Business Logic Gatekeeper Connector for AI agents.
3 live capabilities
Enforce business logic invariants during code development
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Why people use Business Logic Gatekeeper
Prevent logical errors with Business Logic Gatekeeper invariants
With this MCP, you bridge that gap. You define the 'truth' of your business in a registry, and your agent uses it to audit your work. Instead of waiting for a production incident, you get immediate feedback that your code respects the core rules of your application.
What Vinkius changes
That it turns your business requirements into automated logical checks that your agent can run against every change.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Preventing negative account balances
A developer uses register_rule to set a constraint that user balances cannot drop below zero, and the agent catches a logic error in a new withdrawal function.
- Real-world use case 02
Securing API access patterns
An engineer uses check_compliance to ensure new routing changes don't accidentally expose sensitive endpoints to unauthorized users.
- Real-world use case 03
Validating financial transaction limits
A fintech dev registers a rule for maximum transaction amounts and uses the agent to verify that a new batch processing script stays within those limits.
Complete set · 3capabilities
The complete Business Logic Gatekeeper capability set.
These are the exact actions your AI can choose when you ask it to work with Business Logic Gatekeeper.
01—03
3 capabilities in this set.
Part of 3 available through Business Logic Gatekeeper.
- 01 Capability
Check compliance
Validates your recent file changes against your registered business rules. It catches logical errors that standard testing might miss.
- 02 Capability
Query rules
Fetches a filtered list of your existing business rules. Use this to see what constraints are currently active.
- 03 Capability
Register rule
Adds a new business rule or invariant to the registry. This defines the logic your agent will enforce.
Set up in minutes
One URL. Then ask Business Logic Gatekeeper to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Business Logic Gatekeeper 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_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Business Logic Gatekeeper for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper URL.
- Step 03
Save and start
Save the connection and enable Business Logic Gatekeeper in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"business-logic-gatekeeper": {
"url": "https://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper
Open Agent mode in chat and ask: "Using Business Logic Gatekeeper, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"business-logic-gatekeeper": {
"url": "https://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper
Ask Copilot: "Using Business Logic Gatekeeper, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"business-logic-gatekeeper": {
"url": "https://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper
Open Cascade and ask: "Using Business Logic Gatekeeper, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"business-logic-gatekeeper": {
"url": "https://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper
Ask Cline: "Using Business Logic Gatekeeper, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add business-logic-gatekeeper --transport http "https://edge.vinkius.com/vk_preview_OykB2vB5FvUo9SWJUU5escy9LnJfpn7ColoWx1qw/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 Business Logic Gatekeeper
Ask Claude: "Using Business Logic Gatekeeper, show me...". 3 tools are ready
Where the request belongs
Work Business Logic Gatekeeper can move forward.
This is for developers and engineers who manage complex systems where a single logical error in a financial or security module can be catastrophic.
Backend Engineer
Uses it to ensure new API endpoints or service logic don't break existing data integrity rules.
DevOps Engineer
Employs it to validate that infrastructure-as-code changes don't violate security invariants.
FinTech Developer
Relies on it to keep transaction logic and balance calculations strictly within defined bounds.
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Bring your own AI
Change the model, client or framework. Keep Business Logic Gatekeeper connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
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Vercel AI SDK
Before you connect
Questions about Business Logic Gatekeeper.
The practical details behind the request, access and result.
How does Business Logic Gatekeeper prevent production bugs?
It catches logical errors that standard tests miss by checking your code against specific business invariants, like financial limits or security constraints, before you merge.
Can I use Business Logic Gatekeeper with my existing testing suite?
Yes. Think of it as a specialized layer of defense that works alongside your unit tests to ensure your code follows business intent, not just syntax.
What makes Business Logic Gatekeeper different from a linter?
Linters check for code style and syntax. This MCP checks for business logic, ensuring your code doesn't violate the actual rules of your specific industry or application.
How do I add new rules to Business Logic Gatekeeper?
You can simply ask your agent to register a new rule, defining the logical constraint you want to enforce across your codebase.
Is Business Logic Gatekeeper compatible with Cursor and VS Code?
Yes, it works with any MCP-compatible client, including Cursor, VS Code, and Windsurf, allowing your agent to audit your code directly in your editor.
How does the gatekeeper validate code?
It uses the check_compliance capability to match file contents against registered validationRegex patterns defined in business rules.
Can I add custom business rules?
Yes, you can use the register_rule capability to add new invariants with specific severity levels and affected file paths.
What is a compliance score?
The compliance score is a value between 0 and 1 representing the ratio of satisfied rules to total applicable rules.
One connection away
Give your agent a direct line to Business Logic Gatekeeper.
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