Rust
How to Run a Fast Website Parser for LLMs on 14 Megabytes of RAM
A lightweight Rust-based web scraper that uses just 14MB of RAM and outputs clean Markdown for LLMs.
#mcp-server
18 projects JavaScript
How to Feed Any Page to a Neural Network Without Ad Clutter and Extra Tokens
pullmd converts any webpage to clean Markdown for LLM agents, stripping ads and navigation clutter while preserving content structure and saving tokens.
Python
How Memora Gives Claude Code Assistants Long-Term Memory and a Knowledge Graph
How Memora gives Claude Code assistants long-term memory and a knowledge graph through MCP, turning scattered notes into a structured knowledge base.
Go
GitOps on Autopilot: How flux-operator Simplifies Life with Flux CD
flux-operator turns Flux CD management into a declarative Kubernetes experience with a built-in web UI, ResourceSets for ephemeral PR environments, and MCP server for AI assistants.
C-sharp
How to Connect Claude and Cursor Directly to Unity via MCP
Unity-MCP connects Unity with Claude and Cursor via the Model Context Protocol, giving AI assistants direct access to scenes, assets, and the Roslyn compiler.
TypeScript
How to Connect Thousands of Ready-Made Parsers to Your LLM
Apify's MCP server lets AI agents tap into thousands of ready-made cloud scrapers through a unified tool-calling interface, eliminating the need to build custom scraping infrastructure.
TypeScript
How to Teach Claude Code to Watch Videos and Understand What's Happening on Screen
A plugin for Claude Code that converts video into frames and timestamped transcripts, letting the AI analyze screen recordings and YouTube videos directly in the terminal.
Python
Knowledge Graphs Instead of Gigabytes of Embeddings for Code Analysis in Monorepos
Developer Vitaliy built code-graph-rag to replace vector search with knowledge graphs for monorepo code analysis. It uses Tree-sitter, Memgraph, and Qdrant to understand code structure.
TypeScript
How Microsoft Solves Crooked AI-Generated Charts with Flint
Microsoft Research and Renmin University introduce Flint—an intermediate language that simplifies chart generation for LLMs by handling semantic types and automatic layout optimization.
TypeScript
Turning Claude Code into an Automated Development Powerhouse
Developer Dave Poon built buildwithclaude, a marketplace and knowledge base for Claude Code users that aggregates thousands of plugins, subagents, and MCP servers.
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%.
Python
Managing UniFi Networks and Cameras with LLM Agents
UniFi MCP connects AI assistants like Claude Code to UniFi controllers for managing networks, cameras, and access control through natural language queries.
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.
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.
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.
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.
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