"Generating Metrics" matching MCP servers:

An MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.

Enables AI coding assistants to analyze codebases locally before generating code, reducing duplication and enforcing architecture boundaries.

Enables testing, explaining, debugging, and generating regular expressions directly within editors like Claude Code, Cursor, and VS Code Copilot, without leaving the editor.

Provides AI coding agents with durable architecture memory for repositories by generating structured project maps of responsibilities, relationships, and risks.

Enables AI assistants to perform reverse engineering and debugging of Windows executables through x64dbg, with tools for loading executables, controlling execution, analyzing memory and security, and generating reports.

Enables agents and MCP clients to perform static analysis and code navigation on 1C (BSL) codebases, including diagnostics, callers/callees, definitions, references, complexity metrics, and reindexing.

Provides comprehensive code quality analysis with quantitative metrics, historical trends, and refactoring risk prediction for C#, Python, and TypeScript codebases.

Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.

An MCP server that provides tools for React and TypeScript development, including generating typed form components, explaining TypeScript compiler errors, and producing Shadcn UI installation commands.

A Model Context Protocol server that integrates with DeepSource to provide AI assistants with access to code quality metrics, issues, and analysis results.

MCP server providing codebase analysis tools for AI assistants, including line counts, function metrics, threshold checks, and code quality detection.

Provides AI assistants with tools to grade, generate, and validate UI components against the components.build specification. Supports searching documentation, checking compliance, and generating framework-agnostic accessible components.

A lightweight TypeScript MCP server that provides AI assistants with seamless access to SonarCloud data, enabling code quality metrics, issues, and project queries.

Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.

Enables analysis of Karate framework feature files, extracting dependencies and generating interactive dependency graphs.

MCP server enabling AI models to interact with Codescan's API for listing projects, retrieving metrics, and querying issues with advanced filtering.

A server that enhances AI assistants with the ability to update your JSON Resume by analyzing your coding projects, automatically extracting skills and generating professional descriptions.

Enables AI assistants and automation to inspect, compare, and manage FileMaker schema artifacts via MCP, including exploring objects, tracing references, generating diffs between versions, and automating schema tasks through jobs.

MCP server for retrieving Fict documentation, running compiler/ESLint/TypeScript diagnostics, and generating shareable Playground links.

Enables document-driven development by automatically detecting Markdown spec changes, generating implementation plans, and syncing code and tests through MCP tools.