# Test Coverage Analyzer MCP for AI Agents AI Agent Connect

> Test Coverage Analyzer uses Abstract Syntax Tree parsing to find hidden logic gaps in code. It identifies exactly which branches, loops, and conditional blocks are missed by your current test suites, ensuring that AI-generated code is actually validated by the tests you provide.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/ai-agent-connect
- **Tags:** testing, coverage, ast, llm-audit, code-analysis

## Description

Writing code with an AI agent is fast, but verifying that the code actually works under every condition is slow. You often end up with tests that pass easily because they only hit the happy path, leaving complex edge cases and nested logic completely untouched. This MCP changes that by looking at the actual structure of your code rather than just checking if a test runs. It breaks your source code down into its fundamental logical components to see which specific branches or loops are being ignored. Instead of guessing if your tests are sufficient, you can get a clear picture of where your logic is vulnerable. By connecting this to your workflow through the Vinkius catalog, your agent can stop blindly writing code and start verifying the structural integrity of every function it produces. You'll finally know if a test suite is actually hitting the intended targets or just skimming the surface of your logic.

## Tools

### analyze_code_coverage
Provides a complete overview of how well the provided test suite exercises the source code

### identify_uncovered_complex_logic
Specifically pinpoints high-risk areas where complex logic is completely unverified

### map_test_targets
Determines exactly which functions and classes are being targeted by the provided test suite

## Prompt Examples

**Prompt:** 
```
How much of this function's logic is actually covered by my tests?
```

**Response:** 
```
The current test suite covers **65%** of the logical nodes in `process_order`. 

**Uncovered Areas:**
* **Branch:** Line 42 (The `if user.is_premium` block is never triggered)
* **Loop:** Line 55 (The `for item in cart` loop only executes once)

**Risk Assessment:** High. The premium user logic is completely untested.
```

**Prompt:** 
```
Are these tests actually hitting the `calculate_tax` function?
```

**Response:** 
```
No, they are not. 

| Target Function | Test Status |
| :--- | :--- |
| `calculate_tax` | **Not Targeted** |
| `get_total` | Targeted |

Your current test suite is hitting `get_total`, but the logic inside `calculate_tax` remains unvalidated.
```

**Prompt:** 
```
Find the logic gaps in this complex function.
```

**Response:** 
```
I've analyzed the structure of `handle_request`. 

**Logic Gaps Found:**
* **Conditional Branch:** The `else` block at line 88 (handling `error_type == 'TIMEOUT'`) is never reached.
* **Nested Loop:** The inner loop at line 92 is skipped when `retry_count` is 0.

I recommend adding test cases that simulate a timeout to cover the missing branch.
```

## Capabilities

### Find untested logic branches
Locate specific conditional blocks and loops that your current tests never trigger.

### Measure structural coverage
Get a precise count of which logical nodes are exercised by your test suite.

### Verify test targeting
Confirm that your test suite is actually hitting the specific functions and structures you intended.

### Detect high-risk logic gaps
Identify complex functions that lack sufficient validation to prevent runtime errors.

## Use Cases

### Validating AI-generated PRs
An engineer uses the MCP to check if the code generated by an agent is actually covered by the suggested test suite.

### Auditing legacy test suites
A QA lead identifies massive gaps in an old codebase where tests only cover the most obvious paths.

### Refactoring complex functions
A developer uses structural analysis to ensure that refactoring a complex loop doesn't leave critical logic unvalidated.

### Strengthening CI/CD pipelines
A DevOps engineer uses coverage metrics to set stricter requirements for code that must pass structural validation.

## Benefits

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## How It Works

The bottom line is you get a structural map of exactly where your tests fail to reach your code's logic.

1. Provide your source code and test suite to your AI client.
2. The MCP parses both into Abstract Syntax Trees to map code structure against test execution.
3. You receive a detailed report of covered and uncovered logic nodes.

## Frequently Asked Questions

**How does Test Coverage Analyzer find untested code?**
It parses your source code and test suites into Abstract Syntax Trees. This allows it to see the actual logical structure, like branches and loops, rather than just counting lines of text.

**Can I use Test Coverage Analyzer to check AI-generated code?**
Yes. It is specifically useful for verifying that the code your AI agent produces is actually being exercised by the tests it also generates.

**What is the difference between this and standard line coverage?**
Standard coverage tells you if a line was run. This MCP tells you if the specific logical paths, such as specific branches or loops, were actually triggered.

**Will Test Coverage Analyzer work with my existing test suite?**
Yes. You provide your existing code and your existing tests, and it analyzes the relationship between them to find gaps.

**How can Test Coverage Analyzer help prevent production bugs?**
By identifying untested conditional branches and complex logic paths, it helps you catch edge cases that standard testing might miss before they reach production.

**How does the tool calculate coverage?**
The tool uses deterministic AST traversal to map the execution paths of test cases against the set of all executable code nodes in the source code.

**What is Critical Path Risk?**
It is a metric that identifies high-risk areas where complex logic (deep nesting or multiple branches) has zero test coverage.

**Can I check if a specific function is covered?**
Yes, you can use the `validate_test_mapping` tool to verify if a specific target identifier is being exercised by the provided test suite.

**How is coverage calculated?**
Coverage is calculated by comparing the set of all executable nodes in the source AST against the set of nodes traversed during the test execution simulation.

**What is a critical path risk score?**
It is a metric representing the danger level of untested code, weighted by the logical complexity of the functions left uncovered.

**Can I use this with any programming language?**
The tool uses AST traversal, so its support depends on the specific language parsers implemented in the engine.