Rondônia Dados Abertos MCP for AI. Check public spending, paychecks, and contracts from one query.
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Rondônia Dados Abertos lets you query official public records from the State of Rondônia directly through your AI agent. Check detailed state spending, track vendor payments, and pull payroll data for civil servants.
You can also inspect active contracts and list all available datasets in the local catalog.
What your AI can do
Get dataset
Retrieves detailed information about one specific dataset in the public catalog.
List contratos
Shows all active contracts currently managed by the state executive branch.
List convenios
Consults records for cooperation agreements (convênios) signed with external parties.
Query committed, liquidated, and paid state expenses, giving you a full picture of how public money moves.
Pull detailed records of payments made to specific suppliers, letting you track spending by date and amount.
Search state employee remuneration data using filters for name, job title, or a specific time period.
List and check the status of active government contracts and cooperation agreements (convênios).
Browse the full catalog to list available datasets, organizations, and data groups.
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Rondônia Dados Abertos: 12 Tools for State Audit & Finance
Master datasets, track contracts, monitor finances, and pull payroll records from the State of Rondônia using these 12 specialized tools.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Rondônia Dados Abertos on VinkiusGet Dataset
Retrieves detailed information about one specific dataset in the public catalog.
List Contratos
Shows all active contracts currently managed by the state executive branch.
List Convenios
Consults records for cooperation agreements (convênios) signed with external parties.
List Datasets
Lists all available datasets and themes within the Rondônia open data catalog.
List Despesas
Checks detailed state expenses, including committed funds, liquidated amounts, and...
List Fornecedores Impedidos
Lists suppliers who are currently barred from bidding on new contracts.
List Groups
Retrieves a list of thematic groups or categories available in the data catalog.
List Historico Fornecedores Impedidos
Consults the full history record for suppliers barred from bidding.
List Organizations
Lists all government or private organizations that have contributed data to the...
List Pagamentos Fornecedores
Checks payment records made by the Executive Branch directly to suppliers.
List Receitas
Retrieves data on state revenues collected over time.
List Remuneracao Servidores
Accesses and lists payroll and remuneration data for all state employees.
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Rondônia Dados Abertos. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Pulling state financial reports used to be a nightmare of tabs and downloads.
Today's process means logging into the finance portal, finding the expense module, running filters by date range, then exporting the CSV. If you need payments for a vendor *and* payroll data for an employee, you run two separate reports, download two files, and spend an hour manually matching names and amounts in Excel.
With this MCP server, you tell your agent what you need—for example: 'Show me all payments to CONSTRUTORA and the corresponding staff paychecks from Q2.' The system handles the calls across `list_pagamentos_fornecedores` and `list_remuneracao_servidores`, giving you a single, structured output ready for immediate review.
List all datasets in the Rondônia Dados Abertos MCP Server: Discover data by topic.
Normally, finding usable public data means navigating through dozens of siloed government websites. You waste time figuring out if a dataset is managed by the 'Education Department' or the 'Ministry.'
Now, use `list_datasets` to get an instant directory. This function lists everything available in the CKAN catalog—the full scope of data topics—so you know exactly where to start your investigation.
What your AI can actually do with this
When you hook your AI agent up to Rondônia Dados Abertos, you get direct access to official public records from the State of Rondônia government. This isn't some general data dump; it’s a deep query engine letting you pull specific, auditable state information using natural language prompts.
list_datasets lets you see every single dataset and theme available in the entire open data catalog. If you need to know what kind of public records exist, this is your starting point. You can then use get_dataset to dig into one specific record and retrieve its full details. To narrow down where that data came from, list_organizations lists every government or private group that contributed data; meanwhile, list_groups pulls out the thematic categories, helping you map exactly which topics are covered.
Handling state finances? You've got three tools for the money trail. First, you use list_despesas to check detailed state expenses. This doesn't just give a total—it breaks down funds into committed amounts, liquidated sums, and actual payments made. Next, if you want to track how much cash the state brought in, list_receitas gives you data on collected state revenues over time.
For direct spending records, list_pagamentos_fornecedores checks specific payment records issued by the Executive Branch straight to suppliers, letting you filter by date and value.
To keep tabs on employees, you run list_remuneracao_servidores. This tool accesses state employee payroll data. You can filter those results using name, job title, or a precise time period—it's a detailed look at who gets paid what.
When it comes to contracts and vendors, the system is built for auditing. list_contratos shows every active contract currently managed by the state executive branch. For cooperation agreements with outside groups, you use list_convenios. If you're checking vendor compliance, you can run list_fornecedores_impedidos to get a list of suppliers who are barred from bidding on new contracts; if you need to see why they’re blocked or when it happened, list_historico_fornecedores_impedidos gives you the full history record.
The data also tracks payment flow: while list_pagamentos_fornecedores shows general payments, checking vendor status requires knowing who's in the system from list_organizations and what services they provided.
You don't have to piece this together. Your AI client handles it all. You just point it at your agent, and you can query state spending mechanisms—the committed, liquidated, or paid funds—to get a complete picture of how public money moves through the system. This server lets you pull detailed payment records for specific vendors, letting you track every dime by date and amount.
When reviewing payroll, you aren't limited to broad searches; you can filter results down using name, job title, or a specific month and year.
It’s an absolute deep dive into government accountability. You map all the active contracts and cooperation agreements in one place, so there are no blind spots when tracking state business. It gives you full visibility across the entire catalog—from basic datasets to complex financial histories.
019e38e6-21ce-71bd-87c0-645d8bae4d8c Here's how it actually works
The bottom line is you use conversation. You don't write SQL queries; you just ask for the public data you need.
Subscribe to this server. You'll need your API Key if you plan on hitting high query volumes.
Your AI agent sends a natural language request (e.g., 'Show me payments for CONSTRUTORA in Q1 2023').
The MCP framework routes the request to the correct tool (like list_pagamentos_fornecedores), and your agent gets clean, structured data back.
Who is this actually for?
Anyone dealing with government transparency or large-scale financial audit needs this. If your job involves checking who got paid, what was spent, or if a contract is active, this server saves hours of manual database clicking.
You use list_pagamentos_fornecedores and list_remuneracao_servidores to quickly gather specific payment amounts and payroll details for a story.
You run queries across list_despesas, list_contratos, and list_convenios to verify spending protocols and ensure state compliance.
You use list_datasets and get_dataset to pull structured metadata from the CKAN catalog, which you then feed into a larger data pipeline.
What Changes When You Connect
Audit Spending Flow: Instead of jumping between 'Committed,' 'Liquidated,' and 'Paid' reports, use list_despesas to see the full financial lifecycle of state funds in a single query.
Pinpoint Payments: Need to know exactly who got paid? Use list_pagamentos_fornecedores to pull transaction records for any supplier matching your criteria. This beats sifting through general ledger reports.
Payroll Deep Dive: Forget manual spreadsheet checks. Running list_remuneracao_servidores lets you search payroll data by name or job title across different years instantly.
Contract Tracking: Need to know if a partnership is active? Use list_contratos and list_convenios together to map both formal agreements and cooperation treaties.
Data Discovery: Don't guess what data exists. Start with list_datasets to get a full directory of every topic covered in the Rondônia catalog, saving you time on research.
See it in action
Investigating Vendor Overpayments
You suspect a vendor received too much money. Instead of manually cross-referencing invoices across three different departmental spreadsheets, your agent runs list_pagamentos_fornecedores and filters by the suspicious dates and amounts. You immediately see all related payments from the Executive Branch for review.
Mapping State Funding Flow
You need to understand if a project is properly funded. Your agent runs list_receitas (to check revenue) and then cross-references that data with list_despesas (to see committed funds). This allows you to quickly build a financial narrative without leaving the chat interface.
Tracking Employee Compensation Changes
You are doing research on public sector pay trends. You use list_remuneracao_servidores, specifying different years and job titles. The agent returns structured data showing salary changes, letting you build a comparative report instantly.
Verifying Supplier Compliance
Before approving a major contract, you check the vendor's history. You run list_fornecedores_impedidos and then use list_historico_fornecedores_impedidos. This confirms not only if they are currently barred but also provides context on when and why previous suspensions occurred.
The honest tradeoffs
Searching for a single piece of data
You run list_datasets to find 'transportation' and then have to manually guess which specific dataset ID you need, wasting time linking the general topic to the exact file.
After running list_datasets, use get_dataset immediately on the specific result. This gives you the full metadata—the size, owner, and fields—for that one dataset without any guesswork.
Mixing up contract types
You assume all agreements are listed in one place, so you only check list_contratos, missing critical cooperation deals.
Always run both list_contratos and list_convenios. These tools cover the state's full range of official agreements—from formal contracts to cooperative pacts.
Overlooking historical context
You only check list_fornecedores_impedidos, which tells you who is currently banned, but gives no idea why or when that happened.
Always run list_historico_fornecedores_impedidos after checking the current status. This provides the full timeline needed for a complete compliance picture.
When It Fits, When It Doesn't
Use this server if your goal is financial or compliance transparency regarding state operations in Rondônia. You need to know: who got paid, what was bought, and under what legal agreement.
Don't use it if you are looking for general public policy documents or high-level strategy guides; those belong in dedicated document repositories. If your data gap is purely organizational (e.g., 'What is the mission statement of the state?'), this server won't help.
If your primary need involves combining multiple financial streams—like linking list_receitas to specific expenses found via list_despesas, or tracking payments (list_pagamentos_fornecedores) against active agreements (list_contratos)—this toolset gives you the foundational data points. If you only need a single, isolated piece of information (e.g., just listing groups), then list_groups is fine, but for real analysis, combine tools.
Questions you might have
How do I check all payments made to vendors using list_pagamentos_fornecedores? +
You simply ask your agent for the payment records. The tool runs list_pagamentos_fornecedores and returns structured data showing which suppliers received funds, when, and how much.
Can I find out about state employee salaries using list_remuneracao_servidores? +
Yes. The list_remuneracao_servidores tool allows you to search payroll data by job title, name, or a specific date range for comprehensive salary details.
What's the difference between list_contratos and list_convenios? +
Use list_contratos for formal contracts managed by the state. Use list_convenios to see cooperation agreements, which cover different types of external partnerships.
Does get_dataset give me more detail than list_datasets? +
Yes. list_datasets gives you a general overview of all available datasets. You use get_dataset when you know the dataset ID and want the full, technical metadata for that single resource.
What should I do if I get a rate limit error when using list_despesas? +
You need to pause your queries and consider adding an API Key. Hitting the rate limit means you've made too many requests in a short time. If you plan on heavy analysis, request a higher rate limit through Vinkius.
When running list_organizations, can I filter by sector or department? +
Yes, you must pass the sector parameter to narrow your search. The API expects the sector name as a strict string input. If you omit this, it will return every organization in the catalog.
If I run list_fornecedores_impedidos and get an error, what does that mean? +
The error usually relates to malformed parameters or invalid date ranges. Check the documentation for expected data types (e.g., dates must be YYYY-MM-DD). The tool won't run if the input structure is wrong.
How can I handle large datasets when using list_groups to prevent timeouts? +
Always use pagination parameters, like page_size and offset. Instead of asking for everything at once, break your request into smaller chunks. This keeps the query running smoothly without timing out.
How can I find out how much a specific state employee earned in a certain month? +
You can use the list_remuneracao_servidores tool. Provide the year (Ano), month (Mes), and the employee's name (Nome) to retrieve detailed payroll information.
Is it possible to list all payments made to a specific company by the state? +
Yes! Use the list_pagamentos_fornecedores tool. You can filter by the supplier's name (Credor) or document (DocCredor) and specify a date range using DataInicial and DataFinal.
How do I explore what types of datasets are available in the Rondônia catalog? +
Start by using list_datasets to see all available names, or list_groups to see thematic categories. Once you find an interesting dataset, use get_dataset with its ID to see full metadata and resources.
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