A Model Context Protocol (MCP) server for the Readwise Reader API, built with TypeScript and the official Claude SDK.
Agent-agnostic record & replay skill: watch a user demonstrate a workflow (browser via Playwright, desktop via OpenAdapt) and turn it into a reusable AI-agent skill. Works with Claude Code, Codex CLI, opencode.
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
ReActMCP is a reactive MCP client that empowers AI assistants to instantly respond with real-time, Markdown-formatted web search insights powered by the Exa API.
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
GLM-5.3-Flash × J-Space capability realization — benchmark presentation of the J-Space Cognition Suite
Model Context Protocol server implementation for Reddit
MCP Deep Research Server using Gemini creating a Research AI Agent
MCP Server for Remnawave Panel
A community driven registry service for Model Context Protocol (MCP) servers.
Clean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
A skill marketplace for academic research: from project management to literature review, making figures and writing reports and grants.
TUI for reviewing diffs, files, and documents with inline annotations
The best react-native Agent Skills. Forget 10x, this is 100x.
A native /slop-review window for Claude Code, Codex CLI, and pi — review the slop before you ship it. Monaco-powered inline comments, agent reads them back. Forked from badlogic/pi-diff-review.
MCP server for reverse engineering tasks in Ghidra 👩💻
Turn dense long-form ideas into immersive Reading Editions.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
An autonomous agent that conducts deep research on any data using any LLM providers
Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.
Autonomous AI backend for deep research AI applications.
Universal content reader MCP Server for 10+ platforms
Possibly the deepest AI equity-research skill: nine-chapter single-stock deep dives and earnings deep-dives, with scripted DCF/EPV/EVA and reproducible valuation. Covers US, HK and A-shares. Docs in EN and ZH.
A powerful command-line interface for Redmine, enhanced with first-class AI agent capabilities via Skills and MCP integration.