Campinas Open Data MCP for AI. Map, search, and inspect public city datasets.
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Campinas Open Data connects your AI agent directly to the Campinas Open Data Portal, allowing you to explore public datasets from city departments.
You can search for specific topics like health or education, list all available organizations, and retrieve detailed metadata for any resource—CSV, PDF, or API endpoint.
It’s pure data discovery, straight out of Brazil's civic records.
What your AI can do
Campinas list groups
Lists all major thematic groups used to categorize the available datasets.
Campinas list organizations
Provides a list of every city department that contributes data to the portal.
Campinas list packages
Lists the names of all available dataset packages in the portal.
Search for data packages using keywords across all available topics.
Get a complete list of organizations that contribute public data to the portal.
Retrieve full technical details for any dataset or individual resource file, showing formats and update dates.
Narrow down the scope of search results to a specific thematic category (e.g., 'Health' or 'Transport').
Get direct access points and metadata for files like CSVs, PDFs, or API endpoints.
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Campinas Open Data: 8 Tools
These tools let your agent discover, categorize, and retrieve the technical details of public datasets from Campinas' official open data portal.
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 Campinas Open Data on VinkiusCampinas List Groups
Lists all major thematic groups used to categorize the available datasets.
Campinas List Organizations
Provides a list of every city department that contributes data to the portal.
Campinas List Packages
Lists the names of all available dataset packages in the portal.
Campinas Search Packages
Searches for datasets that match specific keywords or criteria you provide.
Campinas Get Package
Retrieves the full metadata definition for a specific dataset package.
Campinas Search Resources
Searches for individual data files (resources) based on defined fields like name or category.
Campinas Get Resource
Gets metadata details about one specific data resource within a package.
Campinas List Tags
Returns a list of all tags used to categorize data across the entire platform.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Campinas Open Data integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Campinas Open Data, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
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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 Campinas Open Data Portal. 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 8 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Finding public data used to be a maze of tabs and clicks.
Right now, finding one piece of city data means navigating the main portal, clicking through multiple departmental sections, manually checking which organization owns what, and often downloading dozens of PDF documents just to find the correct table name. It’s a massive copy-paste job that takes hours.
With this MCP, you ask your agent directly. You don't click anything; you just describe the data you need (e.g., 'I need all health metrics from the municipal department'). The system returns structured metadata and links immediately.
Inspect Data Packages with `campinas_get_package`.
Manually, if you found a dataset name, your first step was downloading the file or opening its landing page just to check the columns and data types. You had to guess what was inside.
Now, you run `campinas_get_package`. It returns the full schema definition instantly. That's it. You know the structure before you even write a line of code.
What your AI can actually do with this
Need information on urban policy but don't know where to start? This MCP lets you talk to the Campinas Open Data Portal like a human librarian. You simply ask your agent what you need—maybe datasets related to public spending or transport infrastructure—and it handles the deep search through thousands of records.
It doesn't just give you links; it helps map out which city departments own which data packages, and it provides full technical metadata for every file type found. This is how you get structured insight without manual clicking. The Vinkius catalog makes this connection available across any compatible AI client, meaning your research workflow stays in one place.
You can inspect the API schemas of resources or find thematic groups like 'Education' or 'Finance' with simple conversation prompts.
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Here's how it actually works
The bottom line is you talk to it naturally; the MCP figures out which tool calls are needed behind the scenes.
Subscribe to the MCP and provide your Campinas Portal API Key (if restricted access is needed).
Ask your AI client a discovery question, such as 'List all organizations that hold data on transport.'
The agent executes the necessary lookups and returns structured metadata about packages, groups, or specific resources.
Who is this actually for?
This is for data professionals who need breadth over depth. Think academic researchers, internal ops engineers building dashboards, or journalists digging into public spending. If your job involves connecting disparate civic records, this MCP saves you days of manual portal navigation.
Needs to identify the source and structure of data before it can be modeled for a dashboard.
Must find multiple datasets covering related topics, like education paired with local demographics, across different city departments.
Needs to quickly check public spending records or health metrics by cross-referencing data from several listed organizations.
What Changes When You Connect
Stop guessing where data lives. By using campinas_list_organizations, you immediately see every department providing records, eliminating the need to check multiple departmental websites manually.
You don't have to sift through everything. If you know your topic (e.g., 'health'), use campinas_search_packages to filter thousands of datasets down to relevant groups instantly.
Metadata deep dive: When a dataset looks promising, run campinas_get_package to get the full technical schema, letting developers know exactly what fields they're dealing with before writing code.
Better browsing: If you just want an idea of available topics, checking the thematic groups via campinas_list_groups gives you a quick map of all civic data domains.
Pinpoint resources: Instead of searching by dataset name, use campinas_search_resources to hunt for specific files—like a single PDF report on spending—using its unique fields.
See it in action
Finding all public records on education
A researcher needs every dataset related to schooling. They ask their agent, which uses campinas_list_groups first to see the 'Education' category, then uses campinas_search_packages within that group to pull out specific datasets like 'Vagas em Creches'.
Verifying data source ownership
An analyst needs to know who published a dataset before using it. They use campinas_list_organizations to get a definitive list of all contributing entities, ensuring they cite the correct department.
Inspecting an unknown data schema
A developer finds a promising but opaque dataset name. Instead of downloading it and trying to parse it, they run campinas_get_package for full metadata, immediately seeing if the required fields exist.
The honest tradeoffs
Searching by general keywords
A user types 'transportation data' into a search bar and gets thousands of irrelevant results from every corner of the portal.
Instead, first use campinas_list_groups to confirm the correct thematic grouping. Then, run campinas_search_packages limited by that group for highly focused results.
Listing everything just in case
Running campinas_list_packages returns a massive list of hundreds of names, forcing the user to read every entry and manually check which ones are relevant.
Focus your query. Use campinas_search_packages, directing the search with specific criteria like 'finance' or a package name prefix.
When It Fits, When It Doesn't
Use this MCP if your goal is pure data discovery: figuring out what data exists, who owns it, and how structured it is. If you need to run an actual query (e.g., 'What was the average wage in Q2 2023?'), you’ll need a specialized database connection tool, not this discovery layer. Don't use this if your data changes minute-by-minute; it’s designed for stable civic records and metadata inspection. However, if you need to find the right dataset before writing code, start here. Use campinas_list_organizations to map ownership first.
Questions you might have
How do I find all groups in Campinas data using campinas_list_groups? +
Run campinas_list_groups. This tool provides the top-level thematic groupings (like 'Health' or 'Education'). It’s a quick way to map out every major domain of public records available.
What is the difference between campinas_search_packages and campinas_list_packages? +
Use campinas_list_packages for a raw, exhaustive list of all dataset names. Use campinas_search_packages when you know keywords and want to narrow that huge list down to only the relevant results.
Can campinas_get_resource tell me what format the data is in? +
Yes, campinas_get_resource provides metadata for individual files. It tells you if the resource is a CSV, PDF, or API endpoint, which dictates how your agent can access it.
Do I need to use campinas_list_organizations first? +
It’s helpful but not required. Using campinas_list_organizations gives you a map of contributors; if you know the organization name, you can skip it and go straight to searching data.
When I use `campinas_get_package`, what specific fields can I expect to see in the dataset's metadata? +
It provides a detailed data dictionary, including update cycles and available field types. This lets you confirm the underlying structure before retrieving any resources or running queries.
If I need to filter results by keywords within the actual files, how do I use `campinas_search_resources`? +
You must provide specific field names and exact values. This tool searches the data content itself, going deeper than just searching titles or descriptions.
After running `campinas_list_tags`, how do I best use those keywords to narrow my search? +
The list gives you available categorization terms. You pass these tags into the search function (like campinas_search_packages) to filter results quickly by a common theme.
What happens if `campinas_list_organizations` returns few or no entries? +
This usually means the data is restricted or requires special access. You should verify with the portal documentation or check if your API key needs specific permissions.
How can I search for datasets related to a specific topic like 'Health'? +
You can use the search_packages tool with a query string. For example, searching for 'saude' will return all datasets categorized under health in the Campinas portal.
Can I see which city departments are publishing data? +
Yes! Use the list_organizations tool to get a complete list of all city departments and entities that contribute to the Open Data Portal.
How do I get the download link for a specific data file? +
Use the get_resource tool with the specific Resource ID. It will return the metadata, including the URL to download the file (CSV, PDF, etc.).
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