"Architecture for automating quality assurance with services" matching MCP servers:

Enables coding agents to perform read-only source investigation via a local SQLite index, offering status, search, backlog, context, impact, and drift tools for TypeScript, JavaScript, and Java codebases.

Enables a browser agent to inspect, rank, preview, evaluate, and validate transformer layer pruning proposals, while ensuring only a person can commit removals.

Hybrid code quality analysis server combining fast logic-based checks with AI-powered deep analysis, offering tools for summaries, quick wins, and trend tracking.

An agnostic MCP server that reads arc.yaml from the workspace, exposing tools to map layers, trace slices, generate scaffolding, and validate architectural rules.

An MCP server that provides 46 tools for construction quality management, enabling users to generate and review documents like ITP, NCR, and test reports using a domain ontology and legal standards.

Automates repository analysis, test planning, and generation of end-to-end tests with Playwright, acting as an intelligent quality assistant.

MCP server that exposes Avangenio's service status by fetching and parsing status.avangenio.com/data.txt into normalized JSON.

Enables AI assistants to retrieve a project's architecture overview and file structure, auto-detecting monolith or multiproject layouts and exposing module listings to reduce token consumption.

MCP Server for Git operations, agent templates, and project utilities.

MCP server that gives AI agents direct access to Google services including Gmail, Calendar, Drive, and more, with multi-account OAuth support. Enables reading and sending email, managing calendar events, and interacting with Google files through natural language.

Enables real-time China nationwide air quality monitoring via CNEMC, with AQI, pollutant concentrations and levels, quality ratings, city rankings, and station-level details.

Enables AI agents to search and retrieve Israel's social services data, including service details, taxonomy, and location-based queries.

Enables code agents to run risk-based Jev quality reviews on focused diffs through a read-only MCP tool, returning structured scores and weakness hints without modifying code.

Enables querying and retrieving US water-chemistry data, including station metadata, sample results, and controlled vocabularies from the Water Quality Portal.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

🚀 Kill the Junior AI Era. 🤖 Level up your AI code to Principal standards. No more sloppy lines or junior mistakes. Automated ESLint ✨ TypeScript 🔧 Prettier 🎨 SonarQube 🛡️ Security 🔒 Complexity 📊 in seconds. High-stakes quality, forced to ship only the best. ⚡🏆 Goodbye, bad code. Hello, Principal Engineer. 🚀✨

Pay-per-use AI security and research tools for autonomous agents on Base, enabling honeypot detection, risk assessment, wallet analysis, and yield optimization via the x402 protocol.

Enables querying live Sonoma County animal shelter intake and outcome records, including recent intakes, animal lookup by id/name/breed, and outcome summaries.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Provides MCP tools to query live Austin Animal Center intake and outcome records, including recent intakes, animal lookup by ID/name/breed, and outcome summaries by type, animal type, or month.