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The MCP demo is easy now. That is the part people keep underestimating. Once a protocol gets enough examples, SDKs, docs, and copy-pasteable server templates, the first win becomes cheap. Your agent calls a tool. It reads a resource. It pulls context from somewhere that used to require glue code. Th
Originally published with live data at https://wmcp.sh/reports/state-of-mcp-security-2026 The Model Context Protocol exploded this year. Claude, Cursor, Codex, and a wave of agents now discover and auto-connect to MCP servers. Which raises a question nobody's answering: who's checking those servers
Google Cloud Storage (GCS) is a foundational component of the modern agentic tech stack and the preferred home for unstructured data at scale. As enterprises deploy agents in production, the critical focus has shifted to turning data into context and building secure, standardized integrations to acc
This article was originally published on aicoderscope.com The verdict up front: Context7 and GitHub MCP belong in every setup. Add Playwright if you write tests, Supabase or Postgres if your agent touches a database, and Linear or Sentry if your team uses them. That is a 3-to-5-server stack covering
Your MCP server is getting hammered by agents you didn't authorize. A free tier is open to the world. A premium tool is one runaway loop away from torching your LLM budget. You need a gate. So I went shopping. Four projects ship something that calls itself an MCP gate today. I wired each one against
Every MCP server you run locally executes with your full filesystem and network permissions. That means the GitHub MCP server, the Slack one, that third-party tool you installed from npm last week — all of them can read your SSH keys, .env files, and credential stores by default. Anthropic just open
Introduction: Modern LLM-powered applications require external tools to interact with real-systems such as a databases, APIs, cloud platforms, and enterprise services. MCP (Model context Protocol) provides standardized mechanism for exposing tools to AI agents. In this article, we will build an MCP
Somebody at Sentry filed a bug last month: Cursor Automations started hitting rate-limit errors almost immediately after authenticating. The bucket was sized for humans — 60 requests per 60 seconds — and an agent tore through it in seconds. That's the MCP auth problem in miniature. You've got a serv
MCP (Model Context Protocol) is now embedded in Claude, Cursor, Windsurf, GitHub Copilot, and hundreds of other AI tools. Every one of those tools runs MCP servers — and almost none of them have been security audited. I spent the last month building mcp-safeguard — the first open-source automated se
If you're using Claude Desktop, Cursor, Windsurf, or any other AI coding assistant, there's a good chance you've already connected an MCP server. You may have done it without fully understanding what you handed the AI. MCP (Model Context Protocol) is the open standard Anthropic built to connect LLMs
I shipped ten Model Context Protocol servers under one npm scope this year. Three I use multiple times a week. Seven sit in my config file as dead weight. This is the honest ranking. The pattern is uncomfortable for the MCP-everywhere hype cycle, so I want to write it down. streamparse-mcp parses pa
Two Tiny MCP Servers That Reduced Prompt Waste This Week This week I kept hitting the same two problems while running an agent-heavy workflow. First, structured outputs drifted. A model would mostly follow the schema, then miss one required field or return the wrong shape under pressure. Second, too
MCPSafe (mcpsafe.io) runs automated security scans of Model Context Protocol (MCP) server repositories using a five-model LLM judge panel and a purpose-built scoring rubric called AIVSS (AI Vulnerability Severity Score). Over the past three months, we've scanned 50+ MCP servers across GitHub, npm, a
Artificial intelligence detection and response platform startup Manifold Security Inc. today announced an expansion of its Manifest supply chain intelligence tool to cover Model Context Protocol servers, adding scored entries for more than 7,700 servers pulled from the official MCP Registry. The exp
Hello, I'm Shrijith Venkatramana. I'm building git-lrc, an AI code reviewer that runs on every commit. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product. Imagine you want your AI coding assistant or agent to actually do useful things in you
MCP becomes especially interesting when it connects AI agents to systems that already exist in enterprise applications. For Java teams, Spring AI is one practical way to build that bridge. An MCP server exposes tools or data sources to AI clients through a shared protocol. Instead of wiring every AI
caddy-mcp is a Caddy plugin for exposing MCP servers that live on private networks. The private box dials out to Caddy over QUIC, Caddy serves it as a normal HTTPS endpoint. No inbound ports, no third party in the request path. Public Internet | v +--------------------+ | Caddy :443 | TLS, routing,
Model Context Protocol (MCP) has become the standard way to expose tools to AI agents. With Azure Logic Apps, you can create and run multiple MCP servers and let an agent consume them together — cleanly and modularly. In this post, we'll build: A Basic Arithmetic MCP server An Extended Arithmetic MC
Anthropic created the Model Context Protocol as the open standard for AI agent-to-tool communication. OpenAI adopted it in March 2025. Google DeepMind followed. Anthropic donated MCP to the Linux Foundation in December 2025. Downloads crossed 150 million. Then four researchers at OX Security found a
At Google Cloud Next ‘26, we announced that more than 50 Google-managed Model Context Protocol (MCP) servers are generally available or in preview, with more on the way. Why it matters: To move beyond experimental prototypes, AI agents must be able to access real-world data and solve complex problem
