About
The Linear MCP Server exposes Linear’s issues, projects, teams, and related resources to AI assistants via the Model Context Protocol. It enables creating, updating, and querying Linear entities for streamlined project management workflows.
Capabilities
Linear MCP Server Overview
The Linear MCP Server bridges Claude and other AI assistants with the Linear project management platform. By exposing a set of well‑defined tools—such as retrieving teams, searching issues, and creating or updating tasks—it lets developers embed Linear’s rich workflow directly into conversational AI workflows. This eliminates the need for custom API wrappers and gives assistants a consistent, secure interface to interact with Linear data.
For developers building productivity bots or automated planning systems, the server solves a common pain point: integrating an external task tracker without exposing credentials or handling OAuth flows manually. Once the server is configured with a Linear OAuth token, any AI client can invoke high‑level operations through simple JSON calls. This abstraction keeps the assistant’s logic focused on intent and reasoning, while the server manages authentication, pagination, and error handling.
Key capabilities include:
- Team discovery () to enumerate organizational units and their metadata.
- Issue search () with filtering, pagination, and full GraphQL support for complex queries.
- Cycle and project listing (, ) to surface planning artifacts.
- Issue lifecycle management (, ) enabling the assistant to create or modify work items on demand.
These tools empower a range of real‑world scenarios. A project manager could ask the assistant to “create a new issue for the upcoming sprint” and have it materialize in Linear automatically. A developer could request “show me all unresolved tasks for the QA team” and receive a curated list. In continuous integration pipelines, an assistant could update issue statuses based on test results or deploy notes.
Integration with AI workflows is straightforward: the MCP server registers itself in the client’s configuration, and tools are invoked via the standard call. Because the server handles all GraphQL interactions, developers can focus on designing conversational flows rather than managing API intricacies. Its modular design also means additional Linear features can be added later without disrupting existing tooling.
Overall, the Linear MCP Server delivers a clean, secure, and developer‑friendly bridge between AI assistants and Linear’s powerful issue tracking ecosystem. It reduces boilerplate, centralizes authentication, and provides a consistent interface that scales from simple task creation to complex project analytics.
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