MCP

MCP Apps let servers return sandboxed, interactive UI instead of text alone while the host retains control of prompts and tool calls—a useful pattern for agent workflows needing charts or controls.

MCP Tasks aim to make long-running tool calls durable across disconnects and crashes. The proposed V2 removes session-heavy state, but polling scale and implementation complexity remain unresolved.

Vercel MCP now serves the 2026-07-28 and 2025 protocols from one endpoint, letting newer clients adopt stateless requests and revised authorization without breaking older setups.

mcp-handler 2.0 adds the stateless 2026 MCP protocol and SDK v2 while keeping 2025 Streamable HTTP clients working, but drops HTTP+SSE and raises upgrade requirements.

Treat agent skills as supply-chain dependencies. Nubank scans them locally and in CI with deterministic rules plus LLM review, then gates marketplace distribution and feeds findings into vulnerability management.

Graph-shaped context can expose relationships and document structure that vector search or Text-to-SQL misses. Treat it as an additional retrieval surface, then benchmark it against your own data.

Vercel’s MCP server can deploy agent-built code to new or existing projects and return a shareable URL, extending chat-based coding workflows through delivery.

Vercel MCP can now buy plans, credits, add-ons, and domains from an AI assistant, but it must disclose pricing and obtain confirmation before completing a charge.

Agent Reach installs, checks, and routes web-access tools for coding agents, reducing the setup work behind research across social platforms, video sites, GitHub, RSS, and the open web.

Your coding agent can now pull its own Agent Runs traces—reasoning, tool calls, token usage—from Vercel via MCP or CLI, so it can debug its runs and refine skills from real production behavior.

Gemini Spark lands on macOS (US, AI Ultra beta) and gains custom MCP support plus connectors for Tasks, Keep, Canva and Dropbox — Google's assistant now speaks the protocol your agent tooling already uses.

Gemini Managed Agents can now run asynchronously, connect to remote MCP servers, call client-side functions, and rotate credentials without losing sandbox state.

Muse Spark 1.1 gives agent builders a 1M-token multimodal model with parallel tool calls, MCP support, and the option to run as a main agent or subagent.

Chrome DevTools MCP gives coding agents direct access to browser automation, network data, console errors, screenshots, and performance traces, with privacy controls worth setting explicitly.