AIBase
EN
Explore
Linear MCP Server Teu
L

Linear MCP Server Teu

The MCP server for Linear projects provides an interface for AI assistants to access Linear project management features.
Developer tools#Project management#AI integration#Linear interface Remote.TypeScript
2 points
8.4K
Open Site

Overview

Installation

Content Details

Alternatives

What is the Linear MCP Server?

The Linear MCP Server is a bridge connecting AI assistants to the Linear project management platform, allowing AI to read and manipulate project data in Linear through standard protocols. It supports various functions such as creating tasks, managing projects, and querying team work.

How to use the Linear MCP Server?

You can run the service directly through the command line or integrate it into an AI assistant environment such as Claude Desktop. After the service is started, the AI assistant can access your Linear data through the standard protocol.

Applicable scenarios

Suitable for teams that need AI assistants to help manage project progress, automatically create tasks, generate project reports, or quickly query project information.

Main features

Data access
Provides read access to all core data in Linear, including issues, projects, teams, roadmaps, etc.
Task management
Supports complete task operations such as creating and updating tasks, and adding comments.
Project management tools
Allows creating and managing projects, associating tasks with projects, and managing project states.
Intelligent search
Provides comprehensive cross - entity search capabilities to quickly find the required information.
Template support
Includes commonly used templates such as issue reports and feature requests to improve work efficiency.
Advantages
Seamlessly connects AI assistants to the Linear platform, expanding the project management capabilities of AI.
Supports all core functions of Linear, with complete functionality.
Provides standardized interfaces, making it easy to integrate into various AI environments.
Contains practical templates to reduce repetitive work.
Limitations
Requires a Linear API key, which needs to be obtained with administrator privileges.
Initial configuration requires a certain technical foundation.
Some advanced features require a Linear enterprise license.

How to use

Prepare the environment
Ensure that Node.js 18 or a higher version is installed and obtain a Linear API key.
Install the service
Clone the repository and install dependencies.
Configure the API key
Create a.env file in the project root directory and add your Linear API key.
Start the service
Choose a startup method that suits your needs.
Integrate into an AI assistant
Add the MCP server configuration to the AI assistant settings.

Usage examples

Create a task through AI
Let the AI assistant automatically create a Linear task based on the conversation.
Generate a project weekly report
Let the AI query and summarize the project progress.
Bulk update task statuses
Perform bulk operations on tasks through natural language instructions.

Frequently Asked Questions

How to obtain a Linear API key?
Which AI assistants are supported?
How is data security ensured?
Can multiple Linear teams be managed simultaneously?
What should I do if I encounter a startup error?

Related resources

Linear official API documentation
Complete reference documentation for the Linear API.
MCP protocol specification
Official specification of the Model Context Protocol.
GitHub repository
Project source code and issue tracking.
Node.js download
Official Node.js download page.

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "linear": {
         "command": "node",
         "args": [
           "/path/to/linear-mcp/dist/index.js"
         ],
         "env": {
           "LINEAR_API_KEY": "your_linear_api_key_here"
         }
       }
     }
   }
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
11.0K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
11.8K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
17.4K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
10.3K
4 points
P
Paperbanana
Python
9.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.9K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.4K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
11.8K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
25.8K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
30.5K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
84.1K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.7K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
39.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
73.1K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
25.0K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
112.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase