Linear
The Model Context Protocol (MCP) server provides a standardized interface that allows any compatible AI model or agent to access your Linear data in a simple and secure way.
Linear MCP Server
What it is: The Linear MCP Server provides a secure and standardized interface for AI models and agents to interact with your Linear workspace data. This allows AI to access, find, create, and update objects such as issues, projects, and comments within Linear.
How to use it: The Linear MCP server is centrally hosted and managed by Linear. You connect to it remotely using an MCP client. The primary transport method is Server-Sent Events (SSE).
To connect, you typically configure your MCP client (e.g., Claude, Cursor, VS Code, Windsurf, Zed) with the following details:
- Integration URL (for direct SSE clients):
https://mcp.linear.app/sse - Command (for stdio clients using
mcp-remote):npx -y mcp-remote https://mcp.linear.app/sse
Authentication is handled via OAuth with dynamic client registration, which will typically open a browser window for you to authorize access.
Recommend MCP Servers 💡
medRxiv-mcp-server
Enable AI assistants to search and access medRxiv papers through MCP interface
vectara-mcp
Open source MCP server for Vectara
@modelcontextprotocol/server-gdrive
An MCP server that integrates with Google Drive to enable listing, reading, and searching over files, automatically converting Google Workspace documents to common formats.
filesystem@quarkiverse/quarkus-mcp-servers
An MCP server enabling LLMs to interact with filesystem (list, read, modify files).
@arizeai/phoenix-mcp
Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of LLM applications. Its MCP server provides a unified interface to Phoenix's capabilities, enabling tracing, evaluation, and prompt management.
glean-mcp-server
An MCP server implementation integrating Glean API for Search and Chat functions.
