Make your agents coverage-aware as they code for you
“Hey, I’m a coding agent. I just created flashy nifty feature… but oops, I downgraded the coverage 🤓. How could I know that?”
“Hey, I’m a testing agent. I was tasked to cover some code with testing, but how can I find which areas are not covered?😳”
Give your coding and testing agent eyes: MCP server that provides instant, reliable, token-efficient test coverage data for any programming language (LCOV based)
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🚀 Just launched (November 2025) ! I spend great time these days on polishing this library. If you find this valuable, a ⭐ star helps signal to other developers that this project is worth their attention
When AI coding agents work on your code without proper coverage tooling, they face three critical issues:
- Coverage Blindness - They can't see if their changes improved or regressed test coverage
- Token Waste - They burn thousands of tokens trying to parse massive LCOV files (some exceed 10 MB)
- Unreliable Scripts - They improvise custom parsing scripts that often fail or produce incorrect results
This MCP server solves all three problems by providing:
- Coverage Awareness - Agents can check coverage anytime with a simple tool call
- Token Efficiency - Get coverage summaries in <100 tokens instead of thousands
- Accuracy - Production-grade LCOV parsing that handles all format variations
- Baseline Tracking - Measure coverage progress within a session without keeping state in memory
Test Coverage: This project maintains 95% test coverage and we're targeting 100% soon.
Ask for overall project coverage or coverage for specific files:
// Get overall project coverage
coverage_summary({ lcovPath: "./coverage/lcov.info" });
// Returns: { linesCoveragePercentage: 87.5, branchesCoveragePercentage: 82.1 }
// Get coverage for specific files
coverage_file_summary({
lcovPath: "./coverage/lcov.info",
filePath: "src/utils/parser.ts",
});
// Returns: { path: "src/utils/parser.ts", linesCoveragePercentage: 92.0, branchesCoveragePercentage: 88.5 }Establish a baseline at session start, then measure your progress:
// At session start - record current coverage as baseline
start_recording({ lcovPath: "./coverage/lcov.info" });
// Returns: "Recording started"
// ... agent writes code and tests ...
// Check coverage impact
get_diff_since_start({ lcovPath: "./coverage/lcov.info" });
// Returns: { linesPercentageImpact: +2.3, branchesPercentageImpact: +1.8 }Why baseline tracking? Without it, agents would need to keep initial coverage in their stateful memory throughout the session, consuming valuable context window space.
npm install -g test-coverage-mcpAdd this MCP server to your AI coding tool's configuration:
macOS: Edit ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: Edit %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"test-coverage": {
"command": "npx",
"args": ["-y", "test-coverage-mcp"]
}
}
}After updating, restart Claude Desktop.
Create or edit .cursor/mcp.json in your project root:
{
"mcpServers": {
"test-coverage": {
"command": "npx",
"args": ["-y", "test-coverage-mcp"]
}
}
}Create or edit .vscode/mcp.json in your workspace:
{
"servers": {
"test-coverage": {
"command": "npx",
"args": ["-y", "test-coverage-mcp"]
}
}
}Requires VS Code 1.99+ or Visual Studio 17.14+. Enterprise users need "MCP servers in Copilot" policy enabled.
macOS: Edit ~/.codeium/windsurf/mcp_config.json
Windows: Edit %APPDATA%\Codeium\Windsurf\mcp_config.json
Linux: Edit ~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"test-coverage": {
"command": "npx",
"args": ["-y", "test-coverage-mcp"]
}
}
}Or use the GUI: Settings → Advanced Settings → Cascade → Add Server
Get overall project coverage from an LCOV file.
Input:
{
lcovPath?: string // Optional. Defaults to "./coverage/lcov.info"
}Output:
{
linesCoveragePercentage: number, // 0-100
branchesCoveragePercentage: number // 0-100
}Example:
coverage_summary({ lcovPath: "./coverage/lcov.info" });
// { linesCoveragePercentage: 87.5, branchesCoveragePercentage: 82.1 }Get coverage for a specific file.
Input:
{
lcovPath?: string, // Optional. Defaults to "./coverage/lcov.info"
filePath: string // Required. Path to the file
}Output:
{
path: string,
linesCoveragePercentage: number, // 0-100
branchesCoveragePercentage: number // 0-100
}Example:
coverage_file_summary({
lcovPath: "./coverage/lcov.info",
filePath: "src/utils/parser.ts",
});
// { path: "src/utils/parser.ts", linesCoveragePercentage: 92.0, branchesCoveragePercentage: 88.5 }Record current coverage as a baseline for later comparison.
Input:
{
lcovPath: string; // Required. Path to LCOV file to record
}Output:
"Recording started";Example:
start_recording({ lcovPath: "./coverage/lcov.info" });
// "Recording started"Compare current coverage against the recorded baseline.
Input:
{
lcovPath: string; // Required. Path to current LCOV file
}Output:
{
linesPercentageImpact: number, // Positive = improvement, negative = regression
branchesPercentageImpact: number // Positive = improvement, negative = regression
}Example:
get_diff_since_start({ lcovPath: "./coverage/lcov.info" });
// { linesPercentageImpact: +2.3, branchesPercentageImpact: +1.8 }Agent: "Let me check the current test coverage before I start working"
[Uses coverage_summary tool]
Agent: "Current coverage is 87.5% lines and 82.1% branches. I'll aim to maintain or improve this."
Agent: "I'll record the baseline coverage first"
[Uses start_recording tool]
Agent: "Now I'll add the new authentication feature with tests"
[Writes code and tests]
Agent: "Let me check the coverage impact"
[Uses get_diff_since_start tool]
Agent: "Great! Coverage increased by 2.3% for lines and 1.8% for branches."
Agent: "Let me check coverage for the file I just modified"
[Uses coverage_file_summary with filePath: "src/auth/validator.ts"]
Agent: "The validator.ts file now has 95% line coverage and 92% branch coverage."
This MCP server:
- Parses LCOV files using a production-grade parser that handles all LCOV format variations
- Calculates coverage percentages for overall project or individual files
- Stores baselines in a temporary directory for session-based tracking
- Returns compact JSON responses that consume minimal tokens
This server supports all standard LCOV file formats, including:
- Files with summary sections (
SF:,end_of_record) - Files with line-by-line data only (
DA:entries) - Files with branch coverage data (
BRDA:,BRF:,BRH:) - Mixed formats within the same file
- Ensure you've run your test suite with coverage enabled first
- Check that the path to your LCOV file is correct (relative paths are resolved from current working directory)
- Default path is
./coverage/lcov.info
- Verify the file path matches exactly as it appears in the LCOV file
- Some test frameworks use absolute paths, others use relative paths
- You must call
start_recordingbefore callingget_diff_since_start - Baselines are stored in temporary storage and cleared when the system restarts
# Install dependencies
npm install
# Build
npm run build
# Run tests (with coverage!)
npm test
# Run linter
npm run lint
# Test with MCP inspector
npm run inspectContributions are welcome! Please feel free to submit a Pull Request.
MIT © Yoni Goldberg
- coverage_file_summary returns nested properties also declared as flat
- Start recording overrides other sessions files
- Improve record naming - setSessionBaseline, getDiffSinceBaseline