Checks AI-written code against your rules as it is written, and keeps a record of what it found.

Enables Cursor and Codex agents to audit Agent Skill structure (frontmatter, broken links, missing files), analyze dependencies for undeclared, unused or vulnerable packages via OSV, and run 28 local bug and code-quality rules with SonarQube-style A–E ratings. It can also optionally pull issues, metrics and quality-gate status from SonarQube or SonarCloud, or scan and upload results.

PM2.5 of 300+ cities: now, history, forecast, rankings; 12 000 sensors with a quality rating.

Open-source manufacturing ERP, MES and QMS. Quoting, MRP, inventory, shop floor, quality and lot/serial traceability on one Postgres schema, with a REST API and MCP server. Self-host or use Carbon Cloud.

Official SonarQube MCP Server for code quality and security in AI agents

Check entire lead, order and inventory CSV/JSONL against approved contracts before writes.

Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 commands, 246 MCP tools, change-safety gates, audit evidence, zero API keys.

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.

Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.

Model Context Protocol server for Open-Meteo weather APIs

MCP server giving AI assistants 17 weather tools with zero API keys: global forecasts, current conditions, alerts, air quality, marine conditions, lightning detection, radar imagery, river levels, wildfire tracking, and historical weather back to 1940. Bu

French address quality, geocoding, routing, company lookup & catchment stats (BAN, INSEE, OSM).

Ensemble testing for front-end web quality

Enables keyless translation between languages using machine translation and community translation memory, with automatic source-language detection, match-quality scores, and alternate candidate translations.

Web search with quality scores; web pages are read on your computer by the local server.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.

Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Enables AI assistants to operate Shopify stores through 61 risk-tiered tools for store operations, SEO and GEO audits, deterministic analytics, inventory intelligence, feed quality, and safe marketing workflows. It defaults to read-only access and uses previews, bound approvals, and audit logging for writes.

Enables AI clients to write and fix WGSL effect nodes, render and bake them into flipbook PNG texture sheets with quality warnings, and push the results into Roblox Studio as emitter textures with matching flipbook settings.

MCP server (stdio, TypeScript) for optimising the images in a project with verified quality. Tools: analyze_images (read-only dry run) and optimize_images (in place or to a folder). Source: mcp/ in this repository; npm: optiq-mcp; MCP Registry: io.github.Baukaalm/optiq-mcp.

An intelligent Model Context Protocol (MCP) Server that acts as an AI model advisor. Compare LLM and media pricing, features, and quality across 1,000+ models from OpenRouter, fal.ai, Together AI, Replicate, and Fireworks AI. Deeply compatible with Claude

Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.

Enables automated, reproducible first-order hydrodynamic analysis through parametric geometry, mesh and static-equilibrium quality gates, and asynchronous solver runs that return six-DOF RAO amplitudes and phases.

Structured multi-step workflows that produce production-quality deliverables. Plan any task free.