Linear Integration

The Linear Integration skill connects your team's Linear workspace to any AI agent through a single hosted MCP server, so Claude, GPT, or Gemini can read and write issues, projects, and cycles without you juggling separate API keys or writing custom glue code. Instead of copying issue IDs into a prompt or switching tabs to update a ticket, your agent calls the Linear MCP tools directly — creating issues from a bug report, updating status as work progresses, assigning teammates, or pulling a project's open work items into a standup summary. Because it's exposed through BusinessMCP's unified /api/mcp endpoint with a Bearer mcph_* key, the same Linear connection is available to every model and every app you run, with no per-agent reconfiguration.

This is built for product and engineering teams that want their AI copilots to actually act on project management data, not just talk about it. Typical scenarios include an agent triaging incoming support requests and filing them straight into the right Linear team and project, a release-notes generator pulling completed issues from a cycle, or a planning assistant that cross-references Linear issues with roadmap docs and proposes updates to priority or estimate. Because the integration understands Linear's team, project, and issue hierarchy, agents can be scoped to specific teams or projects, which keeps automated changes contained and predictable rather than sprawling across your whole workspace.

What makes this different from a one-off Linear API script is that it lives inside BusinessMCP's broader business-intelligence layer. Once Linear is connected, its issue and project activity sits alongside your other connected tools, databases, and revenue data in one dashboard — so you can see, for example, how support ticket volume correlates with ad spend or deployment frequency, without stitching together exports. The connection is managed centrally: you authenticate once, apply the same access policy across every agent that talks to it, and rotate or revoke credentials from one place instead of hunting through individual integrations.

Setup is designed to be low-friction for both technical and non-technical teams. Connect your Linear workspace inside the BusinessMCP growth-suite app, or call the hosted MCP endpoint directly from your own backend if you're building a custom agent. The integration is model-agnostic by design, so whether your team standardizes on Claude for planning assistants, GPT for support triage, or Gemini for internal tooling, the same Linear MCP tools work identically across all of them — and because BusinessMCP is cookieless and GDPR-friendly by default, it fits teams operating under stricter data-handling requirements without extra configuration.

For teams evaluating an AI agent Linear integration or a Linear MCP server for the first time, the practical benefit is fewer manual updates and a more reliable source of truth: agents create and update issues with the same structure a human PM would use, and every action is auditable through the same dashboard you use for the rest of your stack. It's a natural companion to other productivity and developer-tooling skills in the catalog, letting you build multi-step workflows — like auto-filing a Linear issue from a GitHub PR comment or a support message — without maintaining separate glue infrastructure for each tool.