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The Model Context Protocol went from ~2M monthly SDK downloads at launch in November 2024 to 97M/month by March 2026. The public registry grew from 1,200 servers in Q1 2025 to 9,400+ by April. It's now the de facto standard for connecting LLMs to external tools, files, and APIs. The tutorials haven'
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
As developers, we're constantly seeking tools that streamline our workflows and unlock new possibilities. For anyone working with video content, especially in the age of short-form virality, the process of extracting compelling clips from longer videos can be a significant bottleneck. Enter the Lumi
The rmcp crate and standard Rust libraries are used to build a basic MCP Server in Rust. This MCP Server is then built and deployed to AWS Lambda and validated locally with Gemini CLI. MCP is the Sham-wow of the AI-Verse. Python has traditionally been the main coding language for ML and AI tools. On
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
Every serious system gets audited; databases, code, finances. AI shouldn't be the exception. I'm building the tools to close that gap. chron is the first one. The problem I was doing long coding sessions with Claude. We'd work through a problem, make decisions, figure out an approach together. Then
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
GitHub has announced the general availability of secret scanning support through its MCP Server, extending automated credential detection and remediation capabilities into AI-assisted and agent-driven development workflows. By Craig Risi
When we started building thunderbit-mcp, the plan sounded straightforward: expose Thunderbit's web extraction API to AI coding agents through the Model Context Protocol. In practice, the hard parts were not the SDK calls. The hard parts were product-shaped: How many tools should the server expose? W
The invisible bill I was debugging why my Claude Code sessions felt sluggish after connecting a few MCP servers. Token usage was through the roof -- but I hadn't even asked the agent to do anything yet. I rewrote my prompts three times before I thought to check where the tokens were actually going.
MCP (Model Context Protocol) crossed 97 million monthly SDK downloads. Every major AI provider adopted it. It solved a real problem: how do agents invoke tools and retrieve context in a standardized way? But MCP is a protocol for what agents can do. It says nothing about where they are or how they f
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
A Sentry MCP user reported it on March 18: "all API calls being rate-limited within a few minutes of auth." The OAuth handshake works fine. It's the calls after auth that quietly burn the budget, one runaway automation loop already cost a team $47,000 in eight hours. If you run an MCP server today,
Expose your existing TypeScript classes to Cursor, Claude Desktop, and any other Model Context Protocol (MCP) client — without writing protocol code, without a heavy SDK, and without standing up a separate HTTP service. This post walks through the hazeljs-mcp-starter example in this folder: a small
AWS announces the general availability of the AWS MCP Server, a managed remote Model Context Protocol (MCP) server that gives AI agents and coding assistants secure, authenticated access to all AWS services. The AWS MCP Server is part of the Agent Toolkit for AWS, a suite of tooling that includes th
npx pio-mcp dashboard That's the install. Open a terminal anywhere — your laptop, a fresh VM, a coworker's machine — type one line, and you get a React dashboard wired to PlatformIO Core. From there an LLM can compile firmware, flash it to a real board, and stream serial back to the same browser tab
I was building an MCP server for an event platform that automates speaker communications (confirmations, reminders, calendar invites, follow-ups). An agent created a session confirmation for "Monday March 8th." March 8th was a Sunday. I caught it. But catching it was just the beginning. The confirma
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,
TestSprite MCP Server — Snelstartgids TestSprite MCP is een krachtige AI-gedreven testserver die je direct vanuit je favoriete IDE helpt om frontend- en backendapplicaties automatisch te testen. Met TestSprite kun je eenvoudig testplannen genereren, uitvoeren en fouten automatisch laten oplossen, al
