IP & CIDR Validator MCP for AI. Mandatory binary math for firewall rules.
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The IP & CIDR Validator instantly handles binary math for network addresses. It validates both IPv4 and IPv6 formats and mathematically checks if a given IP falls within a specified CIDR subnet range.
This is mandatory for any AI agent dealing with firewall rules or access control lists.
What your AI can do
Validate ip
Checks if an IP string is valid and performs binary subnet math to see if it matches a specified CIDR range. This works for both IPv4 and IPv6.
Confirms whether an input string is a valid IPv4 or IPv6 address.
Determines the network address, broadcast range, and host limits for a given CIDR block.
Compares an individual IP against a subnet to confirm if it falls within the allocated range.
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IP & CIDR Validator: 1 Tool
This single tool lets your agent validate IP formats and mathematically confirm if an address falls within a specific, defined network subnet.
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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 IP & CIDR Validator on VinkiusValidate Ip
Checks if an IP string is valid and performs binary subnet math to see if it matches a specified CIDR range. This works for both IPv4 and...
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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 1 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Checking IP ranges used to be a mess of custom scripts and regex patterns.
Before this MCP, validating network addresses was tedious. Engineers had to write bespoke code for every combination—IPv4, IPv6, subnet masks, broadcast calculations. If you needed to check if an IP fell into a range, the agent would run through multiple passes of complex logic or use limited regex patterns that often failed on edge cases.
Now, passing the data to this MCP makes it simple. You provide the two strings—the target IP and the CIDR block—and you get back an undeniable answer based on strict binary math. It's a single call that replaces hours of fragile, custom networking code.
validate_ip Gives Your Agent Deterministic Network Boundaries
The biggest loss was the inconsistency. Manual checks or poorly written scripts often failed on reserved IPs, malformed subnet boundaries, or complex IPv6 formats. You were always one edge case away from a false negative or a security blind spot.
With `validate_ip`, every check is deterministic. It guarantees that your agent's decision—whether to allow traffic or block it—is based on mathematically proven data. Period.
What your AI can actually do with this
Your cybersecurity agents need more than natural language understanding; they need deterministic math. When an agent processes firewall logs or configuration files, it can't afford to guess if an IP address belongs in the allowed subnet. This MCP solves that problem entirely by running precise binary arithmetic on your behalf.
It handles both IPv4 and IPv6 calculations, confirming network boundaries down to the bit level.
Instead of risking security gaps because your AI client guesses a range match, you feed this data through our Validator. The tool processes the IP string against the CIDR block and returns an undeniable true or false result for the subnet match. Connecting it via Vinkius lets any compatible agent run these complex network checks as part of its standard workflow.
It ensures that every allow/block decision your system makes is based on strict, verifiable networking rules.
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Here's how it actually works
The bottom line is you get deterministic networking logic that doesn’t require complex custom code.
Pass the target IP address or CIDR notation string into this MCP.
The tool executes binary arithmetic, calculating the mathematical relationship between the two network strings.
Your AI client receives a structured output confirming the validation status (e.g., 'Match: True' or 'Invalid: False').
Who is this actually for?
Network Security Engineers, SOC Analysts, and DevOps professionals who deal with firewall rule validation or log parsing. If your job requires knowing if an IP address is technically allowed in a subnet, you need this.
Validates incoming threat intelligence data to quickly determine if reported malicious IPs fall within any authorized company subnets.
Checks new subnet allocations before deploying them to a firewall rule set, ensuring the address space is mathematically sound.
Integrates IP validation into CI/CD pipelines, making sure that containers or services are only configured with IPs matching defined network boundaries.
What Changes When You Connect
Stops false positives. Instead of relying on LLMs to 'guess' if an IP is in a range, the validate_ip tool gives you a definitive mathematical answer.
Handles both IPv4 and IPv6 natively. You don't need two separate tools or libraries; this MCP covers all current addressing schemes.
Reduces security risk at deployment time. Network teams can use this to verify that newly configured subnets are correctly defined before pushing rules live.
Deterministic output. The results you get back from validate_ip are based on strict RFC standards, making the outcome reliable for audit logging and compliance checks.
Saves development cycles. Your agent doesn't need complex IP address handling code; it just calls this MCP to get validated data.
See it in action
Analyzing Firewall Logs
A SOC Analyst is processing a batch of firewall logs and needs to know if the source IPs listed belong to an authorized corporate subnet. They ask their agent, which uses validate_ip, to check each IP against the allowed range (10.0.0.0/8), immediately flagging any external or unauthorized addresses.
Configuring New Services
A DevOps Engineer is setting up a new microservice and needs to ensure its assigned internal IPs fit within the allocated subnet block. Running validate_ip validates the IP against the CIDR, preventing service deployment with bad addressing.
Cross-Cloud Network Mapping
A Network Engineer is comparing network topologies across two different clouds. They use this MCP to programmatically confirm that every listed IP range on both sides adheres to the required subnet structure, catching discrepancies instantly.
Threat Hunting Investigations
An analyst receives a suspicious log containing many potential IPs. Using validate_ip, they can quickly filter out invalid or malformed addresses and focus only on those that are mathematically valid within known network segments.
The honest tradeoffs
Relying on LLM Context
Asking the agent, 'Is 192.168.1.150 in the 192.168.1.0/24 subnet?' and trusting the text answer.
Use the validate_ip tool. Pass both the IP and CIDR to the function. The MCP executes the required binary math, giving you a reliable boolean result instead of an educated guess.
Manual Regex Validation
Using simple regex to check if an IP string looks like it belongs in a subnet.
Regex only checks format. To check actual network inclusion, you must use validate_ip. This MCP performs the deep mathematical calculation required for accurate subnet checking.
Hardcoding Network Logic
Writing complex Python functions to handle IPv6 addressing and CIDR math every time a new project starts.
Call validate_ip. This MCP abstracts away the complexity of binary arithmetic, letting your agent focus on workflow logic instead of networking theory.
When It Fits, When It Doesn't
Use this MCP if network address validation is an absolute requirement. If your process involves checking if a specific IP falls within a mathematically defined subnet range (IPv4 or IPv6), you must use validate_ip. This is non-negotiable for security and compliance tools.
Don't use it if all you need is to format an IP address, or if you only need basic syntax checking. For those cases, simpler validators might suffice. But if you are dealing with actual firewall rules, network logs, or subnet allocations, this MCP provides the necessary deterministic math layer that no general-purpose AI client can provide on its own.
Questions you might have
How do I use the validate_ip tool with IPv6 addresses? +
The validate_ip function handles both IPv4 and IPv6 seamlessly. Just pass the full IPv6 address and its CIDR block as strings; the MCP manages the underlying binary math for you.
Is validate_ip only for checking if an IP is valid, or can it check subnets? +
It does both. It first validates the format of the input string and then performs the advanced subnet calculation to determine containment within a specified CIDR block.
Can I use validate_ip in my CI/CD pipeline for network checks? +
Yes. Since it returns deterministic boolean results, you can easily integrate validate_ip into automated pipelines to fail the build if any defined IP range is invalid or improperly configured.
Does validate_ip handle reserved IPs correctly? +
The tool adheres to established networking standards. It performs accurate mathematical checks for reserved, private, and public ranges as defined by RFC guidelines.
What is the setup process for using the validate_ip tool with my AI client? +
Setup is straightforward; you just connect your MCP-compatible agent through Vinkius. Because this functionality runs locally within the agent environment, no external credentials or keys are required to use validate_ip.
If I run validate_ip with a malformed IP string or CIDR block, how does it report the error? +
It provides clear failure feedback. The result explicitly tells your agent why the input failed validation—whether it's syntax, format, or mathematical impossibility.
Is validate_ip optimized for checking many IPs and subnets in a single batch process? +
Yes, it handles bulk input efficiently. You can pass lists of addresses to validate them against multiple subnet rules simultaneously, making it ideal for log analysis.
When using the validate_ip tool, does it accurately distinguish between public and private IP address ranges? +
Yes, absolutely. It recognizes both types of addressing schemes. This distinction is critical because your agent needs to treat private subnet rules differently than those for publicly routed IPs.
Does it support IPv6? +
Yes, it fully supports parsing and subnet matching for both IPv4 and IPv6 standard formats.
What happens if I pass an invalid IP? +
The engine will safely catch the error and return a validation failure, preventing the agent from proceeding with bad data.
Does it connect to the network to ping the IP? +
No. All checks are mathematical format and binary range checks performed entirely local.
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