Chat with your InfluxDB v1 data

AI to analyze InfluxDB v1 data with Claude and ChatGPT

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

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InfluxDB v1
You
What was the average CPU latency from InfluxDB v1 yesterday?
Performance Metrics
Your average CPU latency yesterday was 12.4 milliseconds across all monitored servers.
Via Kondado MCP
You
How many sensor readings did we collect this week?
IoT Telemetry
You collected 2.847 million sensor measurement data points this week.
Via Kondado MCP
You
Which hour had the highest error rate in the last 24h?
Error Monitoring
The highest error rate occurred at 14:00 with 3.2% of requests failing.
Via Kondado MCP
You
Compare this month's throughput vs last month
Throughput Trends
This month's throughput is +18% higher than last month, averaging 847 queries per second.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze InfluxDB v1 data with Claude and ChatGPT

Connect your InfluxDB v1 time-series database to Kondado and start asking Claude, ChatGPT or any other MCP client questions about your metrics in natural language. Query sensor readings, server performance trends, or application event volumes directly through chat without writing InfluxQL queries. Whether you need to check peak throughput periods or compare current latency against historical baselines, the AI retrieves fresh data from your pipelines instantly.

Kondado exposes InfluxDB v1 data through an MCP server, enabling Claude, ChatGPT and other MCP clients to query two distinct measurement pipelines: incremental measurement data and moving window measurement data. The same replicated data also powers ready reports in Power BI and Looker Studio for visual monitoring.

Infrastructure engineers, IoT product managers, and DevOps teams benefit from instant analytical access to their time-series metrics without manual query building. Ask about error rate spikes during specific maintenance windows, identify which sensors reported anomalous readings last week, or calculate average response times across application clusters. The chat interface transforms complex temporal data into immediate operational insights for technical and business stakeholders alike.

I prefer ready dashboards

Dashboard templates in Power BI and Looker Studio, connected to your InfluxDB v1 data by Kondado in minutes.

View InfluxDB v1 dashboards →

I want to ask the AI

Claude, ChatGPT and other MCP clients query your InfluxDB v1 data in natural language.

View MCP setup →

Data available for analysis

The available pipelines below unlock granular visibility into your InfluxDB v1 measurement streams, delivering structured time-series data directly to your AI assistant for immediate natural language analysis. Dados de Medição (Incremental) captures new metrics collected incrementally since the last execution, making it perfect for tracking cumulative sensor readings or growing event counts over extended periods while maintaining complete historical continuity for trend validation. Dados de Medição (Janela Móvel) provides a configurable sliding time window view, ideal for analyzing recent performance trends, calculating rolling operational averages, or detecting short-term behavioral patterns within specific temporal contexts that require immediate attention. Combining both pipelines enables comprehensive cross-temporal analysis, allowing you to contrast long-term accumulation patterns against immediate fluctuations to identify anomalies, seasonal variations, or gradual infrastructure degradation before they impact operations. Scheduled updates on a configurable schedule ensure your AI conversations always reference the latest telemetry from your infrastructure rather than outdated snapshots that might lead to incorrect operational decisions.

How to connect InfluxDB v1 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

InfluxDB v1 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.

2
Tables
∞
Ad-hoc questions
Dados de Medição (Incremental)
Measurement data collected incrementally from the last execution
Dados de Medição (Janela Móvel)
Measurement data with a configurable moving time window
Full docs on the wiki → Connect InfluxDB v1 now →

How to connect and use AI with your data

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

1
Connect InfluxDB v1 at app.kondado.com.br

Log into Kondado and add InfluxDB v1 as a data source, selecting a Via Kondado destination so your measurement data lands ready for AI analysis and report templates.

2
Add Kondado MCP in Claude or ChatGPT

Open the connection settings in Claude (Web or Desktop) or ChatGPT, add the Kondado MCP server, and authorize once via OAuth at app.kondado.com.br. No CLI commands or JSON configuration required.

3
Ask about your data or open reports

Start chatting with natural language questions about your InfluxDB v1 metrics and trends. For visual recurring monitoring, open a ready Power BI or Looker Studio report template.

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

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Social Media

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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 infrastructure monitoring questions can I ask Claude about my InfluxDB v1 data? ▼
You can ask about peak throughput periods, average latency trends over specific time windows, error rate comparisons between deployment cycles, or anomaly detection in sensor readings. The AI queries your Dados de Medição pipelines to return numerical answers about infrastructure performance and IoT telemetry without requiring InfluxQL syntax.
How do I configure ChatGPT to access my InfluxDB v1 metrics through Kondado? ▼
Open ChatGPT and navigate to the connection settings to add the Kondado MCP server. Authorize once via OAuth at app.kondado.com.br to grant read-only access to your InfluxDB v1 pipelines. The GUI-based setup requires no CLI commands or coding, with identical configuration steps available in Claude Web or Desktop.
Does the AI write data back to my InfluxDB v1 database or modify metrics? ▼
No, the AI provides read-only analytical chat capabilities. It cannot insert new measurements, modify existing time-series data, or perform write operations against your InfluxDB v1 database. The MCP connection strictly supports querying replicated data for analysis and reporting purposes.
How often does the data refresh in the AI chat for InfluxDB v1 measurements? ▼
Updates occur on a configurable schedule that you set when configuring your InfluxDB v1 pipelines in Kondado. This near-real-time refresh ensures Claude and ChatGPT reference current telemetry rather than stale snapshots when answering questions about your latest infrastructure metrics.
What is the difference between asking the AI about InfluxDB v1 data and using the Power BI report templates? ▼
AI chat delivers immediate numerical answers to specific ad-hoc questions about your time-series data through conversational queries. Ready reports in Power BI and Looker Studio provide persistent visual monitoring with pre-built charts and graphs for recurring operational reviews of the same underlying InfluxDB v1 data.
Can I use other MCP clients besides Claude and ChatGPT to query my InfluxDB v1 data? ▼
Yes, any MCP client can connect to your InfluxDB v1 data through Kondado. While Claude and ChatGPT are the most popular interfaces, other compatible clients work equally well with the same OAuth authentication and pipeline access.
How does authentication work when connecting Claude to my InfluxDB v1 data on Kondado? ▼
Authentication uses standard OAuth flow through app.kondado.com.br. When you add the Kondado MCP server in Claude or ChatGPT, you will be redirected to authorize the connection once, granting the AI read access to your specific InfluxDB v1 measurement pipelines without sharing database credentials directly with the client.

Try out all the features for free for 14 days