# linear-mcp

> Use this tool when you need to integrate Linear with AI agents, enabling them to manage issues, projects, and teams via the Model Context Protocol. It solves problems related to workflow automation, project tracking, and team collaboration, providing a seamless interface for inputs such as project updates and outputs like task assignments. Ideal for use cases requiring streamlined communication between Linear and AI-powered systems.

Canonical page: https://skillsregistry.net/skills/gerbal-linear-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gerbal-linear-mcp

## Description

Enables AI agents to manage Linear issues, projects, teams, and more via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/obpchj8ui2)
- **Repository:** <https://github.com/gerbal/linear-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gerbal-linear-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gerbal-linear-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gerbal-linear-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt