MCP For Claude Marketplace
LinearB

LinearB MCP Connector for Claude

A+

Export software delivery metrics, manage deployments, and report incidents via the LinearB API.

7 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your LinearB account to any AI agent to automate your engineering intelligence and DORA metrics reporting. This MCP server enables your agent to query cycle time, track deployments, and report incidents directly from natural language interfaces.

What you can do

  • Metric Ingestion — Query complex engineering metrics including cycle time, coding time, and pickup time across teams
  • Deployment Management — Inform LinearB of new software releases by reporting Git refs (SHAs or tags) programmatically
  • Incident Tracking — Report and list engineering incidents to maintain accurate Change Failure Rate and MTTR metrics
  • Metadata Oversight — List teams and connected repositories to map technical IDs to organizational structures
  • DORA Analytics — Retrieve aggregated performance data to identify bottlenecks in your delivery pipeline

How it works

  1. Subscribe to this server
  2. Enter your LinearB Public API Key
  3. Start managing your engineering metrics from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Engineering Managers — Monitor team cycle times and delivery health via simple natural language commands
  • DevOps Engineers — Automate the reporting of deployments and incidents directly from CI/CD pipelines or IDEs
  • CTOs — Quickly audit organizational performance and DORA metrics without opening the dashboard
dora-metricsengineering-intelligencedeployment-trackingincident-managementcycle-timedevops

7 tools expose this connector's capabilities to your AI agent.

record_new_deployment

Requires repo_id and ref. Report a new deployment to LinearB

record_new_incident

Requires provider_id and started_at. Report a new incident

list_software_deployments

List recent deployments

list_software_incidents

List engineering incidents

query_software_metrics

Requires a JSON body with requested_metrics and time_ranges. Query software engineering metrics (v2)

list_connected_repos

List all connected repositories

list_engineering_teams

List all teams defined in LinearB

See how to talk to your AI agent using LinearB.

Query the average cycle_time for the last 30 days for team 'Backend'.

I've retrieved the metrics for team 'Backend'. The average cycle_time over the last 30 days is 3.5 days, with coding_time at 1.2 days and pickup_time at 0.8 days.

Record a new deployment for repo ID '123' with Git ref 'v1.2.0'.

Successfully informed LinearB of the new deployment. The Git ref 'v1.2.0' for repository 123 has been recorded, and cycle times for the included PRs will be updated.

Report a new incident starting now for provider 'OpsGenie'.

I've reported the incident to LinearB. It has been associated with provider 'OpsGenie' starting at [timestamp]. This will be used to calculate your MTTR.

Use the `query_software_metrics` tool and include the team name or ID in the `group_by` parameter of your JSON query.

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