Cloudflare delivers the toolkit for AI agents with new Agents SDK support for MCP (Model Context Protocol) clients, authentication/authorization/hibernation for MCP servers, and Durable Objects free tier.
Project Think: building the next generation of AI agents on Cloudflare
Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.
Composio toolkits | MCP and API Integrations for AI Agents
Connect your agent to leading SaaS apps in minutes. Secure access to 20,000+ tools via MCP or direct APIs to automate real work.
Cloudflare gives AI agents an identity and a wallet | Cloudflare
New tools mean businesses will be able to see who's behind an AI agent, and those agents will be able to pay for things safely on their owner's behalf.
Announcing Cloudflare Wallets: The programmable wallet for the agentic Internet
Cloudflare Wallets will provide AI agents with native payments and verifiable identity on the web. Using the x402 protocol, agents can autonomously purchase APIs and content within clear safety guardrails.
Agent Gateway overview | Gemini Enterprise Agent Platform | Google Cloud Documentation
Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.
Strata Demo video
Strata Demo video
Build and deploy Remote Model Context Protocol (MCP) servers to Cloudflare
You can now build and deploy remote MCP servers to Cloudflare, and we handle the hard parts of building remote MCP servers for you. Unlike local MCP servers you may have previously used, remote MCP servers are Internet-accessible. People simply sign in and grant permissions to MCP clients using familiar authorization flows.
Notion’s hosted MCP server: an inside look
Earlier this year, we got requests for a Notion MCP server that would let AI agents work directly with Notion workspaces. Here’s how we built it, from our initial open-source experiment to today’s hosted solution with custom tools designed specifically for AI workflows.
Code execution with MCP: building more efficient AI agents
Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.
mcp.run - Universal Tools For AI Through An App Store for AI Agents
Pietro on Twitter / X
Recently, Anthropic https://t.co/v9hnbaLCmG and Cloudflare https://t.co/JBb6SexF8N released two blog posts that discuss a more efficient way for agents to interact with MCP servers, called Code Mode.There are three key issues when agents interact with MCP servers traditionally:… pic.twitter.com/hfUocpe6kV— Pietro (@pietrozullo) November 20, 2025
Apple working on MCP support to enable agentic AI on Mac, iPhone, and iPad
With today’s rollout of developer betas, Apple began to lay the groundwork for adopting Anthropic’s protocol for agentic AI.
Why cloud native belongs at the heart of agentic AI: Lessons from building a multi-agent security platform on Kubernetes
In March, I gave a talk at KubeCon + CloudNativeCon Europe 2026 in Amsterdam. After the session, the same questions kept coming up on the CNCF Slack and in person: why build agentic AI on cloud native…
