Chat with your Pipefy data

AI to analyze Pipefy data with Claude and ChatGPT

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

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Pipefy
You
How many cards are currently stuck in the approval phase?
Pipefy Cards
You currently have 47 cards waiting in the Approval phase across all active pipes.
Via Kondado MCP
You
What is the average duration of cards in the Review phase?
Phase Duration
Cards spend an average of 3.2 days in Review, which is 15% longer than last month.
Via Kondado MCP
You
Which organization created the most cards this quarter?
Organizations
The Sales organization leads with 342 cards created, representing 28% of total volume.
Via Kondado MCP
You
How many pipes are currently active versus archived?
Pipe Status
You have 12 active pipes and 3 archived pipes in your current setup.
Via Kondado MCP
Works in Claude, ChatGPT and any MCP client

AI to analyze Pipefy data with Claude and ChatGPT

Chat with Claude, ChatGPT or any MCP client to explore your Pipefy processes through natural language questions that feel like talking to a data analyst. Ask about card completion trends across different pipes, identify bottlenecks slowing down specific workflow phases, or compare database records to understand entity relationships without writing SQL or API calls. The AI reads your replicated Pipefy data and returns instant insights about process performance, operational status, and team productivity metrics.

Kondado replicates data from Pipefy into a structured format accessible via MCP, enabling conversational analysis through Claude, ChatGPT and other compatible clients across 5 core data pipelines including Cards, Phases, and Pipes. The same replicated data also powers ready dashboard templates in Power BI and Looker Studio for teams who prefer visual monitoring over chat-based exploration.

Operations managers can interrogate phase durations to spot delays in active processes, while HR analysts track recruitment pipeline velocity by querying card creation and completion dates across organizational units. Finance teams monitor procurement request statuses and approval cycles in chat, and customer success leaders compare throughput metrics across multiple pipes to allocate resources efficiently. Every question leverages fresh data replicated on a configurable schedule, turning conversational AI into a dedicated Pipefy analyst that understands your specific workflow structure.

I prefer ready dashboards

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

View Pipefy dashboards →

I want to ask the AI

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

View MCP setup →

The data structure below details every field available for conversational analysis within your Pipefy environment. Query the Cards pipeline to surface completion rates and creation timestamps that reveal process velocity across HR or finance workflows, or explore the Phases pipeline to calculate average duration and identify exactly where work gets stuck in approval cycles. The Organizations pipeline unlocks contact-level insights for account management segmentation, while the Pipes pipeline shows process health and status distribution across different operational workflows, and the Databases pipeline tracks entity updates critical for maintaining accurate master data records. Combining Cards with Phases lets you correlate specific task types with delay patterns to prioritize optimization efforts, while joining Pipes with Organizations reveals which business units drive the highest throughput. Data updates on a configurable schedule, ensuring your AI assistant always references current card statuses and recent phase transitions when answering questions about your current operations.

How to connect Pipefy 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

Pipefy 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.

5
Tables
185
Fields
∞
Ad-hoc questions
Cards
Contains information about cards, including ID, title, creation date, and completion status.
Databases
Stores entity data with ID, update timestamp, and replication information.
Organizations
Includes details about organizations, such as ID, name, and contact information.
Phases
Describes the phases of the process, with ID, name, and duration in each phase.
Pipes
Represents the pipes used, including ID, name, and status of the processes.
Full docs on the wiki → Connect Pipefy now →

How to connect and use AI with your data

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

1
Connect Pipefy at app.kondado.com.br

Log into Kondado at app.kondado.com.br to set up your Pipefy data source and select a 'Via Kondado' destination, which prepares your data for both AI access through MCP and the ready Power BI or Looker Studio dashboard 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 complete the one-time OAuth authorization at app.kondado.com.br to enable chat-based analysis without any CLI commands or code.

3
Ask questions or open dashboards

Start chatting with natural language questions about your Pipefy cards, phases, and pipes, or open a ready Power BI or Looker Studio dashboard template for visual recurring monitoring of your process metrics.

Other connectors with AI via MCP

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

CRM and Sales

ActiveCampaign ActiveCampaign
Bitrix24 CRM Bitrix24 CRM
Exact Sales Exact Sales
Hubspot Hubspot
Infusionsoft (Keap) Infusionsoft (Keap)
Meetime Meetime
NectarCRM NectarCRM
Pipedrive Pipedrive
PipeRun PipeRun
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
Huggy Huggy
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
Wake Commerce Wake Commerce

Financial and Payments

ASAAS ASAAS
ContaAzul ContaAzul
Fatura Simples Fatura Simples
Granatum Granatum
Superlogica Superlogica
Sympla Sympla

Support and Customer Service

55pbx 55pbx
api4com api4com
Blip (take) Blip (take)
Clockify Clockify
EADBOX EADBOX
Freshdesk Freshdesk
Movidesk Movidesk
Recruiterbox Recruiterbox
Stilingue Stilingue
Wootric Wootric
Zendesk Zendesk
Zendesk Chat (Zopim) Zendesk Chat (Zopim)

Databases

AWS CloudWatch Metrics AWS CloudWatch Metrics
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
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 specific business questions can I ask Claude or ChatGPT about my Pipefy data? ▼
You can ask about card completion rates by pipe, average time cards spend in specific phases, database record counts updated this month, or organization-level throughput comparisons. The AI analyzes your replicated Cards, Phases, and Pipes data to answer questions like which phase has the longest average duration or how many cards were created last week in the HR recruitment pipe using natural language without requiring technical query skills.
How do I configure Claude Web or Desktop to connect to my Pipefy data through Kondado? ▼
In Claude's connection settings, add the Kondado MCP server URL and complete the OAuth authorization at app.kondado.com.br to grant read access to your Pipefy pipelines. The same graphical setup works for both Claude Web and Claude Desktop interfaces, requiring no command line tools or JSON configuration files to establish the connection.
How does authentication work when connecting ChatGPT to Pipefy via Kondado? ▼
ChatGPT users add the Kondado MCP server in the client's GUI settings and authorize access through a one-time OAuth flow at app.kondado.com.br, where you select which Pipefy data sources to expose. This single authentication step persists across sessions, allowing continuous chat-based analysis without repeated logins or manual token management.
Can the AI modify data in Pipefy or change card statuses through the chat interface? ▼
No, the integration provides read-only analytical access for chat-based questioning, meaning Claude and ChatGPT can query your Cards, Phases, and Pipes data but cannot create new cards, move phases, or modify existing records. This ensures safe exploration of process metrics and historical trends without risk of altering active workflow data.
How often is the Pipefy data updated when I ask questions in Claude or ChatGPT? ▼
Kondado replicates Pipefy data on a configurable schedule that you set, which could be hourly or daily depending on your operational needs, ensuring the AI references recent information when answering questions. The replication timing applies consistently across all MCP clients including Claude and ChatGPT, as well as the Power BI and Looker Studio dashboard templates.
What dashboard templates are available for Pipefy data in Power BI and Looker Studio? ▼
Kondado provides ready report templates in both Power BI and Looker Studio that visualize Pipefy metrics like card distribution across phases, completion trends over time, and pipe performance comparisons using the same replicated data available to the AI. These templates offer immediate visual monitoring for recurring KPI tracking, complementing the conversational exploration available through chat.
What is the difference between asking the AI about Pipefy data and opening a ready dashboard? ▼
Chatting with Claude or ChatGPT allows ad-hoc, exploratory questioning about specific cards, phase durations, or cross-pipe comparisons using natural language, while ready dashboards in Power BI or Looker Studio provide fixed visual layouts for monitoring standard metrics on a recurring basis. The AI excels at answering one-off investigative questions, whereas dashboard templates serve teams who need consistent visual reporting without typing queries.

Try out all the features for free for 14 days