Show HN: Knowerage – code coverage for LLM analysis
Knowerage is a tool designed for code coverage analysis in AI applications. It allows users to analyze and document code without needing to memorize tool names, providing insights into code coverage and gaps. The tool integrates with various MCP servers and offers functionalities for creating and updating analysis documents.
- ▪Knowerage requires Node.js 18 or newer and can be configured with MCP servers using specific JSON formats.
- ▪Users can analyze code by simply pointing to files or classes, and the tool generates markdown files for documentation.
- ▪The registry tracks analysis records and coverage, allowing users to query how much of the code has been analyzed.
Opening excerpt (first ~120 words) tap to expand
Knowerage — AI Analysis Coverage Management Links: GitHub · Glama MCP listing · npm @mtimma/knowerage Quick Start Requirements: Node.js 18 or newer — npx must be on your PATH (it comes with npm, which is included with Node). MCP server configuration Register Knowerage wherever your MCP host expects server definitions (for example some clients use .cursor/mcp.json or .vscode/mcp.json; others use environment variables or a UI—follow your host’s documentation). Use the same server entry shape: { "mcpServers": { "knowerage": { "command": "npx", "args": ["@mtimma/knowerage"], "env": { "KNOWERAGE_WORKSPACE_ROOT": "${workspaceFolder}", "KNOWERAGE_AUTO_FULL_RECONCILE": "true" } } } } Replace ${workspaceFolder} with your project root if your host does not expand that variable.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.