Manage Jira, Confluence, and Compass via the official Atlassian Rovo MCP.
Linear
Manage Linear issues, projects, and cycles from AI context.
Quick answer
What it does
Provides access to Linear projects, issues, cycles, teams, and comments via the Linear API.
Best for
- Bug-to-issue creation
- Project status updates
- Sprint planning
- Issue triage
Not for
- Non-Linear project management
- Large enterprise Jira workflows
Setup recipe
- 1
Install
No install snippet available yet — see the project’s README for setup instructions.
- 2
Set required secrets
Set
LINEAR_API_KEYin your shell environment before launching your MCP client. - 3
Try a minimum working prompt
Create a well-formed Linear issue
Create a Linear issue in the `Engineering` team with title "Follow up on MCP redesign review", label `backend`, priority medium, and due date this Friday. Include a short description pointing to the GitHub PR URL I will paste after you confirm.Tested with: Claude Desktop, Cursor.
Tools & permissions
Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.
Security & scope
- Access scope
- Read + write
- Sandbox
- OAuth 2.1 against the authenticated Linear user; the agent acts as that user. Scope is whatever the OAuth grant was approved for.
- Gotchas
- Issues created by the agent appear under your Linear identity, not an "agent" identity.
- Be explicit about team / project in prompts — the agent picks defaults silently otherwise.
Agent prompt pack
— copy into Claude, Cursor, or ChatGPT.Recommend the best MCP servers for [task: e.g. project management work] in [client: Claude]. Constraints: - Prefer tools that are [official | open-source | read-only] — pick what matters for my use case. - Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport]. - Return at most 3 picks, ranked. For each pick include: 1. One-sentence rationale. 2. The ready-to-paste install snippet for my client. 3. Any required secrets I need to create before installing. Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-project-management
Compare Linear MCP vs [GitHub MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"]. Judge them on: - Setup time and complexity (what a new user hits first). - Auth model (none / API key / OAuth 2.1) and credential risk. - Transport (stdio / Streamable HTTP / SSE) and where the server runs. - Required secrets and the blast radius if they leak. - Operational risk in an unattended agent loop. - Which one is "good enough" for a weekend prototype vs. production. End with one sentence: which should I pick for my scenario, which is: [my scenario]. References: - https://top-mcps.com/mcp/linear - top-mcps.com listing for GitHub
Install the Linear MCP server for my [client: Claude] at the default config path for that client. Use the exact install snippet published at https://top-mcps.com/mcp/linear (fetch https://top-mcps.com/mcp/linear.json for the canonical server.json if you can read URLs). Before finishing: 1. Create the required secrets (LINEAR_API_KEY) and put them in the appropriate env block — do not hard-code them. 2. Restart or reload the client so it picks up the new server. 3. Verify the server is connected (green / running state) and at least one tool is listed. 4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry. Confirm when done and list the tools the server now exposes.
Frequently asked questions
What changed
— 2 updates tracked.Refreshed install snippets and fact sheet; verified for 2026.
Initial directory listing.
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