Agent Quality Gate Calculator Connector for AI agents.
3 live capabilities
Enforce deterministic quality gates for agentic workflows
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Why people use Agent Quality Gate Calculator
Stop manual testing with Agent Quality Gate Calculator
This MCP turns that manual slog into an automated gate. Instead of you looking at the output, the math does it. You set the rules, and the MCP decides if the output passes or fails. You get a clean, deterministic answer every single time, allowing your agentic workflows to run at scale without constant human supervision.
What Vinkius changes
You replace subjective human review with a repeatable mathematical gate.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,400+ Connectors
- Real-world use case 01
Automated code review gates
An agent generates Python code, and the MCP checks it against strict logic rules before it ever reaches a human reviewer.
- Real-world use case 02
Data extraction validation
When an agent pulls data from a PDF, the MCP ensures the JSON format and values are 100% accurate before saving to a database.
- Real-world use case 03
Monitoring agent drift
A team notices their summary agent is getting lazier over time and uses trend analysis to pinpoint the exact moment quality dropped.
Complete set · 3capabilities
The complete Agent Quality Gate Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Agent Quality Gate Calculator.
01—03
3 capabilities in this set.
Part of 3 available through Agent Quality Gate Calculator.
- 01 Capability
Analyze quality trends
Looks at your agent's history to find patterns of declining performance. It helps you spot when an agent is starting to fail more often.
- 02 Capability
Estimate rework impact
Calculates the business cost of errors. It turns your error rate into a concrete number of minutes or dollars lost to fixing mistakes.
- 03 Capability
Evaluate output quality
Runs a mathematical check on a single output against your chosen strategy. It tells you immediately if the result passes your quality gate.
Set up in minutes
One URL. Then ask Agent Quality Gate Calculator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Agent Quality Gate Calculator 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_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Agent Quality Gate Calculator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator URL.
- Step 03
Save and start
Save the connection and enable Agent Quality Gate Calculator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-quality-gate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator
Open Agent mode in chat and ask: "Using Agent Quality Gate Calculator, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-quality-gate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator
Ask Copilot: "Using Agent Quality Gate Calculator, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-quality-gate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator
Open Cascade and ask: "Using Agent Quality Gate Calculator, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"agent-quality-gate-calculator": {
"url": "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator
Ask Cline: "Using Agent Quality Gate Calculator, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add agent-quality-gate-calculator --transport http "https://edge.vinkius.com/vk_preview_KAvTsHdYhycESnipmABKHLYXhspbKn2ZyDpnIIHk/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 Agent Quality Gate Calculator
Ask Claude: "Using Agent Quality Gate Calculator, show me...". 3 tools are ready
Where the request belongs
Work Agent Quality Gate Calculator can move forward.
This is for the engineers and product owners who are tired of 'vibes-based' testing and need to prove their agents are safe for production.
AI Engineer
Building automated evaluation pipelines to ensure agent outputs meet strict schema or logic requirements.
QA Engineer
Moving from manual prompt testing to automated, deterministic quality gates for agentic workflows.
Product Manager
Tracking the reliability and business impact of agent performance to justify scaling or changes.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Agent Error Recovery Rate Calculator
Analyzes execution logs to calculate capability call success ratios and agent recovery rates.
Bring your own AI
Change the model, client or framework. Keep Agent Quality Gate Calculator connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Agent Quality Gate Calculator.
The practical details behind the request, access and result.
How can I use Agent Quality Gate Calculator to automate my AI workflows?
You can set up automated gates that check every agent response against specific rules. If the response doesn't meet your mathematical threshold, the workflow can automatically reject it or trigger a human review.
Can Agent Quality Gate Calculator help me track agent performance over time?
Yes. It tracks the history of your agent's outputs so you can see if accuracy is improving or if the agent is starting to drift and make more mistakes.
How does Agent Quality Gate Calculator calculate the cost of mistakes?
It takes your error rate and the estimated time it takes to fix a single error to give you a concrete number of time or money lost to inaccuracies.
Is Agent Quality Gate Calculator compatible with different AI clients?
Yes, as long as your client is MCP-compatible, such as Claude, Cursor, or Windsurf, you can use this to evaluate outputs directly in your workflow.
What makes the evaluation in Agent Quality Gate Calculator deterministic?
Unlike an LLM that might give different answers to the same question, this MCP uses fixed mathematical formulas and rules to ensure the same input always results in the same quality score.
One connection away
Give your agent a direct line to Agent Quality Gate Calculator.
Connect Agent Quality Gate Calculator once. Keep it beside 6,400+ managed Connectors when the next task needs more.
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