket frequency. The AI can analyze parent-child ticket relationships to identify complex escalation patterns and correlate Custom Ticket Fields with specific business outcomes. You might query which Ticket Owners handle the most urgent protocols or compare response metrics across different client business names.
How do I configure Claude or ChatGPT to access my Movidesk data through Kondado? ▼
In Claude Web or Desktop, or within the ChatGPT interface, navigate to the connection settings and add the Kondado MCP server. You will authorize access once via OAuth at app.kondado.com.br, granting the AI read access to your replicated Movidesk pipelines. The configuration uses a simple GUI-based setup without requiring command line tools or JSON editing.
How does authentication work when connecting my Movidesk account? ▼
Authentication occurs through a secure OAuth flow at app.kondado.com.br, where you grant Kondado permission to replicate your Movidesk data. After connecting your data source, the same OAuth authorization links your account to Claude, ChatGPT, or other MCP clients. This single sign-on approach ensures the AI only accesses data you have explicitly authorized.
Can the AI execute actions in Movidesk or write new tickets? ▼
No, the AI provides read-only analytical chat capabilities. You can query, analyze, and explore your Tickets, Ticket Actions, and Satisfaction Survey Responses through natural language conversation, but the system cannot create new tickets, update statuses, or modify any records in your Movidesk environment. This ensures safe exploration of historical and current data without risk of altering your production system.
How often is the Movidesk data updated for AI queries? ▼
Data replication occurs on a configurable schedule that you set according to your business needs, ranging from frequent intervals to daily updates. This automated refresh ensures that when you ask Claude or ChatGPT about current ticket volumes or recent satisfaction survey submissions, the answers reflect your latest Movidesk information. You maintain control over the sync timing through your Kondado dashboard settings.
What dashboard templates are available for visualizing Movidesk data? ▼
Kondado offers ready reports in Power BI and Looker Studio specifically designed for Movidesk analysis, including visualizations for ticket trends, agent performance metrics, and customer satisfaction tracking. These templates connect directly to the same replicated data used by the AI chat, providing visual monitoring for recurring KPIs. You can customize these reports to highlight specific protocols, Ticket Owner workloads, or client segments relevant to your operations.
What is the difference between asking the AI in chat and using a ready dashboard? ▼
The AI chat interface allows ad-hoc exploration and answers specific questions on demand, such as comparing satisfaction scores between two quarters or identifying outliers in Custom Ticket Fields. Ready dashboards in Power BI or Looker Studio provide structured visual monitoring of standard metrics like ticket volume trends and resolution time averages. While the AI excels at investigative analysis and hypothesis testing, dashboards offer consistent visual tracking for regular operational reviews.

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