Linear Issues MCP Server

The Linear Issues MCP Server is a lightweight, read‑only bridge between language models and the Linear issue tracking system. By exposing two focused tools— and —the server allows AI assistants to pull up-to-date issue data without requiring developers to write custom API wrappers. This solves the common pain point of integrating task trackers into conversational agents, enabling developers to give Claude or other assistants instant access to project status, bug reports, and stakeholder discussions.

At its core, the server authenticates against Linear using a simple API key or OAuth token. Once authenticated, it translates natural language queries into structured API calls that return JSON representations of issues and their comment threads. Because the server is read‑only, it guarantees that AI interactions cannot inadvertently modify or delete data, making it safe for production environments where accidental changes could be costly.

Key capabilities include:

• Targeted issue retrieval: Fetch core metadata (title, status, assignee) by ID or URL with .
• Full conversation context: Pull the entire comment history, attachments, and related metadata via .
• Zero‑code integration: The MCP protocol handles tool discovery, invocation, and response formatting automatically, so developers only need to configure the server in their AI client’s settings.
• Secure token handling: Tokens are supplied through environment variables, keeping credentials out of source code and version control.

Typical use cases span agile teams, support desks, and project managers. For example, a product owner can ask an assistant, “What’s the current status of ENG‑123?” and receive a concise summary. A developer can request, “Show me all comments on the issue at this URL,” and instantly review stakeholder feedback. In continuous integration pipelines, automated agents could query Linear to verify that all critical bugs are resolved before a release.

Integrating the server into an AI workflow is straightforward: add it to the client’s MCP configuration, provide a Linear token, and restart. The assistant then automatically gains access to the two tools whenever it encounters a relevant prompt. This seamless addition eliminates repetitive boilerplate code, accelerates feature delivery, and keeps the team’s knowledge base live and searchable through natural language.

Overall, the Linear Issues MCP Server offers a secure, developer‑friendly way to embed real‑time issue data into AI assistants, enhancing productivity and ensuring that project information is always within conversational reach.