Focused Labs argues that AI agent security must be enforced at the tool call, not at connection setup. The HCP paper defines eight runtime invariants for MCP-style systems, and its benchmark shows tha…
A developer ran 70 MCP servers in a sandboxed environment using Docker and strace to log runtime behavior, finding that 67 were clean at startup, 3 made outbound HTTPS connections consistent with thei…
A developer built a family of MCP servers enabling AI agents to accept payments across 30 countries, including Pix in Brazil and UPI in India. After a Reddit user suggested adding guardrails for agent…
A developer building an MCP-based Tokyo transit agent rolled back a SKILL layer experiment after it caused the agent to stop using the MCP tool and rely on web search instead. The engineer found that …
Arbor v2.4.0, a code graph MCP server, was released in July 2026 with support for the MCP 2026-07-28 protocol, Tasks extension, MCP Apps for interactive UI, and Streamable HTTP transport. The update e…
AppSignal launched an MCP server that lets developers query monitoring data using plain language inside editors like VS Code and Cursor. The server exposes tools for errors, incidents, anomalies, metr…
A full-stack web developer predicts that by 2030, AI progress will shift from scaling models to optimizing inference efficiency and standardizing integration protocols. The industry will move toward d…
A team running multiple MCP servers in production identified common failures including unactionable errors, forced re-logins, disappearing tools, and oversized responses. They compiled their fixes int…
LeadShark launched Apex, a governed LinkedIn MCP server that lets AI agents operate LinkedIn accounts with paced, capped, approval-gated, and logged actions. The tool draws safety budgets from LeadSha…
A developer released mcp-bastion, an open-source proxy that addresses reliability and security gaps in the Model Context Protocol (MCP). The proxy handles MCP server disconnections by providing status…
A developer built an MCP server at mcp.decile.com using Ember.js for the embedded MCP Apps, alongside a backend stack including Kubernetes, Starlette, Django REST Framework, and nginx. The project hig…
CodeTalk, a new developer tool, recovers the rationale behind AI-written code by grounding explanations in real git commit history and session transcripts, using zero-LLM deterministic lookup. The too…
The Model Context Protocol (MCP) is emerging as a standard integration layer for AI systems, solving the problem of chaotic glue code by standardizing how AI hosts discover and use external capabiliti…
Fiszki, a new spaced-repetition flashcard app, lets AI assistants create and manage decks via MCP, scheduling reviews with the FSRS algorithm. The app supports shared decks for teams and is currently …
A developer shares best practices for using AI coding tools effectively, including keeping chats short per feature, using an AGENTS.md file for project context, being specific with file references, ma…
Cursor launched Automations, a feature that triggers AI coding agents automatically via GitHub PRs, Slack messages, PagerDuty alerts, or cron schedules without developer intervention. The agents run i…
A developer built an MCP server called ShareMyPage that lets Claude create, edit, and comment on hosted web pages, with the entire user experience designed solely through tool names, input schemas, an…
A developer working on a GitHub adapter for AI agents identified a stale state problem where an agent's reasoning remains correct but the target repository changes before the change is applied. The so…
Researchers introduced ArtisanCAD, an industrial-level CAD agent that uses expert-grounded knowledge distillation to convert ambiguous text prompts into executable CAD programs. The system leverages a…
The Model Context Protocol (MCP) enables AI assistants to interact with external tools and data sources through standardized servers. A developer demonstrates how to build MCP servers using the offici…