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MCP Integrations Linear
MCP & AI Agent Integration

Linear
automation.

8 AI agent actions for Linear — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Linear to create tasks, update project status, and coordinate work across teams automatically. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
8
actions
100%
governed
<200ms
latency
8
AI agent actions
5
Read operations
3
Write operations
0
High-risk actions (approval gated)
Productivity Linear is a Productivity integration — use it to automate tasks, projects, and team workflows from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Linear.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Current User
linear:get_current_user
Retrieve rich context about the authenticated Linear user, including core profile fields, recent timestamps, direct team memberships, and high-level organization settings. Returns the user object, a paginated team list (with names, keys, cycle configs, etc.), associated team memberships, and organization metadata such as auth defaults and SCIM/SAML flags. Use this when your workflow or agent needs to understand who is currently authenticated, which teams they belong to, or what workspace policies might influence subsequent Linear actions. See Linear's GraphQL viewer docs here.
Read Low risk
Get Issue
linear:get_issue
Retrieves a Linear issue by its ID. Returns complete issue details including title, description, state, assignee, team, project, labels, and timestamps. Uses OAuth authentication. See Linear docs for additional info here.
Read Low risk
Get Teams
linear:get_teams
Retrieves all teams in your Linear workspace. Returns array of team objects with details like ID, name, and key. Supports pagination with configurable limit. Uses OAuth authentication. See Linear docs for additional info here.
Read Low risk
List Projects
linear:list_projects
List projects in Linear
Read Low risk
Search Issues
linear:search_issues
Searches Linear issues by team, project, assignee, labels, state, or text query. Supports pagination, ordering, and archived issues. Returns array of matching issues. Uses OAuth authentication. See Linear docs for additional info here.
Read Low risk
Create Issue
linear:create_issue
Creates a new issue in Linear. Requires team ID and title. Optional: description, assignee, project, state. Returns response object with success status and issue details. Uses OAuth authentication. See Linear docs for additional info here.
Write Medium risk
Create Project
linear:create_project
Create a project in Linear
Write Medium risk
Update Issue
linear:update_issue
Updates an existing Linear issue. Can modify title, description, assignee, state, project, team, labels, priority, and dates. Returns updated issue details. Uses OAuth authentication. See Linear docs for additional info here.
Write Medium risk
MCP & Runtime API

Call Linear
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Linear actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

linear:get_current_user READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "linear:get_current_user",
    "args": {},
    "execution_id": "agent-001"
  }'
linear:create_issue WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "linear:create_issue",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Linear.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Linear data
Call linear:get_current_user via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Linear
Dry-run validates linear:create_issue before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Task or project event
Update status automatically
Notify assignees
Sync across tools
How it works

Every Linear action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Linear — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Linear action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Linear action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Linear works best
alongside these.

Build multi-step workflows that connect Linear to the rest of your stack. All governed. All audited.

Asana Jira Notion Github Slack
Linear integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Linear in minutes, dry-run every action before it touches production, full audit trail on everything.

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