Linear is where a lot of product and engineering planning already happens: issues, cycles, projects, roadmap context, and team discussion. A Linear AI assistant is most useful when it helps the team review active work, spot blocked issues, summarise cycle progress, and turn project movement into clear updates from Slack.
How OpenClaw Integrations Work
OpenClaw is a self-hosted AI assistant that runs on your own server — typically an EC2 instance — and connects to Slack. It uses Claude under the hood to process requests. Out of the box, OpenClaw doesn't ship with pre-built connections to third-party tools. Instead, integrations are built using the skills system: markdown files in ~/.openclaw/skills/ that give Claude instructions for a particular domain, combined with HTTP tool calls to any API you expose to it.
In practice, adding a real integration means: getting API credentials from the third-party service, building or configuring a small proxy/endpoint that OpenClaw can call, and writing a skill file that tells Claude how to use it. For some tools this is an afternoon of work. For others — like Linear — it's considerably more involved.
Connecting OpenClaw with Linear: Step by Step
Step 1: Get Your Linear API Key
Go to Linear → Settings → API and create a Personal API Key. This key authenticates all requests to Linear's GraphQL API at https://api.linear.app/graphql. No OAuth flow required for personal or service account usage.
Step 2: Learn the GraphQL Schema
Linear's API is GraphQL-only. Use the Linear API explorer to understand the schema before building your proxy. Key objects: Issue, Cycle, Project, Team, User. Queries are flexible — you can request exactly the fields you need.
Step 3: Build the Proxy and Skill File
Your proxy will accept simple HTTP requests from OpenClaw and translate them into GraphQL queries. Write ~/.openclaw/skills/linear.md with your team identifiers and the types of queries available. Linear's consistent naming makes skill file writing relatively straightforward.
Challenges and Caveats
GraphQL Adds a Layer of Complexity
If your proxy developer isn't familiar with GraphQL, there's a learning curve. REST is more familiar territory — GraphQL query construction, pagination with cursors, and error handling work differently.
No Webhooks Without a Public Endpoint
Linear supports webhooks, but your EC2 instance needs a publicly accessible HTTPS endpoint to receive them. If you want OpenClaw to proactively notify your Slack channel when an issue is updated, you'll need to set up SSL and a public endpoint on your server.
Skip All of This — Use Cody Instead
Cody gives your team a Linear assistant in Slack, so people can check cycle progress, blocked issues, roadmap movement, and project context without opening Linear all day.
Related Guides
- Connecting OpenClaw with Jira: A Practical Guide
- Connecting OpenClaw with Github: A Practical Guide
- Connecting OpenClaw with Notion: A Practical Guide
Need the model-flexible version? See: How to Connect Linear to OpenClaw: Setup, Models, and Workflow Guide.