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qualityA Model Context Protocol server that integrates with Linear, enabling AI assistants to create, update, search, and comment on issues for project management and issue tracking.
Last updated -
5
6
Python
Apache 2.0
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Why this server?
This server is a direct integration with Linear, enabling AI assistants to create, update, search, and comment on issues for project management and issue tracking.
Why this server?
This server can allow an AI assistant to check the status of the 'dark-mode' flag in the app.
Why this server?
This server helps create and manage projects, epics, user stories, tasks, issues, and sprints.
Why this server?
This server allows integration with Atlassian products (Confluence and Jira) that supports both Atlassian Cloud and Server/Data Center deployments, which could be used to store information on the Linear app.
Why this server?
This server enables AI models to interact with HubSpot CRM data and operations through a standardized interface while providing a centralized shared space for teams to share conversation summaries in real time, in relation to the usage of Linear app.
Why this server?
Enables interaction with Linear resources through an MCP interface, offering functionality for issue management and resource retrieval with rate limiting and error handling support.
Why this server?
This MCP can run kubernetes commands with a given kubeconfig and provide interpretation of the commands. It could potentially be used to manage a kubernetes deployment of the linear app.
Why this server?
This server helps generate high-quality images with Luma's models. It can be used to generate mock ups or images for the linear app.
Why this server?
AI-driven task management application that operates via MCP, enabling autonomous creation, organization, and execution of tasks with support for subtasks, priorities, and progress tracking. The LLM can use the tasks to keep track of a linear project.