Test Coverage Analyzer Connector for AI agents.
3 live capabilities
Find structural logic gaps in your code coverage
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Why people use Test Coverage Analyzer
Stop missing edge cases with Test Coverage Analyzer logic analysis
This MCP moves past simple line counting. It uses AST parsing to look at the actual structure of your code. Instead of a generic percentage, you get a map of the logic itself, showing you exactly which branches are dark. You stop guessing and start seeing the real gaps in your validation.
What Vinkius changes
You get a structural map of exactly where your tests fail to reach your code's logic.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
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.
- Real-world use case 02
Auditing legacy test suites
A QA lead identifies massive gaps in an old codebase where tests only cover the most obvious paths.
- Real-world use case 03
Refactoring complex functions
A developer uses structural analysis to ensure that refactoring a complex loop doesn't leave critical logic unvalidated.
Complete set · 3capabilities
The complete Test Coverage Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with Test Coverage Analyzer.
01—03
3 capabilities in this set.
Part of 3 available through Test Coverage Analyzer.
- 01 Capability
Analyze code coverage
Provides a complete overview of how well the provided test suite exercises the source code
- 02 Capability
Identify uncovered complex logic
Specifically pinpoints high-risk areas where complex logic is completely unverified
- 03 Capability
Map test targets
Determines exactly which functions and classes are being targeted by the provided test suite
Set up in minutes
One URL. Then ask Test Coverage Analyzer to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Test Coverage Analyzer 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_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Test Coverage Analyzer for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer URL.
- Step 03
Save and start
Save the connection and enable Test Coverage Analyzer in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"test-coverage-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer
Open Agent mode in chat and ask: "Using Test Coverage Analyzer, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"test-coverage-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer
Ask Copilot: "Using Test Coverage Analyzer, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"test-coverage-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer
Open Cascade and ask: "Using Test Coverage Analyzer, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"test-coverage-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer
Ask Cline: "Using Test Coverage Analyzer, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add test-coverage-analyzer --transport http "https://edge.vinkius.com/vk_preview_fkd1YUqjyJjHLruMhXAcb9DbVZGQ1OX4lJgSxmrn/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 Test Coverage Analyzer
Ask Claude: "Using Test Coverage Analyzer, show me...". 3 tools are ready
Where the request belongs
Work Test Coverage Analyzer can move forward.
Software engineers and QA automation specialists who rely on AI to generate code but need to ensure that code is production-ready and fully validated.
Software Engineer
Verifying that AI-generated pull requests don't contain untested edge cases.
QA Automation Engineer
Auditing existing test suites to find structural gaps in complex business logic.
DevOps Engineer
Ensuring code quality standards are met before automated deployment pipelines trigger.
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Bring your own AI
Change the model, client or framework. Keep Test Coverage Analyzer 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 Test Coverage Analyzer.
The practical details behind the request, access and result.
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 capability calculate coverage?
The capability 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 capability 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 capability uses AST traversal, so its support depends on the specific language parsers implemented in the engine.
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