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LinearTrelloAGNT

Automate Linear + Trello

Fast issue tracking that deserves fast automation. Boards and cards — simple enough to automate deeply. Put an agent between them and the hand-off stops being manual: it reads, decides, acts, and shows its work.

Install Meeting Follow-Through → Get AGNT free

Meeting Follow-Through is a ready-made agent built around Linear; point its last step at Trello to finish this hand-off.

Automations teams run

Unlike field-mapping automation, the step in the middle is an agent: it can summarise, classify, judge and draft, not merely copy values from Linear into Trello.

When an issue is created in Linear…

…an agent can create and move cards in Trello — after reading the context and deciding it should.

When a status changes in Linear…

…an agent can update checklists and labels in Trello — after reading the context and deciding it should.

When a cycle ends in Linear…

…an agent can summarise a board in Trello — after reading the context and deciding it should.

When a card is created or moved in Trello…

…an agent can create issues with full context in Linear — with the reasoning recorded in the run’s receipt.

When a due date approaches in Trello…

…an agent can update status and assignees in Linear — with the reasoning recorded in the run’s receipt.

When a checklist completes in Trello…

…an agent can write cycle summaries in Linear — with the reasoning recorded in the run’s receipt.

The Linear and Trello hand-off, setup template

Start with a custom-api call to api.linear.app and a custom-api call to api.trello.com. Configure the Linear source payload, the agent input, and the Trello operation. The sequential template does not implement conditional writes or approval by itself.

Linear to Trello: run on a schedule → review source and draft → call trello TRIGGER trigger-timer Run on a schedule Configure activation ACTION agnt-agent Review source and draft Configure inputs ACTION custom-api Call Trello Configure inputs
Setup template for Linear and Trello; verify data mapping and authorization using test accounts.
Linear → TrelloSetup template · configure before activation

This is a schema-checked starting point, not an end-to-end tested automation. Replace every CONFIGURE_ value, choose the operations you intend, connect credentials and map source outputs into later inputs. An edge orders steps; it does not supply a condition, an approval gate or a field mapping. Add and test those controls explicitly before any write. Cloud APIs and model providers may receive data. Keep the workflow inactive until tested with fixtures.

{
  "id": "a282d47c-058f-4515-adf1-43a55cbaf8c2",
  "name": "Linear → Trello",
  "nodes": [
    {
      "id": "78541cae-21c5-49cd-a71d-396304a62602",
      "text": "Run on a schedule",
      "x": 512,
      "y": 144,
      "isEditing": false,
      "type": "trigger-timer",
      "icon": "connect",
      "category": "trigger",
      "isSelected": false,
      "parameters": {
        "fireOnStart": "No",
        "scheduleType": "Interval",
        "schedule": "Every 15 Minutes"
      },
      "description": "Setup template for Timer Trigger. This trigger node fires the workflow at specified intervals or at a specific time. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "e390da1c-79cf-4cc5-a657-953fb28c79ae",
      "text": "Review source and draft",
      "x": 512,
      "y": 336,
      "isEditing": false,
      "type": "agnt-agent",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "agentId": "CONFIGURE_AGENTID",
        "message": "Read the Linear item. Decide whether it warrants action in Trello, and explain why.\nSource input: CONFIGURE_SOURCE_INPUT. Produce a reviewable draft only; do not take external actions."
      },
      "description": "Setup template for Agent Chat. Chat with an AI agent from your agent library. Select an agent and send messages to interact with it within your workflow. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    },
    {
      "id": "a9fe6ec4-b406-4c7a-abaa-54bc66d860cc",
      "text": "Call Trello",
      "x": 512,
      "y": 528,
      "isEditing": false,
      "type": "custom-api",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "url": "https://api.trello.com/1/cards?key={key}&token={token}",
        "method": "GET",
        "authType": "None",
        "query": "",
        "headers": "{}"
      },
      "description": "Setup template for Custom API Request. This action node makes a custom API request to any endpoint with configurable method, headers, and authentication. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    }
  ],
  "edges": [
    {
      "id": "c59384dc-f273-4303-a496-25d3793e40ea",
      "start": {
        "id": "78541cae-21c5-49cd-a71d-396304a62602",
        "type": "output"
      },
      "end": {
        "id": "e390da1c-79cf-4cc5-a657-953fb28c79ae",
        "type": "input"
      },
      "startX": 800,
      "startY": 168,
      "endX": 512,
      "endY": 360
    },
    {
      "id": "53869885-7b48-410e-add8-6e176fbc1f74",
      "start": {
        "id": "e390da1c-79cf-4cc5-a657-953fb28c79ae",
        "type": "output"
      },
      "end": {
        "id": "a9fe6ec4-b406-4c7a-abaa-54bc66d860cc",
        "type": "input"
      },
      "startX": 800,
      "startY": 360,
      "endX": 512,
      "endY": 552
    }
  ],
  "zoomLevel": 1,
  "canvasOffsetX": 0,
  "canvasOffsetY": 0,
  "isTinyNodeMode": false
}

Configure Custom API Request

This action node makes a custom API request to any endpoint with configurable method, headers, and authentication.

  • url — The URL of the API endpoint Current example: https://api.trello.com/1/cards?key={key}&token={token}.
  • method — The HTTP method for the request Current example: GET.
  • authType — The type of authentication Current example: None.
  • query — Query parameters for the request (e.g., 'key1=value1&key2=value2') Current example: .
  • headers — Optional headers for the request. e.g., {"Content-Type": "application/json"} Current example: {}.

Install Meeting Follow-Through

Meeting Follow-Through is a working agent built around Linear. Install it, point its last step at Trello, and you have this hand-off without building it from an empty canvas.

Runs on your own machine · See what it does

Build it in AGNT

  1. Install AGNT — it runs on your own machine and needs no account to start.
  2. Authorise Trello (an API key pasted into the vault) and Linear (an API key pasted into the vault). Nothing is stored anywhere but your disk.
  3. Describe the job in plain language, or paste the definition above; custom-api does the reading and custom-api the writing.
  4. Gate anything you would not want done unattended, then let it run and read the first receipt end to end.

Linear and Trello — common questions

Can I connect Linear to Trello without writing code?

You can build it entirely from the canvas. Authorise Linear with an API key pasted into the vault, Trello with an API key pasted into the vault, then tell the agent what support escalations become tracked issues should look like once Trello is involved. Code is an option for the unusual cases, never a requirement for the common ones.

How is this different from a field-mapping Linear to Trello automation?

The difference shows up on the messy inputs. A rule chain needs every case enumerated in advance; an agent handles support escalations become tracked issues the way a colleague would — reading the Linear context, judging it, then writing to Trello with the reasoning recorded.

Does my Linear and Trello data leave my machine?

AGNT Community Core is local-first, so there is no vendor middleman holding your Linear or Trello tokens. The runtime talks directly to both services. Choose a local model and the content of what it reads never leaves the machine at all.

What does a Linear and Trello run leave behind?

You get an auditable trail rather than a success flag. It shows the Linear context the agent worked from, the judgment it made about email requests become cards instantly, and the exact change applied in Trello, with approvals attached where you required them.

Give AI a job. Get the proof.