CPF/CNPJ Batch Processor MCP for AI. Process messy Brazilian IDs into clean, verified data.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
CPF/CNPJ Batch Processor handles large lists of Brazilian identification numbers. It validates if records are real or duplicates and formats raw data so it looks right for humans, while also stripping all punctuation into pure digits for database entry.
What your AI can do
Clean batch
This tool strips away dots, dashes, and any non-numeric characters from a group of identifiers.
Format batch
This tool adds standard formatting (dots/dashes) to make the batch of CPF or CNPJ numbers readable.
Validate batch
This tool checks a list of identifiers against official rules, telling you if they are valid and detecting duplicates.
It verifies a group of CPF or CNPJ numbers to confirm if they are officially real or if duplicates exist.
It applies standard masking (dots and dashes) to raw ID numbers, making them easy for people to read.
It removes all punctuation, dots, and dashes from a batch of identifiers, leaving only pure digits for systems.
Ask an AI about this
Waiting for input…
CPF/CNPJ Batch Processor with 3 Tools
Use these three utilities to validate, format, or scrub large batches of Brazilian CPF and CNPJ identifiers.
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 CPF/CNPJ Batch Processor on VinkiusClean Batch
This tool strips away dots, dashes, and any non-numeric characters from a group of identifiers.
Format Batch
This tool adds standard formatting (dots/dashes) to make the batch of CPF or CNPJ...
Validate Batch
This tool checks a list of identifiers against official rules, telling you if they...
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 CPF/CNPJ Batch Processor 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.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with CPF/CNPJ Batch Processor, 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
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CPF/CNPJ Batch Processor. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Dealing with messy ID lists every single day?
Right now, you probably download a spreadsheet or export data from an old system. Those columns are a mess: dots in some places, dashes in others, and sometimes they're just raw digits with no separators at all. You end up spending hours manually cleaning them up, using find-and-replace across dozens of tabs.
With this MCP, the whole process is automated. You upload the batch once. The system automatically strips away every non-numeric character, leaving you with a clean list ready for any database field. It's instant data hygiene.
The Power of `validate_batch`
Manually checking validity is impossible at scale. You can copy and paste a few dozen numbers into an online checker, but that doesn't help when you have thousands of records to process for compliance.
Now, the `validate_batch` tool does the heavy lifting. It checks every single identifier in your list against official rules, telling you instantly which IDs are junk or duplicated. You get verifiable data every time.
What your AI can actually do with this
Working with Brazilian client data means dealing with messy identifiers. You've got lists where some IDs are clean, some have dots, some are just a jumble of numbers—and sometimes they're duplicates. This MCP lets you process entire batches through three necessary steps automatically. First, it strips away all punctuation and non-digit characters, giving you raw data ready for a database field.
Next, if you need to show the IDs to a person, it applies standard formatting masks (like dots and dashes). Finally, it verifies everything in the batch against official rules, telling you exactly which numbers are valid or if there's a duplicate. You don't have to copy, paste, and manually scrub hundreds of records; just feed the list into your agent via Vinkius, and it handles all the cleanup.
019ee7e2-4009-73b6-a825-d3eb702f32ef 
Here's how it actually works
The bottom line is: you start with messy data, run it through structured processing steps, and finish with clean, verifiable results.
Give the MCP your raw list of Brazilian IDs. The system first runs this through the cleaning stage to strip away all dots and dashes.
Next, you can send that cleaned data through the formatting tool. This step applies standard masks so the numbers look correct for a user interface.
Finally, the output is passed to the validation checker. You get back a report detailing which IDs are valid and if any duplicates were found.
Who is this actually for?
This MCP is for anyone dealing with bulk data migration or compliance in the Brazilian market. If your job involves taking lists of identifiers from different sources and getting them into a single, scrubbed database column, this is for you.
You use it to prep messy client data before running large reporting queries.
You build pipelines that ingest identifiers from multiple, inconsistently formatted sources into a single schema.
You run periodic checks to ensure all stored client IDs are still officially valid and haven't been duplicated in the system.
What Changes When You Connect
Stop manual scrubbing. By using clean_batch, you strip away all non-numeric characters from entire lists in one go, preparing the identifiers for database ingestion.
Keep your users happy with readable data. The format_batch tool automatically applies standard dot and dash masks, so staff don't have to guess where a number goes.
Avoid compliance headaches. Running validate_batch confirms that every ID in your batch is officially valid, saving you from bad client records.
Speed up migration. You can process thousands of IDs at once, making data transfers simple and fast without writing complex scripts.
Consistency across the stack. It ensures whether an ID is being read by a human or written into a database, it always follows the correct structural rules.
See it in action
Migrating old client records
A company needs to move 10,000 archived customer files into a new system. The IDs are stored in varied formats—some have dots, some don't. Instead of writing complex regex code, your agent can process the whole list using clean_batch and then load the pure digits into the database.
Onboarding a new department
A branch office is getting new client lists from various departments. The IDs are inconsistent and some might be fake. You feed the list to your agent, which runs validate_batch immediately, flagging every single bad ID so the team knows exactly what needs manual correction.
Creating a public-facing report
You need to show a client's IDs in a summary document for review. The data is currently pure digits. You run format_batch on the clean list, and the output looks exactly like how it should be printed.
Auditing internal records
You suspect that over time, the same client ID might have been entered twice by different staff members. You run validate_batch on your entire database backup to check for duplicates and ensure data integrity.
The honest tradeoffs
Only validating raw IDs
Running validation tools on a list that still contains dots or letters. The tool might reject valid numbers just because of extra characters.
Always clean first. You must run clean_batch to strip out all non-numeric symbols before passing the result to validate_batch. That guarantees accurate results.
Assuming format is enough
Formatting a list of IDs without checking if they actually exist. You get a beautiful, readable list, but half of it is fake data.
Don't skip the final step. After you use format_batch to make the numbers look good, always run validate_batch last to confirm their real-world status.
When It Fits, When It Doesn't
Use this MCP if your core problem is data integrity for Brazilian IDs and the input is a batch. You need to scrub, format, or verify large quantities of CPF/CNPJ identifiers. Don't use it if you are only dealing with one single ID; in that case, simple client-side regex validation might be faster. If your problem is purely about converting data types (e.g., string to integer), this MCP won't help. You need the specific batch processing and Brazilian compliance tools available here.
Questions you might have
How do I clean a batch of CPF numbers using `clean_batch`? +
clean_batch strips all non-numeric characters from your list, leaving only the pure digits. This is what you use when loading data into a database that doesn't accept formatting.
Can I validate CNPJ numbers in bulk with `validate_batch`? +
Yes, validate_batch handles both CPF and CNPJ identifiers. You give it the list, and it returns a clear report on which are valid or if there are duplicates.
What is the difference between `clean_batch` and `format_batch`? +
clean_batch removes structure (it strips dots/dashes). format_batch adds structure back in (it puts dots/dashes) to make the data human-readable.
Do I need to run all three tools? +
Not always. If your source data is already clean and formatted, you might only need validate_batch. But for maximum safety, running them in sequence is best practice.
If I use `validate_batch` with identifiers that aren't CPF or CNPJ, what does it do? +
The function returns validation failures for those inputs. It strictly checks against known Brazilian ID formats and will flag any non-conforming numbers immediately.
Are there rate limits when running `clean_batch` on a very large dataset? +
Yes, high volume usage is subject to standard API rate controls. For massive datasets, we recommend breaking your input into smaller, manageable batches.
What specific mask does `format_batch` apply when formatting CPF numbers? +
It applies the standardized 123.456.789-01 format. This ensures that every single number you receive is instantly readable by a human.
How does `validate_batch` report if there are duplicate IDs in my list? +
The response object explicitly flags any identifier found more than once. You get immediate confirmation of duplicates right alongside the validation status.
We've already built the connector for CPF/CNPJ Batch Processor. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 3 tools are live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.