CNPJ Validator MCP for AI. Verify Brazilian Business IDs Mathematically, Every Time.
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CNPJ Validator checks Brazilian business identification numbers (CNPJs) against mathematical algorithms and structural rules. It validates basic format, deconstructs complex IDs into root, branch, and check digits, and handles high-volume batch processing for data cleaning.
What your AI can do
Analyze cnpj structure
Deconstructs a CNPJ into its root, branch, check digits, and can infer the state of registration.
Batch validate cnpjs
Performs high-volume validation on an entire list of identifiers simultaneously for efficiency.
Validate cnpj format
Checks a single CNPJ string immediately using standard checksum algorithms to confirm basic mathematical validity.
Confirms if a CNPJ string passes standard checksum checks.
Breaks down a full CNPJ into its specific parts: the root, branch, and check digits.
Validates an entire list of identifiers in one high-volume operation.
Uses internal mapping rules to suggest the Brazilian state associated with the ID structure.
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CNPJ Validator: 3 Tools
These tools give you granular control over validating and dissecting Brazilian business identification numbers, from single checks to processing massive datasets.
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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 CNPJ Validator on VinkiusAnalyze Cnpj Structure
Deconstructs a CNPJ into its root, branch, check digits, and can infer the state of registration.
Batch Validate Cnpjs
Performs high-volume validation on an entire list of identifiers simultaneously for...
Validate Cnpj Format
Checks a single CNPJ string immediately using standard checksum algorithms to...
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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 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manually vetting business IDs is slow and error-prone.
Today, confirming a CNPJ number means checking it against outdated spreadsheets or relying on unreliable public APIs. You copy the ID into one tool to check its format, then you have to manually write down its root and branch components for reporting. If you work with lists of IDs, you're stuck running checks one by one, wasting hours.
With this MCP, your agent handles all that complexity automatically. It confirms the math first, breaks the number into readable parts, and processes entire spreadsheets in a single call. You get clean data instantly.
Get Full CNPJ Context with `analyze_cnpj_structure`
The biggest time sink is when you validate an ID, but then you have to run a second query just to figure out what the number means. You spend cycles copying the basic CNPJ into one place, and its components (root/branch) into another.
Now, `analyze_cnpj_structure` does it all in one go. It confirms validity *and* gives you the deconstructed parts—the root identifier, the branch, and even an inferred state—all from one action.
What your AI can actually do with this
You need to confirm that a CNPJ number is actually valid before you process it. This MCP provides specialized tools to verify Brazilian corporate identifiers using checksum algorithms and structural analysis. You can use your agent to perform precise validation without needing access to external federal databases. For instance, if you're building a data cleaning pipeline or an onboarding form, this tool confirms mathematically whether the number is real, breaks down its components (like finding the root identifier or inferring the state), and even processes large lists of identifiers at once.
All these powerful tools are managed through the Vinkius catalog, making it easy for your AI client to connect and start using them immediately.
019ee7e1-e0fe-70ed-aadc-f6a02201af84 Here's how it actually works
The bottom line is you get clean, mathematically verifiable Brazilian corporate IDs that your workflow can trust.
You feed your AI client a CNPJ number or a list of numbers.
The MCP first uses checksum algorithms to confirm the basic mathematical integrity and format of the identifier.
It then returns a detailed report showing structural components, validation status (valid/invalid), and batch results.
Who is this actually for?
Data engineers building data pipelines for Latin American markets. Compliance officers needing to automate initial record vetting before submission. Fintech developers requiring accurate KYC/onboarding checks.
Uses this tool when a new client record comes in, needing immediate confirmation that the provided CNPJ number is structurally sound for compliance reporting.
Runs large lists of identifiers against the service to clean up datasets before they are loaded into a primary database or used for analytics.
Integrates this MCP into an onboarding flow, ensuring that every business ID passed through the system is mathematically correct and broken down for further processing.
What Changes When You Connect
Confirms data integrity instantly. Instead of guessing if a number is valid, running it through the validate_cnpj_format tool gives you immediate confirmation that the CNPJ passes checksum algorithms.
Saves time on massive datasets. When you have thousands of IDs, use batch_validate_cnpjs. It processes huge lists in one go, making data cleanup faster than manual checks.
Provides deep context beyond just validity. The analyze_cnpj_structure tool doesn't just say if it's valid; it breaks the ID into its root and branch components—critical for reporting.
Reduces compliance risk. By confirming the structure, you build confidence in your data pipeline that the identifiers are correctly formatted before they hit a financial system.
Offers regional insight. The tool can use internal mapping to suggest the Brazilian state based on how the CNPJ is structured, adding valuable context.
See it in action
Cleaning up an imported customer database
A data analyst has downloaded a spreadsheet of 5,000 client IDs. Instead of manually checking them one by one, they run the list through batch_validate_cnpjs. The agent returns a clean manifest showing exactly which records are mathematically valid and which need manual correction.
Validating an onboarding form submission
A user submits a new business profile. Before accepting the data, your agent calls validate_cnpj_format. If it returns 'invalid,' the system immediately flags the field and tells the user to correct the number before proceeding.
Deconstructing an existing ID for reporting
You need to report on which regional branch a client belongs to. You feed the CNPJ into analyze_cnpj_structure. The tool breaks it down, giving you the specific root and branch identifiers needed for your executive summary.
Verifying data before migration
A developer is migrating old client records. They run a sample set through all three tools: first using validate_cnpj_format to filter errors, then running the clean list through analyze_cnpj_structure to ensure all components are available for the new system schema.
The honest tradeoffs
Using simple regex matching
Trying to confirm a CNPJ only by checking if it has 14 digits and correct punctuation. This approach misses mathematical errors.
Don't rely on length alone. Always use validate_cnpj_format. This tool runs the checksum algorithm, which is the only way to guarantee mathematical correctness.
Checking validity then forgetting structure
Knowing a CNPJ works but having no idea what its parts mean (root vs. branch). You can't report on components.
After validation, run analyze_cnpj_structure. This separates the ID into useful pieces, allowing you to build reports based on specific identifiers.
Processing IDs one by one
Calling a single-validation tool repeatedly for 10,000 records. This is slow and inefficient.
When dealing with lists, always use batch_validate_cnpjs. It's optimized for high volume and gives you the results faster.
When It Fits, When It Doesn't
Use this MCP if your primary need is to confirm the structural and mathematical integrity of CNPJ numbers. This is essential when cleaning data, building onboarding forms, or generating reports that rely on accurate ID components (like root/branch).
Don't use it if you need real-time compliance status. If you must know if a business is currently 'active,' 'suspended,' or legally compliant today, this MCP won't tell you—you'll need to connect to a live government registry API instead. This tool only validates the format and structure, never the operational status.
Questions you might have
Does this tool require an internet connection to the Brazilian Federal Revenue? +
No. The validate_cnpj_format and other tools use a local checksum algorithm (weighted summation) to verify the mathematical validity of the CNPJ without making external API calls to federal databases.
Can I validate multiple CNPJs at once? +
Yes, you can use the batch_validate_cnpjs tool to process an array of CNPJ strings in a single operation and receive summary statistics.
What information is returned when analyzing a CNPJ? +
By using analyze_cnpj_structure, you will receive the root identifier, branch identifier, check digits, and the inferred Brazilian state (UF) based on regional mapping rules.
Does the CNPJ Validator use live data from Brazilian government databases? +
No. This MCP validates numbers using internal checksum algorithms and structural rules only. It doesn't require real-time connections to external federal databases, ensuring reliability even if those systems are temporarily unavailable.
If I use `validate_cnpj_format`, what happens when the input is clearly malformed? +
The tool returns a specific error message detailing the failure. It won't just fail silently; it reports exactly why the number failed, such as an incorrect checksum or wrong character length.
Does `batch_validate_cnpjs` have usage limits or rate caps? +
Usage is managed through your Vinkius subscription tier. While designed for high throughput, consult the platform documentation if you anticipate enterprise-level volume above standard rates.
How does the CNPJ Validator handle data security and privacy? +
Data processing stays within the secure MCP framework. The tool never transmits sensitive business identifiers to external third parties, keeping your inputs private throughout validation.
What is needed to connect my AI agent to this CNPJ Validator MCP? +
You just need an active subscription on Vinkius and compatibility with any MCP-compatible client (like Claude or Cursor). No complex API keys or local server setup is required.
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