Model Context Protocol (MCP), an open standard for connecting AI systems to external tools, data sources, and services1.

Gen AI Toolbox for Databases is currently in beta, and may see breaking changes until the first stable release (v1.0). Gen AI Toolbox for Databases is an open source server that makes it easier to bui...

Designed with DX in mind, it streamlines development and lowers the barrier to entry for anyone looking to create and deploy powerful tools on top of the Model Context Protocol ecosystem. Declarative,...

Context7 is a robust platform designed to create, manage, and leverage context libraries for Large Language Models (LLMs), AI agents, and developers. It automatically pulls high-quality, targeted code...

Bridging the Latest Research on Context Context engineering is the delicate art and science of filling the context window with just the right information for the next step.

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Context Engineering is new term gaining traction in the AI world. The conversation is shifting from prompt engineering to a broader, more powerful concept: Context Engineering. Tobi Lutke describes it...

An MCP server that connects an LLM to the archives (since 1999) of The Guardian, including the full text of all articles — more than 1.9 million of them. Useful for real-time headlines, journalism ana...

In 1985, computer scientist Peter Naur wrote a prescient essay called “Programming as Theory Building” that feels more relevant today than ever.

The official specification, schema, and examples for the CLIP (Context Link Interface Protocol) standard. CLIP enables venues, devices, and services to expose structured, machine- and LLM-friendly con...

MetaMCP is a MCP proxy that lets you dynamically aggregate MCP servers into a unified MCP server, and apply middlewares. MetaMCP itself is a MCP server so it can be easily plugged into ANY MCP clients...

In 1985, computer scientist Peter Naur wrote a prescient essay called Programming as Theory Building that remains relevant today. The central thesis is that a program is not its source code; instead, ...

An in-depth exploration of advanced Model Context Protocol features including progress tracking, cancellation, completions, logging, and more with practical implementation examples. The Model Context ...

The latest release of the Model Context Protocol (MCP) — dated 2025-06-18 — introduces powerful enhancements advancing MCP as the universal protocol for AI-native APIs.

The latest release of the Model Context Protocol (MCP) — dated 2025-06-18 — introduces powerful enhancements advancing MCP as the universal protocol for AI-native APIs. Key highlights include: Human-i...

LinkedIn today announced Northguard, a scalable log storage system that replaces Kafka, and Xinfra, a virtualized Pub/Sub layer. Northguard delivers sharded data & metadata, log striping, strong consi...

MCP SuperAssistant is a Chrome extension that integrates the Model Context Protocol (MCP) tools with AI platforms like Perplexity, ChatGPT, Google Gemini, Google AI Studio, Grok, and more. It allows u...

Brings MCP to ChatGPT, Perplexity, Grok, Gemini, Google AI Studio, OpenRouter and more... MCP SuperAssistant is a Chrome extension that integrates the Model Context Protocol (MCP) tools with AI platfo...

🤖 Co-authored with Claude Code - Building workflows so LLMs can finally follow a recipe without burning the kitchen! 🔥 A powerful Model Context Protocol (MCP) implementation that enables LLMs to exe...

Co-authored with Claude Code, the workflows-mcp project focuses on building powerful Model Context Protocol (MCP) implementations to enable Language Model Models (LLMs) to execute complex, multi-step ...