Linear
Free foreverlinear · Productivity
45k installs
The Linear MCP server brings Linear's fast, opinionated issue tracker into any AI agent workflow through a single hosted MCP endpoint. Instead of wiring up bespoke integrations for Claude, GPT, or Gemini separately, teams connect Linear once through BusinessMCP and expose the same set of tools — create issue, update status, assign teammate, search backlog — to every agent they use. This is especially useful for engineering and product teams who want an AI assistant to triage bugs, draft sprint plans, or summarize project velocity without a human manually copying data between chat windows and Linear's UI.
Because BusinessMCP.com centralizes this Linear MCP server alongside a company's other tools, databases, and revenue sources, an agent querying /api/mcp doesn't just see Linear in isolation — it can cross-reference issue volume against ad spend, correlate support tickets with feature requests logged in Linear, or pull sprint status into a broader business-intelligence dashboard. That's the core value of pairing a project management integration with Linear against a unified MCP + BI layer: project data stops being siloed and becomes part of the same context window an agent uses to reason about the whole business. This is a strong fit for teams evaluating Linear MCP integration for AI agents, Linear API automation via MCP, or Claude/GPT-powered issue triage for software teams.model-agnostic access means the same hosted connection works whether the requesting agent is Claude Desktop, a custom GPT action, or a Gemini-based internal tool, so there's no vendor lock-in on the AI side.
Typical setups use this server to let an agent read the current sprint, flag stale issues, auto-triage newly filed bugs by labeling and assigning them, or generate a plain-language status report pulled straight from live Linear data. Because the connection is cookieless and GDPR-friendly, it's suitable for regulated teams that need to expose project management data to AI tooling without introducing tracking or compliance headaches. Engineering managers, founders, and ops leads use it to keep AI copilots in sync with real workflow state rather than stale exports or manual updates.
Setup is straightforward: authenticate Linear once inside BusinessMCP, and the resulting tools become available through your company's single /api/mcp endpoint using a Bearer mcph_* key — no separate OAuth dance per agent, no per-tool API key sprawl. Teams already running other productivity or engineering tools through BusinessMCP can combine this Linear connector with issue-adjacent systems like Jira, Confluence, or Notion to give agents a fuller picture of planning, documentation, and execution across the stack, all surfaced through the same hosted MCP server and business-intelligence dashboard.
Just say it in a thread
No configs, no docs. Once connected, these are the kinds of messages your agents act on.
"Create a new linear issue with title, description, labels, and assignee — and give me the highlights."
"Move an existing issue to a new workflow state such as in progress or done for me, then post a summary in the thread."
"Search linear issues by keyword, label, assignee, or project and flag anything that needs my approval."
What teams use it for
- AI agent auto-triages newly filed bugs by labeling, prioritizing, and assigning them to the right teammate
- Generate a plain-language sprint status report by querying live Linear issue and project data
- Cross-reference Linear issue volume with support tickets or ad performance data in the unified BI dashboard
- Let a Claude, GPT, or Gemini agent create and update issues directly from a chat conversation or support ticket
- Flag stale or blocked issues automatically and surface them in daily standup summaries
Agent-callable tools
create_issue
Create a new Linear issue with title, description, labels, and assignee.
update_issue_status
Move an existing issue to a new workflow state such as In Progress or Done.
search_issues
Search Linear issues by keyword, label, assignee, or project.
list_projects
Retrieve active projects and their current status or progress.
assign_issue
Assign or reassign an issue to a specific team member.
get_sprint_summary
Summarize open, in-progress, and completed issues for the current cycle.
add_comment
Post a comment on a Linear issue for context or updates.
Your data stays yours
Credentials live in your vault. We route requests — we never store, log, or train on your data.
Works with every AI
Connect once — portable across Claude, GPT, Gemini, and every local agent you run.
Pairs well with
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Frequently asked questions
Does this Linear MCP server require a separate API key for each AI agent?
No — you authenticate Linear once inside BusinessMCP, and every agent (Claude, GPT, Gemini, or custom) accesses it through the same /api/mcp endpoint with a single Bearer mcph_* key.
Can an AI agent create and update Linear issues, not just read them?
Yes, the exposed tools support creating issues, updating status, assigning owners, and managing projects, in addition to read/search operations.
How does this differ from a community Linear MCP connector?
This hosted version is managed by BusinessMCP, combines Linear with your other tools and revenue data in one BI dashboard, and works identically across any AI client without per-agent setup.
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