Linear
Query and search for issues in Linear, a project management tool.
Linear MCP Server
A Model Context Protocol (MCP) server implementation that provides access to Linear's issue tracking system through a standardized interface.
Features
- Create new issues and subissues with label support
- Retrieve the list of linear projects
- Retrieve the project updates
- Create a new project update with health status
- Update existing issues with full field modification
- Delete issue with validation
- Self-assign issues using 'me' keyword
- Advanced search with Linear's powerful filtering capabilities
- Filter issues by cycle (current, next, previous, or specific cycle by UUID or number)
- Add comments to issues with markdown support
- Query Linear issues by ID or key with optional relationships
- Search issues using custom queries with enhanced metadata
- Type-safe operations using Linear's official SDK
- Comprehensive error handling
- Rate limit handling
- Clean data transformation
- Parent/child relationship tracking with team inheritance
- Label management and synchronization
Prerequisites
- Bun runtime (v1.0.0 or higher)
- Linear account with API access
Environment Variables
LINEAR_API_KEY=your_api_key # Your Linear API token
Installation & Setup
1. Clone the repository:
git clone [repository-url]
cd linear-mcp
2. Install dependencies and build:
bun install
bun run build
3. Configure the MCP server:
Edit the appropriate configuration file:
macOS:
- Cline:
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
- Cline:
%APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json - Claude Desktop:
%APPDATA%\Claude Desktop\claude_desktop_config.json
Linux:
- Cline:
~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Claude Desktop: sadly doesn't exist yet
Add the following configuration under the mcpServers object:
{
"mcpServers": {
"linear": {
"command": "node",
"args": ["/absolute/path/to/linear-mcp/build/index.js"],
"env": {
"LINEAR_API_KEY": "your_api_key"
}
}
}
}
4. Restart the MCP server.
Within Cline's MCP settings, restart the MCP server. Restart Claude Desktop to load the new MCP server.
Development
Run development server:
bun run dev
Build project:
bun run build
Available MCP Tools
For detailed usage examples of all tools, see USAGE.md.
create_issue
Create a new Linear issue or subissue.
Input Schema:
{
"teamId": "string",
"title": "string",
"description": "string",
"parentId": "string",
"status": "string",
"priority": "number",
"assigneeId": "string | 'me'",
"labelIds": ["string"]
}
update_issue
Update an existing Linear issue.
Input Schema:
{
"issueId": "string",
"title": "string",
"description": "string",
"status": "string",
"priority": "number",
"assigneeId": "string | 'me'",
"labelIds": ["string"],
"cycleId": "string"
}
get_issue
Get detailed information about a specific Linear issue with optional relationships.
Input Schema:
{
"issueId": "string",
"includeRelationships": "boolean"
}
search_issues
Search for Linear issues using a query string and advanced filters. Supports Linear's powerful filtering capabilities.
Input Schema:
{
"query": "string",
"includeRelationships": "boolean",
"filter": {
"title": { "contains": "string", "eq": "string", ... },
"description": { "contains": "string", "eq": "string", ... },
"priority": { "gte": "number", "lt": "number", ... },
"estimate": { "eq": "number", "in": ["number"], ... },
"dueDate": { "lt": "string", "gt": "string", ... },
"createdAt": { "gt": "P2W", "lt": "2024-01-01", ... },
"updatedAt": { "gt": "P1M", ... },
"completedAt": { "null": true, ... },
"assignee": { "id": { "eq": "string" }, "name": { "contains": "string" } },
"creator": { "id": { "eq": "string" }, "name": { "contains": "string" } },
"team": { "id": { "eq": "string" }, "key": { "eq": "string" } },
"state": { "type": { "eq": "started" }, "name": { "eq": "string" } },
"labels": { "name": { "in": ["string"] }, "every": { "name": { "eq": "string" } } },
"project": { "id": { "eq": "string" }, "name": { "contains": "string" } },
"and": [{ /* filters */ }],
"or": [{ /* filters */ }],
"assignedTo": "string | 'me'",
"createdBy": "string | 'me'"
},
"projectId": "string",
"projectName": "string"
}
Supported Comparators:
- String fields:
eq,neq,in,nin,contains,startsWith,endsWith(plus case-insensitive variants) - Number fields:
eq,neq,lt,lte,gt,gte,in,nin - Date fields:
eq,neq,lt,lte,gt,gte(supports ISO 8601 durations)
get_teams
Get a list of Linear teams with optional name/key filtering.
Input Schema:
{
"nameFilter": "string"
}
delete_issue
Delete an existing Linear issue.
Input Schema:
{
"issueId": "string"
}
create_comment
Create a new comment on a Linear issue.
Input Schema:
{
"issueId": "string",
"body": "string"
}
get_projects
Get a list of Linear projects with optional name filtering and pagination.
Input Schema:
{
"nameFilter": "string",
"includeArchived": "boolean",
"first": "number",
"after": "string"
}
get_project_updates
Get project updates for a given project ID with optional filtering parameters.
Input Schema:
{
"projectId": "string",
"includeArchived": "boolean",
"first": "number",
"after": "string",
"createdAfter": "string",
"createdBefore": "string",
"userId": "string | 'me'",
"health": "string"
}
create_project_update
Create a new update for a Linear project.
Input Schema:
{
"projectId": "string",
"body": "string",
"health": "onTrack | atRisk | offTrack",
"isDiffHidden": "boolean"
}
Technical Details
- Built with TypeScript in strict mode
- Uses Linear's official SDK (@linear/sdk)
- Uses MCP SDK (@modelcontextprotocol/sdk 1.4.0)
- Authentication via API tokens
- Comprehensive error handling
- Rate limiting considerations
- Bun runtime for improved performance
- ESM modules throughout
- Vite build system
- Type-safe operations
- Data cleaning features:
- Issue mention extraction (ABC-123 format)
- User mention extraction (@username format)
- Markdown content cleaning
- Content optimization for AI context
- Self-assignment support:
- Automatic current user resolution
- 'me' keyword support in create/update operations
- Efficient user ID caching
- Advanced search capabilities:
- Comprehensive filtering with Linear's API
- Support for all field comparators
- Relationship filtering
- Logical operators (and, or)
- Relative date filtering
- Filter by assignee/creator (including self)
- Support for specific user IDs
- Project filtering by ID or name
- Efficient query optimization
- Project management features:
- Project listing with filtering and pagination
- Project update creation with health status tracking
- Project update retrieval with filtering options
Error Handling
The server implements a comprehensive error handling strategy:
- Network error detection and appropriate messaging
- HTTP status code handling
- Detailed error messages with status codes
- Error details logging to console
- Input validation for all parameters
- Label validation and synchronization
- Safe error propagation through MCP protocol
- Rate limit detection and handling
- Authentication error handling
- Invalid query handling
- Team inheritance validation for subissues
- User resolution validation
- Search filter validation
LICENCE
This project is licensed under the MIT License - see the LICENCE file for details.
Related Servers
OpenTabs
Plugin-based MCP server that gives AI agents access to web applications through the user's authenticated browser session. Chrome extension with 100+ plugins for Slack, Discord, GitHub, Reddit, and more.
Fathom AI
Access fathom ai api endpoints via mcp server and llm.
Anki MCP Server
Interact with the Anki flashcard app via the AnkiConnect add-on. Supports audio generation and similarity search.
Docmost
An open-source collaborative wiki and documentation software with AI integration via MCP.
Google Sheets
Interact with Google Sheets using a Python-based MCP server and Google Apps Script.
jCodeMunch-MCP
Token-efficient MCP server for GitHub source code exploration via tree-sitter AST parsing
Video Editor MCP Server
Perform video editing operations using natural language commands via FFmpeg.
Squad AI
Your AI Product Manager. Surface insights, build roadmaps, and plan strategy with 30+ tools.
Resource Hub
Connects to the Resource Hub to centrally configure and manage your MCP servers.
YNAB
Interact with your YNAB (You Need A Budget) budgets and financial data.