Latest insights, tutorials, and updates from the Model Context Protocol team
trigger.dev is a TypeScript MCP Client designed for building and deploying fully-managed AI agents and workflows. It enables developers to create long-running, durable background tasks with real-time updates and structured I/O, solving challenges in complex AI agent orchestration.
The system_prompts_leaks MCP Server provides a curated collection of extracted system prompts from prominent chatbots like ChatGPT, Claude, and Gemini. Developers leveraging MCP can access these insights to understand and analyze the foundational instructions guiding popular AI models.
reactive-resume is an MCP Client offering a privacy-focused, open-source resume builder. It integrates with major AI models (OpenAI, Gemini, Claude) to assist in resume creation, while providing full data control and self-hosting options. Developers seeking a customizable, secure resume solution with AI capabilities will find it useful.
haystack is an open-source Python MCP Client for building production-ready LLM applications. It provides an AI orchestration framework for designing modular pipelines and agent workflows, offering explicit control over retrieval, routing, memory, and generation for context engineering.
dbx is a 20 MB Rust-powered cross-platform database client supporting over 70 databases. It provides a separate MCP server, enabling AI coding agents to query configured databases with granular access controls. Developers can integrate dbx with tools like Claude Code and Cursor for AI-driven database interactions.
mem0 is a Python-based MCP Client providing local and secure memory management for AI agents. It significantly boosts accuracy and speed while reducing token usage over traditional methods. Developers building AI assistants or personalized applications should consider mem0 for its adaptive multi-level memory capabilities.