Python
How to Stop Burning Thousands of Dollars on Tokens When Working with AI Agents on Code
jCodeMunch MCP indexes your codebase with tree-sitter and feeds AI agents only the relevant code snippets, cutting token costs by 95–99%.
#mcp
38 projects Kotlin
How One Kotlin Project Covers Android, iOS, Web, Wear OS, and AI Agents
A practical look at how one Kotlin Multiplatform project delivers shared business logic across Android, iOS, Web, Wear OS, and AI agents through MCP.
Unknown
Practical guide to the Model Context Protocol ecosystem using the Awesome-MCP-ZH repository as an example
A practical guide exploring the Model Context Protocol ecosystem through the Awesome-MCP- ZH repository, covering clients, servers, automation tools, and custom development.
HTML
How to Train AI to Write Proper Documents Instead of Fluff
Turn vague AI prompts into professional documents with 700+ ready-made Markdown instructions for engineers, lawyers, and marketers.
Python
How to Build a Working AI Agent Without Losing Your Mind
A practical guide to building AI agents that actually work. The ai-agent-book repository by Bojie Li covers everything from context engineering to self-evolution without fine-tuning.
TypeScript
How to Give Your AI Agent Internet Access Without Breaking the Bank on API Keys
wigolo turns your computer into a local web intelligence hub for AI agents. No API keys, no subscriptions, no data sent to third parties. Here's what it can do.
TypeScript
How to Teach AI Agents to Test Mobile Apps on Their Own
Callstack released agent-device, a CLI tool that gives AI agents "hands and eyes" to test mobile apps directly on simulators and emulators.
Python
How to Stop Feeding LLMs and Teach Agents to Understand Your Code
I tried Memtrace — a tool that turns your codebase into a knowledge graph for AI agents, indexing 15,000 files in 1.5 seconds without LLM calls.
Go
ADK Go - A Framework for AI Agents That Go Developers Will Love
ADK Go is a complete toolkit for building AI agents in Go, with idiomatic code, production-ready cloud deployment, and multi-agent systems support.
C-plus-plus
How to Connect Unreal Engine with Modern Neural Networks Without the Extra Pain
UnrealGenAISupport is an open-source plugin that bridges Unreal Engine with modern LLMs like OpenAI, Claude, DeepSeek, and Gemini, featuring MCP support for editor control.
Python
How to Teach Claude Code to Control an iOS Simulator
A look at ios-simulator-skill: 22 scripts that let Claude Code control an iOS simulator, filter build noise, and interact with apps via Accessibility API.
1,130
JavaScript
AnythingLLM - Your Personal ChatGPT for Working with Documents
AnythingLLM transforms your documents into a smart knowledge base you can chat with. Supports 20+ LLMs, no-code agents, and multimodal processing.
62,215
C
How to Make an AI Agent Work with a Massive Legacy Codebase Without Losing Context or Money
Discover how to make AI agents work with massive legacy codebases without losing context or burning through your token budget. A deep dive into codebase-emory-mcp.
16,677
TypeScript
How to Connect Neural Networks with Figma and Why Developers Need This
MCP bridges AI assistants like Claude with Figma, letting neural networks read designs, export tokens, and even generate layouts from text descriptions.
1,890