Regex Optimizer and Validator Connector for AI agents.
3 live capabilities
Prevent catastrophic backtracking and validate regex syntax
Waiting for input…
Why people use Regex Optimizer and Validator
Stop ReDoS attacks with Regex Optimizer and Validator
This MCP changes that workflow. Instead of hoping for the best, you use your agent to proactively scan for the specific patterns that cause these hangs. You get a clear signal on whether a pattern is safe to deploy or if it needs a rewrite.
What Vinkius changes
You get a safety check for your regex patterns before they hit your production environment.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing ReDoS attacks
A developer is worried a new user-input pattern might be vulnerable to a Denial of Service attack.
- Real-world use case 02
Cleaning up messy patterns
An engineer has a massive, unreadable regex.
- Real-world use case 03
Validating log parsers
A DevOps engineer needs to ensure a new log parsing pattern won't slow down the ingestion pipeline during high traffic.
Complete set · 3capabilities
The complete Regex Optimizer and Validator capability set.
These are the exact actions your AI can choose when you ask it to work with Regex Optimizer and Validator.
01—03
3 capabilities in this set.
Part of 3 available through Regex Optimizer and Validator.
- 01 Capability
Analyze complexity
Scans your regex for catastrophic backtracking risks. It flags dangerous nested quantifiers that cause performance spikes.
- 02 Capability
Get regex metrics
Counts the structural components of your pattern. It tells you exactly how many capturing groups and character classes you are using.
- 03 Capability
Validate syntax
Checks if your regex string is syntactically correct. It catches typos and invalid characters before you run the code.
Set up in minutes
One URL. Then ask Regex Optimizer and Validator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Regex Optimizer and Validator from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Regex Optimizer and Validator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Regex Optimizer and Validator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Regex Optimizer and Validator URL.
- Step 03
Save and start
Save the connection and enable Regex Optimizer and Validator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"regex-optimizer-and-validator": {
"url": "https://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Regex Optimizer and Validator
Open Agent mode in chat and ask: "Using Regex Optimizer and Validator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"regex-optimizer-and-validator": {
"url": "https://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Regex Optimizer and Validator
Ask Copilot: "Using Regex Optimizer and Validator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"regex-optimizer-and-validator": {
"url": "https://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Regex Optimizer and Validator
Open Cascade and ask: "Using Regex Optimizer and Validator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"regex-optimizer-and-validator": {
"url": "https://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Regex Optimizer and Validator
Ask Cline: "Using Regex Optimizer and Validator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add regex-optimizer-and-validator --transport http "https://edge.vinkius.com/vk_preview_LXq3u6UxIKk2GqQr4lSWDN75BqNVILxc2KeG1TgX/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Regex Optimizer and Validator
Ask Claude: "Using Regex Optimizer and Validator, show me...". 3 tools are ready
Where the request belongs
Work Regex Optimizer can move forward.
This is for developers and data engineers who deal with complex string parsing and want to avoid performance bottlenecks.
Backend Engineer
Validating input sanitization patterns to prevent ReDoS attacks.
Data Engineer
Ensuring complex parsing logic for ETL pipelines doesn't stall on large datasets.
DevOps Engineer
Checking log parsing regex for efficiency and reliability.
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Bring your own AI
Change the model, client or framework. Keep Regex Optimizer connected.
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Before you connect
Questions about Regex Optimizer.
The practical details behind the request, access and result.
How can I use Regex Optimizer and Validator to prevent ReDoS?
You can use the complexity analysis feature to identify patterns with nested quantifiers. These are the primary cause of ReDoS attacks, and the capability flags them before you deploy.
Can I check regex syntax with Regex Optimizer and Validator?
Yes. You can send any regular expression string to your agent, and it will tell you if the syntax is correct or if there are errors in the pattern.
Does Regex Optimizer and Validator work with any AI client?
Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf. Once connected, your agent can perform these checks directly in your chat interface.
How does Regex Optimizer and Validator help with regex performance?
It provides structural metrics and complexity analysis. This helps you see if your patterns are becoming too heavy or complex, which can slow down your application's processing speed.
Is Regex Optimizer and Validator useful for data engineers?
Absolutely. Data engineers often use complex regex for parsing large datasets. This capability ensures those patterns are efficient and won't cause processing bottlenecks in your pipelines.
How can I check if my regex is valid?
You can use the validate_syntax capability to check if a regex pattern is syntactically correct.
What is catastrophic backtracking?
It is a performance issue where a regex engine explores an exponential number of paths. You can detect this using analyze_complexity.
Can I count capturing groups?
Yes, the get_regex_metrics capability provides the count of capturing groups and other structural components.
One connection away
Give your agent a direct line to Regex Optimizer.
Connect Regex Optimizer once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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