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 for AutoGen 7 tools — connect in under 2 minutes

Name: LinearB
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add LinearB as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="linearb_agent",
            tools=tools,
            system_message=(
                "You help users with LinearB. "
                "7 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LinearB MCP Server

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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use LinearB tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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

The LinearB MCP Server exposes 7 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect LinearB to AutoGen via MCP

Follow these steps to integrate the LinearB MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 7 tools from LinearB automatically

Why Use AutoGen with the LinearB MCP Server

AutoGen provides unique advantages when paired with LinearB through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use LinearB tools to solve complex tasks

Role-based architecture lets you assign LinearB tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive LinearB tool calls

Code execution sandbox: AutoGen agents can write and run code that processes LinearB tool responses in an isolated environment

LinearB + AutoGen Use Cases

Practical scenarios where AutoGen combined with the LinearB MCP Server delivers measurable value.

Collaborative analysis: one agent queries LinearB while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from LinearB, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using LinearB data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process LinearB responses in a sandboxed execution environment

LinearB MCP Tools for AutoGen (7)

These 7 tools become available when you connect LinearB to AutoGen via MCP:

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

Example Prompts for LinearB in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with LinearB immediately.

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

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

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

Troubleshooting LinearB MCP Server with AutoGen

Common issues when connecting LinearB to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

LinearB + AutoGen FAQ

Common questions about integrating LinearB MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call LinearB tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.