Chat with your Huggy data

AI to analyze Huggy data with Claude and ChatGPT

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

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Huggy
You
How many chats did we handle last week?
Huggy Chats
You handled 1,247 conversations last week with an average first-response time of 3.2 minutes.
Via Kondado MCP
You
Which agent had the highest satisfaction score?
Huggy Agents
Sarah M. achieved 4.8/5.0 across 89 rated conversations, 12% above team average.
Via Kondado MCP
You
How many new contacts did we capture this month?
Huggy Contacts
Your team captured 3,456 new leads via Huggy channels, a 23% increase from last month.
Via Kondado MCP
You
What is our current chat satisfaction rate?
Huggy Surveys
Current satisfaction rate is 4.6 out of 5.0 based on 342 survey responses this week.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to Analyze Huggy Data with Claude and ChatGPT

Ask Claude, ChatGPT, or any MCP client about your Huggy data using natural language. Query agent performance metrics, chat satisfaction scores, or contact conversion trends without writing SQL. Get instant answers about response times, lead capture volumes, and customer feedback patterns directly in your AI assistant chat window.

Kondado replicates Huggy data to a structured destination and exposes it via MCP server for analysis in Claude, ChatGPT, and other MCP clients. The setup includes 4 data pipelines covering Agents, Contacts, Chats, and Chat Satisfaction Surveys. The same replicated data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Support managers track first-response times and agent workload distribution by asking about Chats and Agents pipelines. Marketing analysts segment contact lists and measure lead quality through natural language queries about the Contacts pipeline. Operations teams monitor satisfaction survey trends and identify coaching opportunities by chatting about feedback scores across the Chat Satisfaction Surveys and Chats pipelines. E-commerce managers correlate conversation volumes with sales cycles by cross-referencing chat timestamps with business periods.

I prefer ready dashboards

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

View Huggy dashboards →

I want to ask the AI

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

View MCP setup →

The four data pipelines below unlock comprehensive insights into your omnichannel communication performance and customer engagement metrics. Query the Contacts pipeline to analyze lead acquisition volumes, demographic segmentation, and contact growth trends over time, or explore the Chats pipeline to understand conversation volumes, resolution times, and channel distribution across your support and sales teams. The Agents pipeline reveals detailed team productivity patterns, individual performance metrics, and department allocation efficiency, while Chat Satisfaction Surveys deliver quantitative feedback scores and qualitative review themes that highlight service quality trends. Cross-analyzing these pipelines reveals valuable correlations between specific agent assignments and customer satisfaction ratings, or identifies which contact segments generate the highest support chat volumes versus sales inquiries across different time periods. Automated updates on a configurable schedule ensure your AI assistant always references fresh conversation data and current satisfaction metrics when answering questions about your latest customer interactions.

How to connect Huggy 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

Huggy 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
33
Fields
∞
Ad-hoc questions
Agents
Table contains information about agents, including fields such as id, name, and department.
Contacts
Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.
Chats
Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.
Chat Satisfaction Surveys
Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.
Full docs on the wiki → Connect Huggy now →

How to connect and use AI with your data

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

1
Connect Huggy and select Via Kondado destination

Connect Huggy as a data source at app.kondado.com.br and pick a Via Kondado destination so your data lands ready for AI access and for the dashboard templates.

2
Add Kondado MCP server in AI settings

In Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth, with the same GUI setup in both clients and no CLI or code needed.

3
Ask about Huggy data or open dashboards

Ask questions in chat using natural language about Huggy data, and for visual recurring monitoring, open a ready Power BI or Looker Studio dashboard template.

Other connectors with AI via MCP

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

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Exact Sales Exact Sales
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Meetime Meetime
NectarCRM NectarCRM
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Ploomes Ploomes
RDStation CRM RDStation CRM
Salesforce Salesforce

Marketing and Automation

Google Ads Google Ads
E-goi E-goi
Google Search Console Google Search Console
Hi Platform Hi Platform
Linkedin Linkedin
MailChimp MailChimp
Mandrill Mandrill
Mautic Mautic
Pushwoosh Pushwoosh
RDStation RDStation
Salesforce Marketing Cloud (Exact Target) Salesforce Marketing Cloud (Exact Target)
SenseData SenseData
Taboola Taboola
Twilio Twilio
WordPress WordPress

Advertising and Media

Apple App Store Apple App Store
Bing Bing
Criteo Criteo
Facebook Facebook
Facebook Ads Facebook Ads
Google Play Store Google Play Store
Instagram Ads Instagram Ads
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
Mercado Libre Mercado Libre
Nuvemshop (Tiendanube) Nuvemshop (Tiendanube)
Olist Tiny Olist Tiny
Omie Omie
Pagar.me Pagar.me
Shopify Shopify
Tiny ERP Tiny ERP
Tray Tray
VNDA VNDA
VTEX VTEX
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Financial and Payments

ASAAS ASAAS
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Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
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EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
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Databases

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Azure Table Storage Azure Table Storage
BigQuery BigQuery
InfluxDB v1 InfluxDB v1
MongoDB MongoDB
MySQL (& MariaDB) MySQL (& MariaDB)
Oracle Oracle
PostgreSQL PostgreSQL
SQLServer SQLServer
Webhook Webhook

Productivity and Collaboration

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

Social Media

Instagram Instagram
TikTok Organic TikTok Organic

User Analytics

Google Analytics GA4 Google Analytics GA4
Mixpanel Mixpanel
Zeeng Zeeng

Storage and Transfer

Amazon S3 Amazon S3
FTP FTP
Google Cloud Storage Google Cloud Storage
See all AI connectors →

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 answer about my Huggy chat data? ▼
Claude can answer questions about agent performance metrics, chat volume trends, and satisfaction survey scores by querying the replicated Huggy data. You can ask about average response times, peak conversation hours, or agent workload distribution without technical setup. The AI returns specific numbers and trends based on your Chats, Agents, and Chat Satisfaction Surveys pipelines.
How do I configure ChatGPT to access my Huggy data through Kondado? ▼
In ChatGPT, navigate to the connection settings and add the Kondado MCP server. Authorize the connection once via OAuth at app.kondado.com.br using your Kondado credentials. The GUI-based setup requires no CLI commands or JSON configuration, and the same process works for Claude Web and Desktop.
Does the AI assistant write data back to Huggy or execute actions? ▼
No, the AI provides read-only analytical chat based on replicated data. It cannot create contacts, send messages, modify agent assignments, or execute any actions within your Huggy account. The MCP connection only allows querying the replicated dataset for insights and reporting purposes.
How often does the Huggy data update in the AI chat? ▼
Data updates run on a configurable schedule that you set in Kondado, ensuring the AI references recent information without manual refreshes. The replication keeps the dataset current for accurate answers about chat volumes and satisfaction scores. You control the sync frequency based on your analysis needs.
What is the difference between asking the AI about Huggy data and opening a dashboard template? ▼
The AI chat provides immediate, specific answers to ad-hoc questions using natural language, while Power BI and Looker Studio templates offer visual, recurring monitoring through pre-built charts and graphs. Dashboards are better for tracking trends over time, whereas the AI excels at deep-diving into specific metrics or cross-table analysis on demand.
Which ready dashboard templates are available for Huggy data visualization? ▼
Kondado provides ready report templates in Power BI and Looker Studio that visualize Huggy metrics including agent performance, chat volume trends, and satisfaction ratings. These templates connect to the same replicated data used by the AI chat. They offer visual monitoring while the AI handles conversational analysis.
Can I use other AI assistants besides Claude and ChatGPT with Huggy data? ▼
Yes, any MCP client can connect to Kondado's MCP server to query your Huggy data, including other AI assistants and automation platforms that support the open standard. Claude and ChatGPT are the most popular clients, but the connection works with any compatible MCP client.

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