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LinearNotionAGNT

Automate Linear + Notion

Fast issue tracking that deserves fast automation. The team wiki agents can actually keep current. 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 already works across Linear and Notion — free, and it runs on your machine.

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 Notion.

When an issue is created in Linear…

…an agent can create and update pages in Notion — after reading the context and deciding it should.

When a status changes in Linear…

…an agent can write database rows in Notion — after reading the context and deciding it should.

When a cycle ends in Linear…

…an agent can append meeting notes in Notion — after reading the context and deciding it should.

When a page is created or edited in Notion…

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

When a database row changes in Notion…

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

When a status flips in Notion…

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

Copy this Linear → Notion workflow

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

Linear to Notion: run on a schedule → review source and draft → configure destination in notion TRIGGER trigger-timer Run on a schedule Configure activation ACTION agnt-agent Review source and draft Configure inputs ACTION notion-api Configure destination in Notion Configure inputs
Setup template for Linear and Notion; verify data mapping and authorization using test accounts.
Linear → NotionSetup 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": "c0cc16cf-8850-483c-a426-18292c92e2f8",
  "name": "Linear → Notion",
  "nodes": [
    {
      "id": "6f17a711-886b-4fd5-aefa-c216afe2fe52",
      "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": "fa909409-95d3-4d5f-a1f1-b3a8d8387cde",
      "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 Notion, 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": "3d685b6f-04b5-4ced-a205-b2a0a91e8fc2",
      "text": "Configure destination in Notion",
      "x": 512,
      "y": 528,
      "isEditing": false,
      "type": "notion-api",
      "icon": "connect",
      "category": "action",
      "isSelected": false,
      "parameters": {
        "operation": "search",
        "pageSize": 1,
        "query": "CONFIGURE_QUERY",
        "filterType": "all"
      },
      "description": "Setup template for Notion API. Interact with Notion - search, query databases, get pages, and create pages. Configure credentials, inputs and output mapping before use.",
      "error": null,
      "isActive": false,
      "output": null,
      "outputs": {}
    }
  ],
  "edges": [
    {
      "id": "4a38f0e1-06f8-4d6a-a26a-02915226c198",
      "start": {
        "id": "6f17a711-886b-4fd5-aefa-c216afe2fe52",
        "type": "output"
      },
      "end": {
        "id": "fa909409-95d3-4d5f-a1f1-b3a8d8387cde",
        "type": "input"
      },
      "startX": 800,
      "startY": 168,
      "endX": 512,
      "endY": 360
    },
    {
      "id": "aac53a96-010a-4405-afc2-5f332a077146",
      "start": {
        "id": "fa909409-95d3-4d5f-a1f1-b3a8d8387cde",
        "type": "output"
      },
      "end": {
        "id": "3d685b6f-04b5-4ced-a205-b2a0a91e8fc2",
        "type": "input"
      },
      "startX": 800,
      "startY": 360,
      "endX": 512,
      "endY": 552
    }
  ],
  "zoomLevel": 1,
  "canvasOffsetX": 0,
  "canvasOffsetY": 0,
  "isTinyNodeMode": false
}

Configure Notion API

Interact with Notion - search, query databases, get pages, and create pages.

  • operation — Operation to perform Current example: search.
  • query — Search query text Current example: CONFIGURE_QUERY.
  • filterType — Filter results by type Current example: all.
  • pageSize — Max results (default: 10-100) Current example: 1.

Install Meeting Follow-Through

Meeting Follow-Through already uses both Linear and Notion, so installing it gives you this exact hand-off wired up — connected, editable, and running on your own machine.

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 Notion (one OAuth sign-in) 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 notion-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 Notion — common questions

Can I connect Linear to Notion without writing code?

You can build it entirely from the canvas. Authorise Linear with an API key pasted into the vault, Notion with one OAuth sign-in, then tell the agent what support escalations become tracked issues should look like once Notion 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 Notion automation?

A field mapping copies values and breaks on the first record nobody anticipated. The middle step here reads the Linear item in full and decides — whether it matters, how to summarise it, and what belongs in Notion. Deciding to do nothing is a valid outcome, which no mapping can express.

Does my Linear and Notion data leave my machine?

AGNT Community Core is local-first, so there is no vendor middleman holding your Linear or Notion 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 Notion 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 meeting notes filed where they belong, and the exact change applied in Notion, with approvals attached where you required them.

Give AI a job. Get the proof.