"Artifact Hub" matching MCP servers:

A production-ready MCP server that provides comprehensive dbt project quality assessment for any GitHub repository, enabling AI agents to analyze dbt models, check metadata coverage, and map data lineage.

A production-ready MCP server suite for AI agent tool integration, providing five composable tool modules: code analysis, web scraping, file operations, API integration, and data transformation.

A Windows-optimized MCP suite with an interactive CLI hub for local stdio execution, enabling Excel, Word, workspace exploration, and TypeScript diagnostics, along with extensible user plugins.

This MCP server enables automated maintenance and code analysis for Python/pytest repositories in isolated Docker environments. It supports read-only investigations, fix-and-verify tasks, and provides full audit trails with SQLite event history and artifact exports.

Get your research artifact ready for Artifact Evaluation before the deadline: scan the repo, scaffold the easy fixes, verify the run path, and generate the appendix.

Self-hosted AI Agent Memory + Code Intelligence Platform providing persistent memory, AST-aware code search, and quality enforcement via a single MCP endpoint.

Enables AI agents and MCP clients to compute real-time, in-memory unified diffs between versions of live artifacts along with structured change telemetry. It runs as a deterministic, zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf for diff and change-tracking workflows.

Search and retrieve Google Apps Script libraries with AI-generated summaries and usage examples directly from MCP clients.

Provides a keyless, unified view of developer registries (npm, PyPI, Docker Hub, VS Code Marketplace) with tools for package search, details, versions, downloads, dependency graphs, vulnerabilities, and security insights via the DevStack API.

Analyzes repositories to extract engineering culture and conventions, generating executable skill scripts and rule documents for AI coding agents.

Enables offline-first industrial manufacturing workflows by parsing, linting, and drafting FANUC .LS robot programs and analyzing STEP/STP CAD files through MCP tools.

Axis Iliad turns messy codebases into 86 canonical, deterministic artifacts across 18 programs. From raw repos to production-ready AGENTS.md, compliance kits, canvas packs and agent-ready foundations — the authoring layer for the natural language development era.

Enables symbol-level codebase retrieval, providing definitions and usages of symbols to agents without reading whole files.

Maps a local Python repository into an AST-backed symbol graph and performs verified multi-file refactors, enabling scope-aware renaming, moving, and deletion of symbols with safety checks.

Enables scanning code and URLs for API deprecations, auditing websites for professional quality, and running resale value scans from photo URLs over MCP streamable HTTP.

This MCP server renders UI design artifacts headlessly, runs deterministic linters, and manages stateful design review loops with an independent vision critic.

Transforms codebases into a knowledge graph for AI agents, enabling semantic search, impact analysis, and persistent session memory with up to 94% token savings.

Real-time anti-cheat analysis system that monitors Discord servers for cheating code patterns using AI (GPT-4), automatically detects and analyzes suspicious code, and generates custom anti-cheat signatures with 24/7 monitoring capabilities.