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Linear MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Linear MCP or direct API to find issues, create and update issues, manage projects, and post comments through natural language.

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Dcr Oauth

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.

67 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Linear MCP
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TOOLS

Supported Tools

Every Linear MCP action and event your agent gets out of the box.

Create attachment

Deprecated fallback for tiny files only.

Create attachment from upload

Link an already-uploaded Linear assetUrl to an existing issue as an attachment.

Create initiative label

Create a new Linear initiative label

Create issue label

Create a new Linear issue label

Delete attachment

Delete an attachment by ID

Delete comment

Delete a Linear comment.

Delete customer

Delete a customer in Linear

Delete customer need

Archive a customer need in Linear

Delete diff comment

Delete a comment or persisted draft from a Linear diff

Delete status update

Delete (archive) a project or initiative status update.

Extract images

Extract and fetch images from markdown content.

Get agent skill

Retrieve a Linear Agent skill by ID, including its full markdown instructions.

Get attachment

Retrieve an attachment's content by ID.

Get diff

Exact lookup for a Linear diff.

Get diff threads

Exact lookup for diff threads and the authenticated user's drafts.

Get document

Retrieve a Linear document by ID or slug

Get initiative

Retrieve detailed information about a specific initiative in Linear

Get issue

Retrieve detailed information about an issue by ID, including attachments, git branch name, and active Triage Intelligence suggestions when the issue is in triage

Get issue status

Retrieve detailed information about an issue status in Linear by name or ID

Get milestone

Retrieve details of a specific milestone by ID or name

Get project

Retrieve details of a specific project in Linear

Get release

Retrieve details of a release by ID or slug.

Get release note

Retrieve release notes by ID or slug, including markdown content.

Get status updates

List or get project/initiative status updates.

Get team

Retrieve details of a specific Linear team

Get template

Retrieve a Linear template by ID or name: the content it pre-fills, the ids it applies, its sub-issues, and its form fields.

Get user

Retrieve details of a specific Linear user

Get workspace

Retrieve the connected Linear workspace

List agent skills

List Linear Agent skills available to the authenticated user.

List comments

List comments on a Linear issue, project, initiative, document, project milestone, or project/initiative status update.

List customers

List customers in the user's Linear workspace

List cycles

Retrieve cycles for a specific Linear team

List diffs

List Linear diff pull requests visible to the authenticated user

List documents

List documents in the user's Linear workspace

List initiative labels

List available initiative labels in the Linear workspace

List initiatives

List initiatives in the user's Linear workspace

List issue labels

List available issue labels in a Linear workspace or team

List issues

List issues in the user's Linear workspace, including active Triage Intelligence suggestions for issues in triage.

List issue statuses

List available issue statuses in a Linear team

List milestones

List all milestones in a Linear project

List project labels

List available project labels in the Linear workspace

List projects

List projects in the user's Linear workspace

List release notes

List release notes in the workspace, optionally filtered by pipeline or covered release.

List release pipelines

List release pipelines in the workspace.

List releases

List releases in the workspace, with optional filtering by pipeline, stage, version, and text.

List teams

List teams in the user's Linear workspace

List templates

List the Linear issue, project, and document templates available to the authenticated user.

List users

Retrieve users in the Linear workspace

Merge diff

Merge a Linear diff or add it to the repository's merge queue

Prepare attachment upload

Prepare a direct Linear file upload for an existing issue.

Resolve diff thread

Resolve or reopen a top-level comment thread on a Linear diff

Save comment

Create or update a comment on a Linear issue, project, initiative, document, project milestone, or project/initiative status update.

Save customer

Create or update a Linear customer.

Save customer need

Create or update a customer need (request) in Linear.

Save diff comment

Create, reply to, or edit a comment or persisted draft on a Linear diff.

Save document

Create or update a Linear document.

Save initiative

Create or update a Linear initiative.

Save issue

Create or update a Linear issue.

Save milestone

Create or update a milestone in a Linear project.

Save project

Create or update a Linear project.

Save release

Create or update a release.

Save release note

Create or update release notes.

Save status update

Create or update a project/initiative status update.

Search documentation

Search Linear's documentation to learn about features and usage

Share issue

Share an issue with a workspace user who cannot otherwise access it.

Submit diff review

Approve a Linear diff, request changes, or submit a review comment

Unshare issue

Remove a workspace user's shared access to an issue.

SETUP GUIDE

Connect Linear MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["linear_mcp"],
  mcp: true,
});
Create a session scoped to Linear MCP and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List all open issues assigned to me",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Linear MCP request
SETUP GUIDE

Connect Linear MCP API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["linear_mcp"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Linear MCP
3

Run Linear MCP tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all open issues assigned to me" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Linear MCP tool calls through the session, and print the final answer

Why Use Composio?

AI Native Linear MCP Integration

  • Supports both Linear MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Linear MCP data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Linear MCP access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Linear MCP
  • Scoped, least privilege access to Linear MCP resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Linear MCP with any AI Agent Framework

Choose a Framework you want to connect Linear MCP with

ChatGPT logo

ChatGPT

Use Linear MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Linear MCP with Claude Cowork

Hermes logo

Hermes

Use Linear MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Linear MCP with Atomic Agent

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Linear MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Linear connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a Linear account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Linear as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Linear. If Linear lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Linear at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Linear connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio's free plan includes 100,000 tool calls per month with no credit card, which covers most personal Linear use. Paid plans add higher limits and team features. Your Linear plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Linear accounts).

With Composio, you connect Linear once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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