A Model Context Protocol (MCP) server for the Readwise Reader API, built with TypeScript and the official Claude SDK.

README-first research reproduction skills with bounded execution, auditable evidence, and byte-preserving README annotations.

An MCP server that enables searching and browsing of RimWorld source code.

Read-only MCP server for Robinhood portfolio research

Turn dense long-form ideas into immersive Reading Editions.

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.

Universal content reader MCP Server for 10+ platforms

Model Context Protocol server implementation for Reddit

A curated list of resources about Ralph, the AI coding technique that runs AI coding agents in automated loops until specifications are fulfilled.

Skill and tool bundles for gap (graph as policy) — Anthropic Agent Skills format, discovered by path

MCP Deep Research Server using Gemini creating a Research AI Agent

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.

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.

PDF RAG server for cursor.

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.

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

MCP server for reverse engineering tasks in Ghidra 👩‍💻

An interactive disassembler for the CPU 6502, focused on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, flow arrows, keyboard-driven, MCP server for auto analysis, VICE debugger and more!

250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.

Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase.