Chat with your Tiny ERP data

AI to analyze Tiny ERP data with Claude and ChatGPT

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

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Tiny ERP
Works in Claude, ChatGPT and any MCP client

AI to analyze Tiny ERP data with Claude and ChatGPT

Chat directly with Claude, ChatGPT, or any MCP client to explore your Tiny ERP data using natural language. Ask about sales trends across your e-commerce orders, check the status of overdue accounts receivable, or analyze inventory levels for your top products without writing a single query. The AI reads from your replicated data and returns answers instantly, turning complex ERP information into clear business insights that help you understand business performance at a glance.

Kondado exposes Tiny ERP data through an MCP server, enabling Claude, ChatGPT, and other MCP clients to query 15 pipelines covering sales, finance, inventory, and CRM. The same data powering your AI conversations also fuels ready dashboards in Power BI and Looker Studio for visual monitoring.

E-commerce managers use this conversational analysis to track order fulfillment rates and identify bestselling product categories across marketplaces, while finance teams monitor cash flow by querying accounts payable aging and outstanding receivables balances. Operations analysts review CRM issue resolution times and product inventory turnover rates to optimize stock levels and prevent shortages. Simply type your question in chat to uncover actionable patterns in your ERP data that drive smarter inventory purchases, credit decisions, and customer service improvements.

The following pipelines unlock detailed insights when queried through your AI assistant. Query the Accounts Receivable and Accounts Payable pipelines to analyze cash flow trends and identify overdue payments requiring attention. Explore the Orders and Order Details pipelines to understand sales performance by channel and track average order values over time. Review the Product Inventory pipeline to monitor stock levels and the CRM Issues pipeline to track customer service ticket resolution rates. Combine data from the Orders pipeline with Product Inventory to analyze how stock availability impacts sales velocity, or link Accounts Receivable with Contacts to prioritize collection efforts by customer segment and payment history. Data refreshes on a configurable schedule, ensuring your conversational analysis always reflects current business conditions rather than outdated snapshots.

How to connect Tiny ERP 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

Tiny ERP 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.

15
Tables
792
Fields
Ad-hoc questions
CRM Issues
Includes fields such as assunto_id, assunto_cliente, and assunto_data_acao, enabling tracking of the stage and status of each issue.
CRM Issues Details
Presents detailed information such as cliente_codigo, cliente_nome, and cliente_endereco, facilitating the analysis of associated contacts.
Accounts Payable
Contains records with id, data_emissao, and valor, allowing control over accounts payable and their respective statuses.
Accounts Receivable
Includes fields such as id, data_emissao, and saldo, facilitating the management of accounts receivable and their history.
Contacts
Contains information such as cliente_id_cliente, cliente_nome, and cliente_fone, allowing effective management of contacts.
Accounts Payable Details
Includes fields such as id, data_vencimento, and situacao, allowing detailed tracking of accounts payable.
Accounts Receivable Details
Presents information such as id, data_vencimento, and saldo, facilitating control over accounts receivable.
Invoice Details
Includes fields such as id, data_emissao, and historico, allowing detailed tracking of issued invoices.
Invoice Details: XML
Presents information in XML format, including fields such as id and tax data, facilitating integration with external systems.
Order Details
Includes fields such as id, data_pedido, and valor_total, allowing detailed tracking of placed orders.
Product Inventory
Table provides information about inventory, including fields such as id, product name, and available quantity.
Invoices
Table contains details of invoices, featuring fields such as id, issue date, and customer name.
Orders
Table lists the orders placed, including fields such as order id, order date, and status.
Products
Table presents information about products, with fields such as id, name, and price.
Product Grid
Table provides a detailed grid of products, including fields such as id, description, and category.

How to connect and use AI with your data

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

1
Connect Tiny ERP on Kondado

Replicate your Tiny ERP data by setting up a data source at app.kondado.com.br and selecting the Via Kondado destination, which prepares your data for both AI access and the ready Power BI and Looker Studio dashboard templates.

2
Add Kondado server in AI settings

Open Claude Web or Desktop, or ChatGPT, navigate to the MCP server connection settings, add the Kondado server, and complete the OAuth authorization at app.kondado.com.br to enable querying without CLI commands or code.

3
Ask natural language questions

Start chatting with your AI assistant about Tiny ERP metrics like sales totals or inventory levels, and for ongoing visual tracking, open one of the ready dashboard templates in Power BI or Looker Studio powered by the same data.

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 specific business questions can I ask Claude or ChatGPT about my Tiny ERP data?
You can ask about sales performance such as total revenue last month or top-selling products, financial health including overdue accounts receivable totals and accounts payable aging, and operational metrics like current inventory levels by warehouse or open CRM issue counts. The AI analyzes data from all 15 available pipelines including Orders, Invoices, Product Inventory, and Accounts Receivable to provide specific numerical answers and trends.
How do I configure Claude or ChatGPT to access my Tiny ERP data through Kondado?
In Claude Web or Desktop, or within the ChatGPT interface, navigate to the connection settings and add the Kondado MCP server using the provided URL. You will be redirected to app.kondado.com.br to authorize access via OAuth, granting the AI permission to query your replicated Tiny ERP data without requiring any command line installation or JSON configuration.
Can the AI perform actions or write data back to my Tiny ERP account?
No, the AI connection is read-only for analytical purposes. Claude, ChatGPT, and other MCP clients can only query and analyze your existing Tiny ERP data to answer questions about sales, inventory, and financial records. They cannot create invoices, update inventory counts, modify customer records, or perform any write operations within your ERP system.
How does the OAuth authentication work when connecting Tiny ERP to the AI?
When you add the Kondado MCP server in Claude or ChatGPT, the interface prompts you to sign in at app.kondado.com.br where you authenticate with your existing Kondado credentials. This one-time authorization creates a token allowing the AI to query your data, with the entire process managed through the graphical user interface without technical setup steps.
How often is the Tiny ERP data updated when I chat with the AI?
Kondado replicates your Tiny ERP data on a configurable schedule that you control, which could be hourly or daily depending on your business needs. When you ask questions in chat, the AI reads from this latest replicated dataset, ensuring answers reflect your most recent transactions, inventory levels, and financial records within the update window you selected.
What is the difference between asking the AI about Tiny ERP data and using a ready dashboard?
Chatting with Claude or ChatGPT provides exploratory, conversational analysis where you ask spontaneous questions in natural language and receive immediate text-based answers about specific metrics. Ready dashboards in Power BI and Looker Studio offer visual, recurring monitoring with charts and graphs that you access repeatedly to track KPIs over time, using the same underlying data replicated by Kondado.
Which ready dashboard templates are available for visual monitoring of Tiny ERP data?
Kondado provides report templates for Power BI and Looker Studio that visualize your Tiny ERP data through pre-built charts showing sales trends, accounts receivable aging, inventory levels, and order fulfillment metrics. These templates connect directly to your replicated data and update on a configurable schedule, complementing the conversational AI analysis with visual dashboards designed for regular business monitoring.
Do other MCP clients besides Claude and ChatGPT work with Kondado?
Yes, while Claude and ChatGPT are the primary interfaces showcased, any MCP client that supports the Model Context Protocol standard can connect to Kondado's server to query Tiny ERP data. This includes other chat interfaces and analytical tools that implement MCP, all accessing the same 15 pipelines through the OAuth authentication flow at app.kondado.com.br.

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