LiveAgent vs Hiver
Side-by-side trajectory, velocity, and editorial themes.
LiveAgent wires its ticketing engine into the Claude ecosystem via MCP.
LiveAgent is in dense maintenance mode — multiple version trains and a backport branch all shipping fixes and security patches almost daily — but the AI integration thread has sharpened. The 5.64 release adds an AI Agent Work Distributor for tickets, a new add_note MCP tool, and OAuth 2.1 on the MCP server with the explicit goal of letting claude.ai connect as a custom connector. Earlier May releases switched the MCP protocol to Streamable HTTP and renamed MCP tokens for clarity.
The product is positioning MCP as its core integration substrate. Each release adds another MCP refinement — protocol upgrade, naming cleanup, ticket-level AI work distribution — pointing toward a model where Claude or any MCP-aware agent triages and acts on tickets natively. The parallel backport lines (5.62.x, 5.63.x) suggest the AI work is being layered on without forcing customers off the legacy install base.
Expect the AI Agent Work Distributor to grow into more autonomous resolution flows, with new MCP tools added incrementally (search, reply, escalate), and a more explicit Claude-Connector-ready posture in product marketing.
Hiver pivots from Gmail-only to AI-grounded omnichannel.
The recent feed shows two parallel pushes: an AI knowledge layer (Google Drive, Confluence, and Google Sheets becoming Ask-AI-queryable sources) and a channel-expansion push (Slack as a managed customer-service channel inside Hiver Omni, plus omnichannel search and automation primitives that work across email/chat/Slack). Automation gets meaningful new building blocks too — API calls as actions, new triggers and conditions.
Hiver is repositioning from 'shared inboxes inside Gmail' to 'AI-grounded omnichannel customer service platform.' The Slack-as-channel and API-call automation moves directly compete with Front, Help Scout, and the lightweight tier of Zendesk. The AI knowledge-source work is laying the grounding layer that turns Hiver AI from a reply-suggester into something closer to a tier-1 agent.
Expect a Microsoft Teams channel addition, more knowledge-source connectors (Notion, SharePoint, Salesforce KB), and a packaged 'AI Agent' tier that bundles Ask AI + grounded sources + automation actions into something that resolves tickets autonomously. Pricing for AI usage is the next question — flat seats won't survive heavy Ask-AI workloads on customer data.
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