Connect AI models and agents to your Linear data securely and programmatically.
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89 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Enables powerful AI automation within Linear workflows
Biggest con
Requires technical setup and configuration for each integration
TL;DR - Linear MCP
- Provides a standardized interface for AI models to interact with Linear data.
- Enables AI to find, create, and update Linear issues, projects, and comments.
- Integrates with popular AI clients and development tools like Claude, Cursor, and VS Code.
Pricing: Free forever
Best for: Individuals & startups
4.5/5 across review platforms
What is Linear MCP?
The Model Context Protocol (MCP) server provides a standardized and secure interface for AI models and agents to interact with your Linear data. It allows compatible AI tools to access, create, and update Linear objects such as issues, projects, and comments directly. This server is centrally hosted and managed, adhering to the authenticated remote MCP specification, ensuring secure data exchange.
This tool is designed for developers, AI engineers, and teams leveraging AI to automate or enhance their Linear workflows. By integrating with the MCP server, AI models can become active participants in project management, issue tracking, and team collaboration within Linear, enabling intelligent automation and reducing manual effort. It streamlines the process of bringing AI capabilities into your existing Linear environment.
The MCP server facilitates seamless integration with popular AI clients and development environments, including Claude, Cursor, Codex, Jules, Visual Studio Code, v0 by Vercel, Windsurf, and Zed. It supports various authentication methods, including OAuth 2.1 with dynamic client registration and direct API key/OAuth token usage, offering flexibility for different integration scenarios.
Available on: Web
Pros & Cons
Pros
- Enables powerful AI automation within Linear workflows
- Offers a standardized and secure way for AI to interact with project data
- Supports a wide range of popular AI clients and development tools
- Provides flexible authentication options including OAuth and API keys
- Centrally hosted and managed, simplifying deployment
Cons
- Requires technical setup and configuration for each integration
- Functionality is currently focused on issues, projects, and comments, with more "on the way"
- Specific client setup instructions vary and may require command-line interaction
Ratings Across the Web
4.5(89 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Standardized Model Context Protocol (MCP) interfaceSecure access to Linear data for AI modelsAbility to find Linear issues, projects, and commentsAbility to create Linear issues, projects, and commentsAbility to update Linear issues, projects, and commentsOAuth 2.1 with dynamic client registration for authenticationSupport for Streamable HTTP transportsDirect API key and OAuth token authentication
Pricing
Free
Linear MCP is completely free to use with no hidden costs.
Reviews
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4.5/5
Across 89 verified user reviews on G2, Capterra
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Linear MCP FAQ
How does Linear MCP enable AI automation within Linear workflows?
Linear MCP provides a standardized and secure interface that allows AI models and agents to interact directly with Linear data. This enables AI tools to access, create, and update Linear objects like issues, projects, and comments, thereby automating project management and issue tracking tasks.
Which teams benefit most from using Linear MCP?
Linear MCP is best suited for developers, AI engineers, and teams that leverage AI to automate or enhance their Linear workflows. It helps integrate AI capabilities into existing Linear environments, reducing manual effort in project management and collaboration.
What kind of Linear data can AI models interact with via Linear MCP?
Currently, AI models can interact with Linear issues, projects, and comments through Linear MCP. The server is designed to expand its functionality to include more Linear object types in the future.
How does Linear MCP compare to LangChain for integrating AI with data?
Linear MCP specifically provides a secure and standardized interface for connecting AI models directly to Linear data, focusing on project management and issue tracking within that platform. LangChain, conversely, is a broader framework designed for developing applications powered by language models, offering more general-purpose data integration capabilities.
Does Linear MCP include a free tier?
Yes, Linear MCP is free to use and does not require a paid plan. It is centrally hosted and managed, simplifying deployment for users.
What are the primary limitations of Linear MCP?
Linear MCP requires technical setup and configuration for each integration, and its functionality is currently focused on issues, projects, and comments. Specific client setup instructions can also vary and may involve command-line interaction.
Can Linear MCP integrate with popular AI development environments?
Yes, Linear MCP facilitates seamless integration with popular AI clients and development environments such as Claude, Cursor, Codex, Jules, Visual Studio Code, v0 by Vercel, Windsurf, and Zed. It supports various authentication methods, including OAuth 2.1 and direct API key usage.
Source: mcp.linear.app