16 packages found
ai-rules is a governance framework designed to solve "Architectural Decay" in AI-driven development. It forces AI Agents
MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in d
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, qua
AI coding rules that actually work. Enforce instruction files via hooks — CLAUDE.md, .cursorrules, copilot-instructions,
Your coding agent is editing blind. agent-lsp gives it type-aware navigation, blast-radius analysis, and pre-verified ed
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops
Free, open-source SQL Server execution plan analyzer — cross-platform GUI + CLI with 30 analysis rules, missing index de
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality
Self-hosted AI technical workbench. Visual, persistent, multi-stream. Development, architecture, and operational analyti
MCP server for searching Fiverr gigs, sellers, and reviews
✈️ 24-tool MCP server for Claude Code: preflight checks for your prompts, cross-service context, session history search
Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content change
A Python MCP (Model Context Protocol) server that connects Claude Desktop to GitHub Pull Requests. It fetches PR diffs,
A Model Context Protocol (MCP) tool that automates code review and leaves comments directly on GitHub PRs, with support
MCP Server to previewing mermaid diagrams with live reload