Your First Python MCP STDIO Server
Build mcp-travel, your first Python MCP STDIO server with FastMCP: two mock tools testable in Claude Desktop, Claude Code CLI and OpenCode.
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MCP Security: Risks, Attacks and Best Practices
5 MCP attack vectors documented by Invariant Labs and Trail of Bits, with 3 isolation levels: source audit, rootless Docker, and lightweight VM.
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Claude Code: Automate with Goals and Dynamic Workflows
Move beyond iterative prompting: /goal keeps Claude working until a verifiable condition is met; Dynamic Workflows orchestrate up to 1,000 agents via a JavaScript script.
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Press Review — AI Agents, Memory and Claude Sonnet 5 — July 1, 2026
Claude Sonnet 5 launches alongside Microsoft Memora; AI agent memory, isolation, infrastructure governance, and LLM cost management in focus.
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MCP SDKs and Frameworks: how to choose your stack
Python, TypeScript, Go, Java, Kotlin: ten languages have an official MCP SDK. Full comparison, “hello tool” code snippets for each SDK, and a practical decision guide by use case to build your MCP server.
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SkillSpector: Scan Your AI Agent Skills Before Installing
SkillSpector (NVIDIA, open source) scans your AI agent skills to detect CVEs, prompt injection, and MCP tool poisoning. Our test on the wordpress-claude repo: 100/100 CRITICAL with static analysis, 13/100 SAFE with LLM — and why that reversal changes everything.
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MCP Servers: some examples
18 reference MCP servers across 6 domains, step-by-step declaration guide for Claude Desktop and Gemini CLI, and criteria for auditing community servers before installation.
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MCP — The Universal Protocol for AI Agents
MCP (Model Context Protocol) is Anthropic’s open standard for connecting AI agents to any tool. JSON-RPC 2.0 architecture, three primitives (tools, resources, prompts) and two transports — foundations of the MCP-101 series.
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Press Review — AI, Security and Token Economics — June 10, 2026
AI code ships despite security vulnerabilities, Anthropic silently restricts Claude Fable 5, and the Tokenomics Foundation targets open standards for AI cost management.
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A2A and MCP: Essential Protocols for AI Agent Development
MCP connects agents to their tools. A2A connects agents to each other. A breakdown of the two open protocols defining agentic AI infrastructure in 2026.
