39 packages found
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 for interacting with CodeRabbit AI reviews on GitHub pull requests
Discover and compare open-source Agent Skills, tools & MCP servers — with quality scoring, trending analysis, and automa
Extended GitHub MCP Server with additional tools for pull request review comment functionality
The missing context layer for AI-assisted refactoring
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops
Code Guardian Studio – AI-powered code refactor engine for large repositories, built on Claude Code + MCP.
Repo-native content governance for AI agents. Extract, review, and deliver UI text, docs, and structured content from Gi
Archive-grade .mdc rule library for Cursor AI — 26 production-ready rules for teams seeking stable, reusable AI coding g
AI coding rules that actually work. Enforce instruction files via hooks — CLAUDE.md, .cursorrules, copilot-instructions,
PHP static analysis for architecture & maintainability — 60+ metrics, complexity analysis, dependency graphs, git churn
AGENTS.md rules / skills for AI coding agents: Codex, Cursor & Claude Code. Inspired by Clean Code, Refactoring, DDD, Cl
Lightning-native AI agent platform — pre-trade /review, pay-per-use reasoning, sandboxed execution, persistent memory, a
High-performance MCP server, code graph engine & evolutionary algorithm platform in Zig. 33 tools: GitHub project manage
MCP server for searching 600,000+ CS/AI research papers with citation graphs, full text, embeddings, and BibTeX. Works w
Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and archite
MCP server for AI-to-AI collaboration — bridge Claude with Gemini, Codex, and other LLMs for code review, second opinion
Debugging-first MCP server for n8n. Tools for workflow generation, linting, per-node execution diagnosis, and driving li
Native macOS markdown preview + MCP server for Claude Code. Swift/SwiftUI, GFM, Mermaid, syntax highlighting. No Electro
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Data freshness verification for AI agents. Probes endpoints for cache staleness, latency, TLS health, and content change
MCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactor
The ultimate Web3 Growth & Research MCP Server. Equip your AI agent with data to run wallet forensics for traders and DA
Review-gated MCP sidecar for Markdown notes and incoming artifacts
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
ai-rules is a governance framework designed to solve "Architectural Decay" in AI-driven development. It forces AI Agents
It's a plugin extension in Zotero. Zotero MCP Plugin enables integration between AI assistants and Zotero through MCP.
Search, preview, and analyze datasets from 20+ platforms via a single MCP connector. Works with Claude instantly.
An agentic law firm. Yours. 67 specialist AI agents that review documents through evidence-backed debate, with mandatory
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work.
MCP server for Social Intel — Instagram influencer search via x402 micropayments. Pay-per-call, no API keys.
Translation quality evaluation MCP Server powered by xCOMET (eXplainable COMET).
An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality
MCP prompt template server: hot-reload, thinking frameworks, quality gates
MCP Server to previewing mermaid diagrams with live reload
Vizro is a low-code toolkit for building high-quality data visualization apps.
Scientific paper search API for AI agents: REST, Python, OpenAPI, and MCP with structured full-text evidence.