How do I connect my LinearB account?

You subscribe to the MCP on Vinkius and enter your LinearB Public API Key. Once connected, you can use it in any compatible client.

Which AI clients can use this MCP?

You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

Can I report deployments through my AI agent?

Yes, you can use the record_new_deployment capability to report a new deployment using a repository ID and a Git ref.

Does this help with DORA metrics?

Yes, it allows you to query software metrics and report incidents, which are essential for calculating DORA metrics like MTTR and Change Failure Rate.

Can I see my team structure?

Yes, the MCP includes capabilities to list all engineering teams and connected repositories defined in LinearB.

How do I query cycle time for a specific team?

Use the query_software_metrics capability 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 capability with the Git SHA or tag and the repository ID to inform LinearB that a deployment has occurred.

An astronaut overseeing a futuristic data hub

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Connect LinearB to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get real-time DORA metrics and deployment data through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through LinearB.

01
List software deployments
This capability retrieves a list of recent software deployments from your account.
02
Record new incident
Use this to report a new engineering incident by providing a provider ID and start time.
03
List software incidents
This capability pulls a list of all recorded engineering incidents.
04
List connected repos
This capability returns a list of all repositories currently connected to your LinearB account.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through LinearB.

05
List engineering teams
Use this to get a list of all teams defined within LinearB.
06
Query software metrics
This capability queries specific software engineering metrics based on your requested time ranges and metric types.
07
Record new deployment
This capability tells LinearB about a new deployment using a specific repository ID and Git ref.

Real work

What teams actually run

Bottleneck Identification

Ask your agent to check cycle time trends to see where PRs are getting stuck.

Automated Deployment Updates

Have your agent report a new Git ref to LinearB immediately after a successful release.

Incident Response Logging

Log a new incident via your AI client as soon as a service disruption is detected.

Team Performance Audits

Request a summary of engineering metrics for specific teams to evaluate delivery health.

Automate a task

Put LinearB to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

LinearB works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put LinearB to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

927ms average. Fast in production.

LinearB is checked daily against the live service.

Daily averagePeak 1137ms

Oct 3Today

Fastest day: 736ms
Slowest day: 1137ms
14-day trend: Slowing+8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LinearB, so you can see the experience inside your AI.

It does not authenticate your account with LinearB. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LinearB Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_RQu5BgeMc4kEdSux6KvMTpIFSZDUWY8Nip6OyVZ1/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — LinearB capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "linearb-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RQu5BgeMc4kEdSux6KvMTpIFSZDUWY8Nip6OyVZ1/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up LinearB in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work LinearB owners hand off.

This MCP is built for technical leaders and engineers who need to monitor delivery health without manual reporting.

01
Engineering Managers
They ask the agent to monitor team cycle times and delivery health.
02
DevOps Engineers
They use the agent to automate deployment and incident reporting from their IDE.
03
CTOs
They query the agent for quick audits of DORA metrics and organizational performance.

FAQ

Questions LinearB owners ask.

01
How do I connect my LinearB account?
You subscribe to the MCP on Vinkius and enter your LinearB Public API Key. Once connected, you can use it in any compatible client.
02
Which AI clients can use this MCP?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
03
Can I report deployments through my AI agent?
Yes, you can use the record_new_deployment capability to report a new deployment using a repository ID and a Git ref.
04
Does this help with DORA metrics?
Yes, it allows you to query software metrics and report incidents, which are essential for calculating DORA metrics like MTTR and Change Failure Rate.
05
Can I see my team structure?
Yes, the MCP includes capabilities to list all engineering teams and connected repositories defined in LinearB.
06
How do I query cycle time for a specific team?
Use the query_software_metrics capability and include the team name or ID in the group_by parameter of your JSON query.
07
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.
08
Can I report a release from the agent?
Absolutely. Use the record_new_deployment capability with the Git SHA or tag and the repository ID to inform LinearB that a deployment has occurred.

Explore

More in Ship It

Connect LinearB to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

List software deployments

Record new incident

List software incidents

List connected repos

05-07

List engineering teams

Query software metrics

Record new deployment

What teams actually run

Bottleneck Identification

Automated Deployment Updates

Incident Response Logging

Team Performance Audits

Building your own app? The connector is yours to use.

LinearB Connector

Claude Desktop

Engineering Managers

DevOps Engineers

CTOs

How do I connect my LinearB account?

Which AI clients can use this MCP?

Can I report deployments through my AI agent?

Does this help with DORA metrics?

Can I see my team structure?

How do I query cycle time for a specific team?

What is the difference between coding_time and pickup_time?

Can I report a release from the agent?

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