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Projects & productivity integration

Linear MCP integration for AI agents

Insiro connects AI agents to Linear MCP so they can act in it under your rules. Linear MCP is Linear's interface for managing issues, projects, comments, and planning objects within a workspace. It centralizes planning data and simplifies tracking, prioritization, and collaboration across teams. Every Linear MCP action runs through Insiro's governed gateway, using each person's own connection (OAuth).

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What can AI agents do with Linear MCP?

With Insiro, agents can create and update tasks from requests, summarise progress and blockers for a weekly update, move work between stages when conditions are met and assign owners and due dates, all inside the permissions you set for Linear MCP.

  • Create and update tasks from requests.
  • Summarise progress and blockers for a weekly update.
  • Move work between stages when conditions are met.
  • Assign owners and due dates.

A journey through Insiro

Linear MCP logo Linear MCPInsiroSlack

Example: Linear MCP → Insiro → Slack to post a weekly progress digest to the team channel. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Linear MCP

Can Insiro AI agents use Linear MCP?

Yes. Insiro connects AI agents to Linear MCP through its governed MCP gateway. Agents can create and update tasks from requests and summarise progress and blockers for a weekly update using each person's own Linear MCP access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Linear MCP?

Linear MCP connects with OAuth. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Linear MCP read-only for agents?

Yes. In Insiro Governance, set Linear MCP to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

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Put Linear MCP to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

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