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Cursor's mobile app and cloud-agent migration capability let agents continue running after a developer closes their laptop, decoupling coding work from the local machine.
The release gives developers a publicly modifiable interface between trading commands and AI tooling, with live-order security caveats flagged as a factor that could affect the reliability of systems built on it.
The `/automate` skill offloads the manual work of configuring automation triggers and tooling to the agent, letting users set up automations through natural language alone.
A new addition to the hosted MCP server space, covering social media scheduling across 11 platforms without requiring users to manage their own infrastructure.
The agent finder removes the manual configuration burden of wiring MCP servers, skills, canvases, agents, and tools to each agent in GitHub Copilot, and reduces unnecessary context window consumption in the process.
The `/in-cloud` command offloads subagent execution to dedicated cloud VMs, removing the local resource pressure that long-running or parallel agent tasks would otherwise impose.
A new MCP in the agentic coding tooling space that connects Claude Code to a live browser session for iterative, point-and-build collaboration.
Tmppr gives AI coding agents a structured, GitHub-style PR lifecycle running entirely on a local machine, replacing ad-hoc chat-log coordination with enforced review gates, local CI, and native MCP tool integration.
The server addresses a gap in MCP web-content tooling by handling JavaScript-rendered pages that static HTML fetchers cannot capture.
The server's persistent knowledge graph approach reduces the token cost of codebase exploration by a claimed 99%, directly addressing one of the primary bottlenecks for AI coding agents working on large repositories.