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Coverage Gate Evaluator MCP, Ready to Go

Use Claude or Cursor with the Coverage Gate Evaluator MCP to enforce strict and precise code coverage thresholds within your automated CI/CD pipeline.

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Enforce precise code coverage thresholds in your CI/CD pipeline.

Coverage Gate Evaluator MCP for AI Agents.

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Coverage Gate Evaluator MCP Server?

635ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 5 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 504ms
Average 635ms
Max 970ms
Trend (improving) ↓ 31%
Daily latency
710ms 7/19/2026
970ms 7/20/2026
669ms 7/21/2026
567ms 7/22/2026
504ms 7/23/2026
7/19/2026 7/23/2026

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AI Agent

What AI agents can do with 3 Tools in Coverage Gate Evaluator for QA Automation

Use these tools to parse rules, evaluate reports, and calculate coverage shortfalls.

Calculate threshold shortfall

Tells you exactly what percentage of coverage is still missing to hit your target. It's great for planning your next testing sprint.

Evaluate coverage report

Compares your current test results against a list of rules. Use this to decide if a build should pass or fail.

Parse coverage rule

Breaks down a text-based rule into its metric and threshold components. It makes it easy for your agent to understand complex requirements.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,800+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Coverage Gate Evaluator for QA automation failures

The QA engineer who's tired of manually checking if a PR hit 80% coverage, and the DevOps lead trying to automate strict quality gates in a CI/CD pipeline.

QA Engineer

Verifies that new code changes don't drop the project below established testing standards.

DevOps Engineer

Sets up automated gates in the build pipeline to block substandard code from merging.

Software Architect

Defines and enforces organization-wide testing requirements across multiple repositories.

Frequently Asked Questions

How does Coverage Gate Evaluator handle coverage math? +

It uses deterministic integer arithmetic. This prevents the rounding errors that often cause floating-point numbers to fail threshold checks.

Can I use Coverage Gate Evaluator to check branch coverage? +

Yes, you can evaluate any coverage metric, including line and branch coverage, against your defined rules.

Does Coverage Gate Evaluator work with Claude or Cursor? +

Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

How do I know if my build passed using Coverage Gate Evaluator? +

Your agent will evaluate the report against your rules and provide a clear pass or fail result based on the math.

What happens if my rule is formatted incorrectly? +

You should use parse_coverage_rule first to ensure the string is correctly broken down into its parts before evaluation.

How does the server calculate coverage percentages? +

The server uses deterministic integer math. It calculates the percentage by determining how many times the total number of units fits into the covered count, scaled to a base of one hundred.

Can I use this with my existing CI/CD pipeline? +

Yes. You can integrate the evaluate_report_tool into your CI/CD workflows to automatically fail builds if coverage falls below your specified thresholds.

What happens if the total number of units is zero? +

If the sum of covered and missed units is zero, the tool will return an error to prevent division by zero errors during calculation.

Your AI, connected to everything.

No credit card required · Free tier available

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