Model Context Protocol
Model Context Protocol (MCP) is an open standard that lets AI models connect to external data sources and tools through a unified interface. We benchmark and compare various MCPs to evaluate their performance, reliability, and capabilities.
Figma MCP Server Tested: Figma to Code in 2026
Figma has announced the beta release of its Dev Mode MCP server, which connects design files directly to AI coding tools like Cursor, Windsurf, and Claude Code. The server uses Model Context Protocol (MCP) to provide design context to Large Language Models, enabling code generation that reflects both design specifications and existing codebase patterns.
AI Apps with MCP Memory Benchmark & Tutorial in 2026
We tested memory tools to find out which ones actually work best for AI agents. Using LangChain’s ReAct Agent, we connected four different Model Context Protocol (MCP) memory servers and measured their performance in real scenarios. Beyond benchmarking, we built a working demo that connects Claude with Cursor through OpenMemory MCP.
MCP Benchmark: Top MCP Servers for Web Access in 2026
We benchmarked 8 MCP servers across web search, extraction, and browser automation by running 4 different tasks 5 times each. We also tested scalability with 250 concurrent AI agents.
How ACP Enables Interoperable Agent Communication?
We’re starting to see GenAI move toward standardization, similar to how HTTP transformed the internet in the early 1990s. Just as HTTP enabled the rise of the World Wide Web, new protocols are emerging.
MCP Security: Best Practices and Avoid Common Pitfalls
The model context protocol (MCP), pioneered by Anthropic, is quickly becoming the go-to standard for connecting large language models (LLMs) to the outside world. But the same simplicity that makes MCP so powerful also makes it risky.
Centralizing AI Tool Access with the MCP Gateway in 2026
Source: Jahgirdar, Manoj In this article, I’ll walk through the evolution of AI tool integration, explain what the Model Context Protocol (MCP) is, and show why MCP alone isn’t production-ready. Then we’ll explore real-world gateway implementations between AI agents and external tools.