Category · Project management MCP servers
Linear MCP Server: Connect AI Agents to Your Issue Tracker in 2026
The Linear MCP server gives an AI agent direct access to your Linear workspace — creating issues, searching the backlog, updating status and moving work through cycles without you opening the app. For teams that already run engineering in Linear, it turns a coding agent into something that can file its own follow-ups and triage inbound bugs. This page covers what the server does, how it compares to other project management MCP servers, and what to install alongside it.
What this category covers
Project management MCP servers expose an issue tracker as a set of callable tools, so an AI agent can read and write work items in the same conversation where it writes code. The Linear MCP server is the fastest of these in practice, because Linear's data model is small — issues, projects, cycles, teams — which means fewer tools and less ambiguity for the model to resolve. Typical uses are triage (read an error report, file a Linear issue with the right team and label), planning (turn a spec into a set of issues), and status (summarise what moved this cycle). The main design decision when adopting one is scope: give the agent read access first and add write scopes once you trust the triage quality.
Buying guide
Install the Linear MCP server if Linear is your source of truth for engineering work. Pair it with the GitHub MCP server so the agent can connect a pull request to the issue it closes, and with the Sentry MCP server if you want triage driven by real errors rather than manual reports. Start read-only: let the agent search and summarise for a week before granting issue creation, because the failure mode of an over-eager agent is a backlog full of near-duplicate tickets rather than anything dangerous. If your organisation runs Jira or Asana instead, the equivalent servers are more capable but heavier — Asana MCP in particular exposes 44 tools, which is powerful but gives a model more room to pick the wrong one.
The Tools, Ranked
Create, update and search Linear issues and projects. Open source and free, with the lightest tool surface of any tracker MCP — which is why agents make fewer mistakes with it.
The official V2 server with 44 tools spanning tasks, projects, goals, portfolios and teams. The most comprehensive project management MCP available.
Create, update, search and transition Jira issues, read sprint boards and query backlogs. The right pick if your organisation is standardised on Atlassian.
Atlassian's official remote server covering Jira, Confluence, Bitbucket and Compass with OAuth rather than API keys.
Full access to boards, items, groups, columns and updates for teams running work management rather than pure engineering tracking.
The natural companion to Linear MCP — read and write issues, pull requests and repository metadata so an agent can link code to tickets.
Pull error reports, stack traces and trends into the agent's context, so Linear issues get filed from real production data rather than guesses.
Search and write Confluence pages, useful when the spec that drives a Linear issue lives in a wiki.
Reaches 7,000 plus apps, a practical fallback for connecting Linear to tools that have no MCP server of their own.
An aggregator exposing tools for 250 plus SaaS platforms behind one server and one OAuth flow, including several trackers.
Read channels and post messages, closing the loop so a triaged Linear issue can be announced where the team actually reads.
Read and write Notion pages and databases for teams whose planning lives outside the tracker.