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How to Use the LinearB MCP in Windsurf

Use the LinearB MCP Server in Windsurf to turn raw deployment data into clear engineering insights without leaving your IDE.

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Windsurf

Connect LinearB MCP to Windsurf

Create your Vinkius account to connect LinearB to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Automate deployment and incident tracking

Cascade doesn't just read data; it pushes status updates directly to your dashboard. Use `record_new_deployment` or `record_new_incident` the moment a change hits production. You stop manually logging events. When your pipeline finishes, Windsurf triggers the tool to keep your metrics accurate and your team informed.

Query DORA metrics in Windsurf

Stop guessing why your cycle time is slipping. Use `query_software_metrics` to pull live data on your team's throughput and delivery speed. Windsurf processes the JSON output, showing you exactly where the bottlenecks sit. You identify the delay and fix the process before the next sprint.

Audit team activity and repository health

Get a full view of your organization by using `list_engineering_teams` and `list_connected_repos`. It maps out who owns what across your entire infrastructure. This visibility helps Cascade understand the scope of your current project. You see which teams are active and which repositories need attention without switching browser tabs.

Setup guide

Set up LinearB MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the LinearB MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my LinearB payment history." If connected, Cascade will call the LinearB tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "linearb-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinearB. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LinearB MCP in Windsurf

You add the server to your configuration file, and Windsurf makes the tools available to Cascade. Once connected, your agent can query your engineering metrics directly.
Yes. You can instruct Cascade to run `record_new_incident` whenever a test fails or a production issue occurs. It handles the API call so you can focus on the fix.
Your API tokens stay local, and the server manages the connection. Windsurf only exchanges the data required to complete the specific task your agent is working on.
Yes, you use `list_engineering_teams` to fetch specific groups. You then filter those results through your metrics query to isolate performance data.
Use `list_software_deployments` to check existing records before you push new ones. This prevents duplicate entries and keeps your history clean.

Start using the LinearB MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for LinearB. Just plug in your AI agents and start using Vinkius.

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