MCP Clients

Discover CLAUDE.md best practices for project-specific AI coding guidance, with ready-to-use templates for languages, frameworks, and real-world cases

Build a local MCP server that turns files, images, and video into fast spatial search for AI agents using Gemini embeddings and ChromaDB

Explore 30+ AI agent frameworks to learn patterns, architectures, and source-backed implementation details for building better agents

Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact

Control Bambu Lab printers, edit STL files, and manage 3MF print workflows with an MCP server for Claude and other MCP clients

Align teams on specs before AI writes code, so you review, plan, and build with less rework

MCP (Model Context Protocol) server and client using FastMCP and LangChain

Embed Google AI Studio in a desktop app and enable generated apps to interact securely with your local system through a JavaScript API.

🚀 Execute SSH commands and manage SFTP operations on remote servers easily with this Model Context Protocol server for AI assistants.

Build and run production-ready Claude Code agents with full agent specs, including turn limits, permissions, memory, and tool orchestration.

Debug AI agents in real time with Chrome DevTools to pause, inspect, and step through execution for faster issue resolution and control.

Build multi-organization LLM chat platforms with model routing, tool execution, usage analytics, and OpenAI-compatible APIs.

Expose how AI turns schoolwork into empty proof of learning and challenge the limits of AI in education

Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.

Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.