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The Model Context Protocol (MCP) is an open standard for AI model communication.
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Latest insights, tutorials, and updates from the Model Context Protocol team

Documentation
qwenpawmcp-clientai-assistantsecurity-layersagentscope-ai

QwenPaw MCP Client: Secure AI Assistant with Kernel-Level Sandboxing

QwenPaw is a Python-based MCP Client acting as a personal AI assistant, offering zero-configuration deployment and cross-platform support. It solves the challenge of securely integrating AI tools with robust, multi-layered security features like kernel-level sandboxing and a YAML rule engine for tool execution.

August 12, 2026
2 min read
blender-mcpmcp-serverblender-aiclaude-integration3d-modeling

blender-mcp: AI-Assisted 3D Modeling with Claude via MCP Server

blender-mcp is an MCP Server that integrates Blender with Claude AI, enabling prompt-driven 3D modeling, scene creation, and object manipulation. It solves the challenge of AI-assisted design within Blender, leveraging Poly Haven assets and Hyper3D Rodin. Developers working with Blender and Claude will find this integration valuable for accelerating creative workflows.

August 11, 2026
3 min read
kratosmcp-servergo-kratosgo-microservicescloud-native

kratos: Go Microservices Framework for Cloud-Native MCP Server AI

kratos is a Go-based microservices framework for cloud-native AI applications, functioning as an MCP Server. It provides a robust foundation for building scalable services in Go, ideal for developers targeting modern distributed systems and integrating with the Model Context Protocol.

August 10, 2026
2 min read
agentsmcp-clientwshobsonagentsai-pluginsagentic-workflows

agents MCP Client: Multi-Harness Plugin Marketplace for LLMs

agents is an MCP Client providing an agentic plugin marketplace with 83 plugins, 191 agents, 155 skills, and 102 commands. It targets developers building production-ready workflows across Claude Code, OpenAI Codex CLI, Cursor, OpenCode, and Gemini CLI, all from a single Markdown source.

August 9, 2026
2 min read
headroommcp-serverchopratejasheadroomtoken-compression

headroom MCP Server: 95% Token Compression for LLMs

headroom is an MCP Server that dramatically compresses tool outputs, logs, files, and RAG chunks before they reach the LLM, achieving 60-95% token reduction. Developers working with LLMs who need to optimize context window usage will find its MCP capabilities useful.

August 8, 2026
2 min read
ai-berkshiremcp-clientvalue-investingclaude-codecodex

ai-berkshire MCP Client: Value Investing with Claude Code & Codex

ai-berkshire is an MCP Client that provides a value investing research framework, integrating methodologies from four masters via AI agents. It's designed for Claude Code and Codex users seeking to automate and deepen their investment analysis.

August 7, 2026
3 min read
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