Multi-user AI agents need a delegated authorization stack — OAuth 2.1, OIDC, and an MCP runtime that enforces the user/agent intersection at every tool call. This guide breaks down the nine capabilities, two identities, and one strict rule that production deployments need in 2026.
MCP runtime build vs. buy in 2026 hinges on multi-user auth, audit-grade governance, and the ongoing maintenance load of custom OAuth and policy. This guide walks engineering leaders through the decision criteria and four tipping points.
Claude Code Routines enable unattended, cloud-run workflows via scheduled, API, and GitHub event triggers — but demo-grade setups break under enterprise load. Here are five production-leaning routines for engineering teams plus the MCP runtime patterns that make them safe to ship.
A 2026 taxonomy of the MCP ecosystem — registries, gateways, and runtimes — plus a feature-by-feature comparison of 8 platforms on per-user auth, audit logs, and private infrastructure support.
Five SRE workflows — incident triage, runbook execution, postmortem drafting, SLO investigation, on-call handoffs — that Claude Code can run today, and the auth, scope, and audit gap that decides whether they make the rotation.
Securely connect AI agents to enterprise tools using an MCP runtime. Architecture guide covering OBO execution, JIT auth, token isolation, and 4 integration approaches compared.
Which enterprise software vendors are making their platforms accessible to AI agents, and which are keeping the doors locked? Arcade.dev's ToolBench rankings reveal the 5 most open and 5 most closed SaaS vendors for MCP connectivity.
Build an always-on WhatsApp AI assistant with working code. Uses Arcade.dev for secure auth, Claude Code for orchestration, and MCP for tool integration.
