Linear MCP Server: Governed AI Access

Linear's MCP server includes 21 different actions available to any connected model or AI agent. When registered with Barndoor, you can ensure centralized governance, visibility, and control across every AI agent your team uses.

Tools 21
Capabilities Create, Read, Update
Category Project & Task Management
Type Official Remote

What can AI agents do with the Linear MCP server?

Tools Available

• Create Issue
  • create: Creates a new issue in Linear. Returns the created issue ID. Requires title and team at minimum.
• Get Issue
  • read: Retrieves a specific issue by ID or identifier. Returns full issue details including description and comments. Requires issue ID.
• Update Issue
  • update: Updates an existing issue's properties. Can modify status, assignee, or priority. Requires issue ID.
• List Issues
  • read: Lists issues from Linear with advanced filtering options. Returns issue details including title, status, and assignee.
• List Projects
  • read: Lists projects from Linear. Returns project details including status and progress. Supports filtering by team.
• Create Project
  • create: Creates a new project in Linear. Returns the project ID. Requires name and team.

See full list →

Use cases for Linear

• Issue Management
  • "Create and update issues"
  • "List and filter issues by criteria"
  • "Retrieve full issue details and status"
• Project Tracking
  • "Create and update projects"
  • "Track project progress and milestones"
  • "Manage project timelines and status"
• Team Collaboration
  • "Add comments to issues"
  • "View team and user details"
  • "Browse workflow states and labels"
• Knowledge Access
  • "Search Linear documentation"
  • "Browse and retrieve documents"
  • "List cycles and sprint planning"

What are the risks of using the Linear MCP without an AI gateway?

• Uncontrolled reads — AI agents can pull data out of Linear with no visibility into what was accessed.
• Ungoverned writes — agents can create or modify records in Linear with no approval step.
• Destructive actions — agents can delete or overwrite Linear data with no approval gate or audit trail.
• Native OAuth is all-or-nothing — connecting directly grants an agent everything your user account can do in Linear, with no per-tool scoping.

Why connect Linear with the Barndoor AI gateway?

Barndoor MCP Governance is the gateway between your AI agents and the tools they use.

• Centralized MCP management — One place to manage and control every MCP server across the organization.
• Universal connection — One universal URL works across every AI provider your team uses.
• Fine-grained access controls — Set access policies for how AI is connecting with Linear based on human identities, agent profiles, tool-access, context, and data fields.
• Protect sensitive data — Keeps sensitive data from reaching a model or AI agent with PII detection, masking, tokenization, redaction, and more.
• Observability — Real-time reporting and dashboards provide visibility into what AI is doing with Linear.
• Enterprise-grade security — Stay compliant with audit trails and logging.

Works with every AI client

ChatGPT](/content/integrations/chatgpt/index.html)

Claude Code](/content/integrations/claude-code/index.html)

Claude Desktop](/content/integrations/claude-desktop/index.html)

Codex](/content/integrations/codex/index.html)

CrewAI](/content/integrations/crewai/index.html)

Cursor](/content/integrations/cursor/index.html)

Gemini CLI](/content/integrations/gemini-cli/index.html)

GitHub Copilot](/content/integrations/github-copilot/index.html)

Google ADK](/content/integrations/google-adk/index.html)

LangChain](/content/integrations/langchain/index.html)

Microsoft Copilot](/content/integrations/microsoft-copilot/index.html)

OpenClaw](/content/integrations/openclaw/index.html)

Getting started with Linear in Barndoor

1. Connect the Linear MCP server once
2. Define your policies
3. Go live across every AI client

See the full setup guide →

Frequently asked questions

• What is MCP?
  MCP (Model Context Protocol) is the open standard that lets AI models and agents connect to external tools and data sources through a common interface. Linear is an MCP server that exposes a defined set of tools an AI agent can call.

• Is Barndoor secure?
  Yes. Barndoor is SOC 2 Type II compliant and enforces fine-grained access control.

• How are Linear schema changes handled?
  Barndoor tracks tool and schema changes on Linear. New or changed tools inherit deny-by-default access until approved.

• Do you integrate with my identity provider?
  Barndoor authenticates through your OIDC or SAML 2.0 identity provider.

• Do users have to enter tokens manually?
  No. Barndoor brokers the OAuth connection to Linear centrally.

• How does Barndoor integrate with AI agent identities?
  Barndoor gives each AI agent its own governed identity called an AgentProfile.

• Can I deploy custom-built MCP servers?
  Yes. Barndoor supports customer-built MCPs.

• Can I set and audit tool-level access across teams?
  Yes. Barndoor's access control is fine-grained, down to the agent, team, group, user, MCP server, and specific tool call.

• How can I get started with Linear and Barndoor?
  Connect Linear once, define your access policies, and go live across every AI client. Setup takes three steps.

Connect Linear to your AI agents with Barndoor.

Join AI-forward enterprises using Barndoor MCP Governance to manage and secure Linear integrations with AI and AI agents.