Chat with your Meetime data

AI to analyze Meetime data with Claude and ChatGPT

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

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Meetime
Works in Claude, ChatGPT and any MCP client

AI to Analyze Meetime Data with Claude and ChatGPT

Ask Claude, ChatGPT or any MCP client about your Meetime sales data in natural language. Query demonstration conversion rates, call connection metrics, or prospect pipeline status without writing SQL. Get instant answers about SDR performance and lead origins directly in your AI chat interface, transforming how inside sales teams access their CRM insights without technical barriers.

Kondado replicates Meetime data into a structured format accessible via MCP server, enabling Claude, ChatGPT and other MCP clients to query 3 pipelines including Demonstrations, Calls and Prospects. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Sales managers and operations teams benefit most from this conversational analytics approach. Marketing analysts can ask about lead origin distribution across prospect records to optimize campaign spend and attribution accuracy. Sales directors query connected call durations versus demonstration bookings to refine SDR scripts and improve booking rates across different prospect segments. Finance teams analyze pipeline velocity by comparing prospect begin dates to demonstration completion status, identifying bottlenecks through simple chat questions that would otherwise require complex report building or manual spreadsheet exports.

The available data pipelines unlock granular insights into your inside sales operations when queried through AI chat. The Demonstrations pipeline reveals demo scheduling efficiency and completion rates across your sales floor, while the Calls pipeline exposes connection patterns and average talk time trends that indicate SDR engagement quality. The Prospects pipeline tracks lead origin attribution and lost reason categorization, helping identify which sources consistently convert to booked meetings versus those requiring additional nurturing. Cross-referencing Calls with Demonstrations shows which conversation lengths correlate with successful demo bookings, while joining Prospects to Calls reveals conversion velocity from lead creation to first contact attempt. With updates on a configurable schedule, your AI assistant always references fresh Meetime records when answering questions about current pipeline status and recent sales activities.

How to connect Meetime 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
AI vocabulary

Meetime 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.

3
Tables
123
Fields
Ad-hoc questions
Demonstrations
Table includes information about demonstrations, featuring fields such as demo title, demo description, demo link, and status.
Calls
Table presents data about calls, including fields such as call date, connected duration, call type, and status.
Prospects
Table provides details about prospects, featuring fields such as begin date, status, lead origin, and lost reason.

How to connect and use AI with your data

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

1
Connect Meetime and select destination

Connect Meetime on Kondado at app.kondado.com.br and pick a 'Via Kondado' destination. Your 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 in ChatGPT, add the Kondado MCP server in the connection settings and authorize once via OAuth. The same setup works in both clients with no CLI or code needed.

3
Chat about data or open dashboards

Ask in chat using natural language about Meetime data. 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.

CRM and Sales

Marketing and Automation

Advertising and Media

E-commerce and Marketplaces

Financial and Payments

Support and Customer Service

Databases

Productivity and Collaboration

Social Media

User Analytics

Storage and Transfer

Frequently asked questions about AI

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

What sales KPIs can Claude or ChatGPT calculate from my Meetime data in chat?
You can ask about demonstration booking rates, average connected call duration by SDR, prospect conversion ratios from specific lead origins, and pipeline velocity metrics. The AI calculates these from the Demonstrations, Calls and Prospects pipelines using natural language requests like "show me conversion by lead source last month."
How do I connect ChatGPT to analyze Meetime pipelines through Kondado?
Open ChatGPT settings, add the Kondado MCP server, and authorize via OAuth at app.kondado.com.br. This one-time setup requires no code or CLI commands, just GUI-based configuration in your ChatGPT interface.
Can the AI update prospect statuses or schedule demonstrations in Meetime?
No, the AI provides read-only analytical chat. It cannot modify prospect records, update demonstration statuses, or create calls in Meetime. Use this feature for data analysis and insights only, not for workflow actions or data entry.
How often does Meetime data refresh in Claude for accurate sales reporting?
Updates follow your configured replication schedule set in Kondado, ensuring Claude references current demonstration bookings and recent call records. The frequency depends on your pipeline settings, providing near-real-time visibility without manual refreshes.
What is the difference between asking ChatGPT about Meetime data and using the Power BI dashboard template?
Chatting with Claude or ChatGPT offers exploratory analysis through conversation, ideal for ad-hoc questions about specific prospect segments or call patterns. The Power BI and Looker Studio templates provide fixed visual reports for recurring monitoring of standardized sales metrics.
Do I need technical skills to set up the Kondado MCP server in Claude Web or Desktop?
No technical expertise required. The setup uses GUI-based OAuth authorization at app.kondado.com.br followed by adding the server in Claude Web or Desktop connection settings. No JSON editing, CLI commands, or API configuration needed.
Which specific Meetime pipelines can I query when using ChatGPT with Kondado?
You can query three pipelines: Demonstrations (demo titles, descriptions, links, status), Calls (dates, durations, types, connection status), and Prospects (begin dates, statuses, origins, lost reasons). These cover 123 fields total for comprehensive sales analysis.

Try out all the features for free for 14 days