LinearB MCP Server
Export software delivery metrics, manage deployments, and report incidents via the LinearB API.
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What is the LinearB MCP Server?
The LinearB MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to LinearB via 7 tools. Export software delivery metrics, manage deployments, and report incidents via the LinearB API. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate LinearB
Ask your AI agent "Query the average cycle_time for the last 30 days for team 'Backend'." and get the answer without opening a single dashboard. With 7 tools connected to real LinearB data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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LinearB MCP Server capabilities
7 toolsList all connected repositories
List all teams defined in LinearB
List recent deployments
List engineering incidents
Requires a JSON body with requested_metrics and time_ranges. Query software engineering metrics (v2)
Requires repo_id and ref. Report a new deployment to LinearB
Requires provider_id and started_at. Report a new incident
What the LinearB MCP Server unlocks
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
Frequently asked questions about the LinearB MCP Server
How do I query cycle time for a specific team?
Use the query_software_metrics tool and include the team name or ID in the group_by parameter of your JSON query.
What is the difference between coding_time and pickup_time?
Coding time is the duration from the first commit to the PR creation. Pickup time is the duration from the PR creation to the first review activity.
Can I report a release from the agent?
Absolutely. Use the record_new_deployment tool with the Git SHA or tag and the repository ID to inform LinearB that a deployment has occurred.
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Give your AI agents the power of LinearB MCP Server
Production-grade LinearB MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






