MCP server
Linear MCP server
Linear's official hosted MCP server lets AI find, create and update issues, projects and comments, with a read-only endpoint available.
- Official server
- Productivity
Why it matters
What it does and why it matters
Linear is a fast issue tracker popular with software and product teams. Its official hosted MCP server lets an assistant find, create and update issues, projects and comments. A coding assistant can read the issue it is working on, and a product manager can turn feedback into issues without leaving the conversation.
Linear documents what the server can do but does not publish exact tool names, so none are listed here. A read-only endpoint is available, which we use for reporting and planning questions. For issue creation, we agree on labels and templates first so AI-created issues match the team's standards.
It pairs naturally with GitHub for development work and with Slack or Intercom for turning feedback into planned work. Because sign-in follows each user's own Linear account, permissions stay consistent with the app.
Use cases
Best business use cases
Coding context
Project status
Comments
Backlog grooming
Tools
Available tools
Tool names as published by the maintainer at review time. Versions change, so check the repository for the current list.
Docs say the server can find, create and update issues, projects and comments. Linear does not publish exact tool identifiers.
Read and write: Read and write for issues, projects and comments; a read-only endpoint is available.
Workflows
Example workflows
Feedback to issues
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1
Paste a batch of customer feedback.
-
2
The assistant groups it by theme.
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3
It searches for existing issues.
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4
It drafts new issues for gaps.
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5
A product manager approves them.
Weekly project summary
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1
Use the read-only endpoint.
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2
Ask for this week's progress on a project.
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3
The assistant lists completed and blocked issues.
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4
It drafts a summary.
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5
The lead shares it.
Prompts
Example prompts
“Summarize progress on the Billing project this week.”
“Create issues for these three bugs with the Bug label.”
“Find open issues that look like duplicates.”
Setup
Installation and configuration
Examples for Claude Desktop and Claude Code. Replace the placeholder values with your own keys, and store secrets outside version control.
Claude Desktop: claude_desktop_config.json
{
"mcpServers": {
"linear": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.linear.app/mcp"
]
}
}
}
Claude Code: terminal
claude mcp add --transport http linear-server https://mcp.linear.app/mcp
- Hosted server: https://mcp.linear.app/mcp (read-only: https://mcp.linear.app/mcp/readonly).
- Needs: OAuth 2.1 with dynamic client registration, or a Linear API key or bearer token in the Authorization header..
Security
Security considerations
-
Limit workspaces
Connect with an account that sees only the workspaces or projects a task needs.
-
Mark AI-created items
Use a label or naming rule so items created by the assistant are easy to spot and review.
-
Guard deletes
The server can update issues. Use the read-only endpoint where possible.
-
Untrusted text
Task descriptions and comments can contain misleading text. Treat them as data.
Related servers
Servers that pair well with it
Jira
Atlassian's official Rovo MCP server lets AI search, create and update Jira issues and search, read and create Confluence content.
GitHub
GitHub's official MCP server lets AI read repositories, search code, manage issues and pull requests and, when allowed, change files.
Notion
Notion's official hosted MCP server lets AI search and read pages, create and update pages and databases, query data and add comments.
Keep exploring
Solutions and services that use it
Related services
View all related services- MCP integration Connect AI assistants to your CRM, files, databases and tools through Model Context Protocol servers, with safe permissions.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- Internal tools Custom software for your own team: trackers, approval flows and back-office systems that replace spreadsheets.
- Business process automation Map a process that runs on email and spreadsheets and turn it into software with clear steps and owners.
- Automation and Integrations CRM, payment and API integrations, MCP connections and workflows that stop people copying data by hand.
- MVP development A first version with just enough features to put in front of real users and learn what to build next.
Solutions
View all solutions- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- Approval workflows Requests, approvals and reminders in one place, with clear owners and deadlines instead of long email threads.
- Compliance tracking Track filing deadlines, licenses and obligations in one place, with reminders and AI summaries of relevant rule changes.
- Onboarding automation Every new hire gets the right accounts, documents, training and check-ins on time, tracked in one place.
- AI-assisted content workflows Briefs, first drafts, edits and repurposing in a workflow where people set the angle and approve every word.
- Scheduling and drafting automation Turn one piece of content into posts for each channel, schedule them and track results, with approval before anything goes out.
Industries
View all industries- SaaS and startups MVPs, subscription billing, AI features, multi-tenant platforms and scaling support for founders and product teams.
- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
- Property management Tenant portals, maintenance tracking, owner statements and inbox automation for property managers.
- Tax and compliance services Client portals, document checklists, case queues and deadline tracking for tax preparers and compliance firms.
- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
Case studies
View all case studies- Facility management platform Every request, inspection and cost for every building now lives in one place, with a clear owner and status.
- Payroll system for an IT services company Payroll is calculated from recorded inputs, reviewed once and sent as payslips in a single batch, with every change logged.
- Tax filing service platform Clients upload documents and see where their case stands, and staff work from one queue with deadlines and reminders.
Guides and articles
View all guides and articles- AI automation vs traditional automation How rule-based automation and AI automation differ, where each fits and how to combine them.
- How to build an AI workflow with MCP servers Plan, connect and test an AI workflow that uses MCP servers, from a single task to a reliable process.
- What is AI-accelerated development? How software teams use AI to plan, code, test and document faster, and where people still make every decision.
- Where AI helps in development, and where it does not An honest map of the development tasks AI speeds up and the ones that still need experienced people.
- How to measure the ROI of AI automation Measure the return on AI automation with a baseline, the right metrics and honest accounting of costs.
- How to connect AI to your CRM Connect AI assistants to HubSpot, Salesforce or other CRMs safely, with the tasks worth automating first.
AI models
View all ai models- Speech Speech-to-text and text-to-speech models for transcription, call analysis and voice assistants.
- Deepgram Nova-3 and Flux Deepgram's speech-to-text models: Nova-3 for general transcription in 60+ languages, and Flux for voice agents with built-in end-of-turn detection.
- Mistral Medium 3.5 A newer open-weight Mistral model for agent and coding work, with image input, tool calling, structured outputs and a 256K window.
- GPT Transcribe OpenAI's current speech-to-text model, replacing Whisper and the GPT-4o transcribe models, with streaming and keyword or language hints.
Glossary terms
View all glossary terms- Workflow automation Workflow automation uses software to move work through a series of steps, such as routing, approvals and notifications, based on rules and events.
- AI copilot An AI copilot is an assistant built into a tool people already use, which suggests, drafts and explains while the person stays in control.
- Automation Automation is using software to perform a task or process with little or no human effort each time it runs.
- AI agent An AI agent is software that uses a language model to plan steps, call tools and act toward a goal, instead of only answering one question.
- Business process automation Business process automation uses software to run a multi-step business process, such as approvals or onboarding, from start to finish with less manual work.
- Claude Code Claude Code is Anthropic's agentic coding tool, which works in a developer's terminal, IDE, desktop app or browser to read code, run commands and make changes.
FAQ
Questions people ask us
Have a question that is not here? Ask us directly.
Yes. Linear hosts it.
Yes. A read-only endpoint is available.
Linear describes the capabilities but does not publish exact tool names.