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.

LinearB MCP Server

Name: LinearB
Availability: InStock
Author: Vinkius

linearb.io

Built by Vinkius GDPR ToolsFree

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

Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use

…and any MCP-compatible client

LinearB MCP Server: see your AI Agent in action

AI Agent→Vinkius→LinearB

You

Vinkius AI Gateway

GDPR·High Security·Kill Switch·Ultra-Low Latency·Plug and Play

Built-in capabilities (7)

list_connected_repos

List all connected repositories

list_engineering_teams

List all teams defined in LinearB

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)

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

What this connector 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

Give your AI agents the power of LinearB

Access LinearB and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.

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