
Direct AI Debugging for Active Chrome Sessions
AI coding agents can now debug live, authenticated Chrome sessions by connecting directly to the user's active browser via the DevTools MCP server.

AI coding agents can now debug live, authenticated Chrome sessions by connecting directly to the user's active browser via the DevTools MCP server.

MCP is the indispensable foundation for professional agentic engineering in organizations, offering security and observability that simple CLI tools cannot provide.

An open-source MCP tool that automates Anthropic prompt caching to reduce token costs by 90% and provide deep usage observability.

A dynamic, AI-ready CLI for Google Workspace that automates API interactions for both humans and LLMs.

WebMCP introduces standardized APIs to enable faster, more precise, and reliable interactions between AI agents and websites.
WebMCP is a JavaScript API that allows web applications to provide executable tools and context to AI agents.

In agent ecosystems, markdown skills are the new supply-chain installer—already used to deliver infostealers—so don’t run them on work devices and build a real trust layer with provenance, mediation, and least privilege.

Skip MCP: use a tiny, composable Bash + Puppeteer toolset with a short README to drive browser work more efficiently.

A simple, token-efficient “skills as Markdown” approach turns Claude Code into a powerful general agent, likely outpacing MCP in practicality and adoption.

Gemini CLI extensions let you turn the terminal into a personalized, AI-powered hub by installing intelligent tool integrations from an open ecosystem.
A Redis‑backed MCP server that gives Claude persistent, secure, cross‑session memory with powerful organization, search, and governance features.

A central hub to plan, build, and deploy high-quality ChatGPT apps with the Apps SDK, available in preview now.

An open-source platform that connects to many apps and serves semantic search for agents via REST or MCP, with simple setup and SDKs.

A trusted MCP email tool quietly added a BCC backdoor and has been siphoning thousands of emails, exposing a fundamental security gap in the MCP ecosystem.

Treat AI coding as a platform capability: measure it, centralize enablement, hardwire context, remove friction—and adoption will safely scale to unlock agents and bigger wins.

A production‑ready FastAPI + Pydantic‑AI service that uses MCP tools to find, score, and summarize tech trends and related repos, with agent‑to‑agent orchestration and one‑command Docker deployment.

Keep the agent simple: plan–execute–deterministically verify in a loop, with MCP tools, targeted memory, and a small policy engine.

ApeRAG is a production-grade, multimodal GraphRAG platform with AI agents and MCP, built for hybrid retrieval and scalable K8s deployment.

Treat the AI orchestrator as a secure, standardized virtual machine so models can safely and portably use tools and data under strict governance.