A Powerful Search Server based on Cloudflare Worker, Enhance Your AI Tool with MCP

A Serper MCP Server

The fastest path to AI-powered full stack observability, even for lean teams.

The unified workspace where open-source models get things done for you.

Build autonomous AI agents in Python.

Claude Code skill plugins for financial services — 81 skills across 7 domain plugins covering investment management, compliance, advisory practice, trading, and operations.

Quickly reads webpages and converts to markdown for fast, token efficient web scraping

Anti-hallucination research mode for Claude Code. Toggle on/off to enforce citation requirements and source grounding.

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Portable Agent Skills for building and maintaining Open Knowledge Format project wikis in plain Markdown.

Writing is thinking! WIT provides skills for scientific thinking and writing!

Semantic Search & Call Graphs for AI Agents (100% Local)

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more

All-in-One Multimodal Parsing Engine + Ontology-Powered, LLM Wiki-Driven AI-Ready Knowledge Engine

A mechanism for discovering Agent Skills using the .well-known URI path prefix as specified in RFC 8615 for discovering Agent Skills.

Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.

Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

OpenZIM MCP is a modern, secure, and high-performance MCP (Model Context Protocol) server that enables AI models to access and search ZIM format knowledge bases offline.

LLM-maintained personal knowledge base for Obsidian. Based on Andrej Karpathy's LLM Wiki pattern.

100 field-tested Claude Code recipes for knowledge workers — prompts, steps, and 6 installable graded skills.

A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.

Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.