Browse the directory

The official Codacy MCP server (@codacy/codacy-mcp) that gives AI assistants access to the Codacy API for code quality, security, and coverage — listing repository and pull-request issues, retrieving file coverage and duplication, searching security (SRM) findings, inspecting analysis tools and patterns, and running local analysis with the Codacy CLI.

Connect Claude to Teradata — list databases and tables, inspect DDL, run SQL queries, preview data, analyze column quality, and explore DBA diagnostics — with the official Teradata MCP server supporting optional ML tool expansion via the teradataml Python package.

Official SonarSource MCP server that connects Claude to SonarQube Server or SonarQube Cloud for code quality, security issues, hotspots, measures, quality gates, branches, pull requests, snippets, and system context.

Apache-2.0 GX Core Python library for data quality Expectations, validation definitions, checkpoints, Data Docs, metadata stores, and pipeline quality checks.

Open-source ML and LLM observability framework for evaluating, testing, and monitoring data quality, drift, model behavior, and AI application outputs.

AI testing platform for evaluating, scanning, and monitoring machine learning and LLM application quality.

Community slash command runbook for adding minimal automated tests around a changed module: inspect the git diff, mirror repository test conventions, and draft focused unit or integration tests using Anthropic develop-tests guidance.

Open-source evaluation framework for testing RAG systems, prompts, agents, workflows, and other LLM application behavior.

Open-source suite of development tools from Microsoft for building LLM applications end to end — create executable flows that link LLMs, prompts, Python, and tools, trace and debug them, evaluate quality against datasets in CI/CD, and deploy to a serving platform.

Addy Osmani's production-grade Agent Skills pack for AI coding agents, with lifecycle slash commands, engineering workflow skills, review personas, quality gates, and cross-agent setup guidance for Claude Code, Cursor, Gemini CLI, Antigravity CLI, OpenCode, GitHub Copilot, and other agents.

AnomalyArmor armor-mcp stdio server with 52 consolidated data observability tools for alerts, freshness, schema drift, quality metrics, lineage, and AI recommendations.

Expert Claude Code context window audit capability pack for measuring what loads at session start, what each read and extension adds, when compaction drops path-scoped rules, and how to delegate or compact before quality drops.

Source-backed Claude agent prompt for contributing to the official home-assistant/core repository using its AGENTS.md guidance for PR templates, setup, Python 3.14, integration tests, translations, snapshots, and quality checks.

Open-source evaluation and tracing framework for measuring AI agents, RAG systems, LLM apps, retrieval quality, feedback metrics, and trace-level regressions.

Source-backed agent for designing Inspect AI benchmark tasks, datasets, solver plans, scorer rubrics, model matrices, eval logs, and release-quality prompt evaluation decisions.

Copy-paste detection MCP server that scans a codebase and lets AI assistants check snippets, inspect duplication statistics, and review current-directory duplication through jscpd's detection engine.