docs(dartai): add Dart AI MCP connector documentation

src/components/templates/agent-connectors/_section-after-setup-dartai-common-workflows.mdx

@@ -0,0 +1,78 @@
+{/* TODO: stub cloned from _section-after-setup-atlassianmcp-common-workflows.mdx for Dart AI MCP. Review and update connector-specific references (URLs, scopes, app-registration steps) before merging. */}
+export const sectionTitle = 'Common workflows'
+
+import { Tabs, TabItem, Aside } from '@astrojs/starlight/components'
+
+### Get your cloud ID
+
+Most Dart AI MCP tools require a `cloudId` — the UUID that identifies your Atlassian cloud site. Call `dartai_getaccessibleatlassianresources` once to retrieve it, then pass the `id` field value in every subsequent tool call.
+
+<Aside type="note" title="Call this tool first">
+  Run `dartai_getaccessibleatlassianresources` before calling any Jira or Confluence tool. The response lists every Atlassian site the user has access to. Use the `id` field as `cloudId`.
+</Aside>
+
+<Tabs syncKey="tech-stack">
+  <TabItem label="Node.js">
+    ```typescript
+    // Step 1 — get the cloud ID
+    const resources = await actions.executeTool({
+      connectionName: 'dartai',
+      identifier: 'user_123',
+      toolName: 'dartai_getaccessibleatlassianresources',
+      toolInput: {},
+    });
+    const cloudId = resources[0].id;
+
+    // Step 2 — use cloudId in subsequent calls
+    const issue = await actions.executeTool({
+      connectionName: 'dartai',
+      identifier: 'user_123',
+      toolName: 'dartai_getjiraissue',
+      toolInput: {
+        cloudId,
+        issueIdOrKey: 'KAN-1',
+      },
+    });
+    console.log(issue);
+    ```
+  </TabItem>
+  <TabItem label="Python">
+    ```python
+    # Step 1 — get the cloud ID
+    resources = actions.execute_tool(
+        connection_name="dartai",
+        identifier="user_123",
+        tool_name="dartai_getaccessibleatlassianresources",
+        tool_input={},
+    )
+    cloud_id = resources[0]["id"]
+
+    # Step 2 — use cloud_id in subsequent calls
+    issue = actions.execute_tool(
+        connection_name="dartai",
+        identifier="user_123",
+        tool_name="dartai_getjiraissue",
+        tool_input={
+            "cloudId": cloud_id,
+            "issueIdOrKey": "KAN-1",
+        },
+    )
+    print(issue)
+    ```
+  </TabItem>
+</Tabs>
+
+The `dartai_getaccessibleatlassianresources` response looks like this:
+
+```json
+[
+  {
+    "id": "a4c9b3e2-1234-5678-abcd-ef0123456789",
+    "name": "My Company",
+    "url": "https://mycompany.atlassian.net",
+    "scopes": ["read:jira-work", "write:jira-work", "read:confluence-content.all"]
+  }
+]
+```
+
+Use `id` as the `cloudId` parameter. If the user belongs to multiple Atlassian sites, the list contains one entry per site — pick the one matching the target `url`.

src/components/templates/agent-connectors/_setup-dartai.mdx

@@ -0,0 +1,26 @@
+{/* TODO: stub cloned from _setup-atlassianmcp.mdx for Dart AI MCP. Review and update connector-specific references (URLs, scopes, app-registration steps) before merging. */}
+import { Steps, Aside } from '@astrojs/starlight/components'
+
+Dart AI MCP uses OAuth 2.1 with Dynamic Client Registration (DCR) and PKCE — no client ID or secret is needed. Scalekit automatically registers an OAuth client on behalf of each user and handles token management.
+
+<Steps>
+1. ### Create a connection in Scalekit
+
+   In the [Scalekit dashboard](https://app.scalekit.com), go to **AgentKit** > **Connections** and click **Create Connection**. Find **Dart AI MCP** in the catalog and click **Create**.
+
+   {/* TODO: add screenshot — alt: "Create connection for Dart AI MCP in Scalekit dashboard", original src: @/assets/docs/agent-connectors/dartai/create-connection.png */}
+
+2. ### Authorize the connection
+
+   Click **Authorize** on the connection detail page. Scalekit initiates the OAuth 2.1 + PKCE flow with Dynamic Client Registration. You will be redirected to Dart AI to grant access.
+
+   {/* TODO: add provider-specific steps — describe where in Dart AI the authorization consent screen appears and what permissions are requested */}
+
+   {/* TODO: add screenshot — alt: "Dart AI MCP OAuth consent screen", original src: @/assets/docs/agent-connectors/dartai/oauth-consent.png */}
+
+3. ### Verify the connection is active
+
+   After authorizing, you are redirected back to Scalekit. The connection status should show **Active**. You can now call Dart AI tools through Scalekit AgentKit.
+
+   {/* TODO: add screenshot — alt: "Active Dart AI MCP connection in Scalekit dashboard", original src: @/assets/docs/agent-connectors/dartai/connection-active.png */}
+</Steps>

src/components/templates/agent-connectors/index.ts

@@ -22,6 +22,7 @@ export { default as SetupCloseSection } from './_setup-close.mdx'
 export { default as SetupCommonroommcpSection } from './_setup-commonroommcp.mdx'
 export { default as SetupConfluenceSection } from './_setup-confluence.mdx'
 export { default as SetupCustomeriomcpSection } from './_setup-customeriomcp.mdx'
+export { default as SetupDartaiSection } from './_setup-dartai.mdx'
 export { default as SetupDatabricksSection } from './_setup-databricks.mdx'
 export { default as SetupDatadogSection } from './_setup-datadog.mdx'
 export { default as SetupDevinmcpSection } from './_setup-devinmcp.mdx'
@@ -132,6 +133,7 @@ export { default as SectionAfterSetupCloseCommonWorkflows } from './_section-aft
 export { default as SectionAfterSetupCommonroommcpCommonWorkflows } from './_section-after-setup-commonroommcp-common-workflows.mdx'
 export { default as SectionAfterSetupConfluenceCommonWorkflows } from './_section-after-setup-confluence-common-workflows.mdx'
 export { default as SectionAfterSetupCustomeriomcpCommonWorkflows } from './_section-after-setup-customeriomcp-common-workflows.mdx'
+export { default as SectionAfterSetupDartaiCommonWorkflows } from './_section-after-setup-dartai-common-workflows.mdx'
 export { default as SectionAfterSetupDatabricksCommonWorkflows } from './_section-after-setup-databricks-common-workflows.mdx'
 export { default as SectionAfterSetupDatadogCommonWorkflows } from './_section-after-setup-datadog-common-workflows.mdx'
 export { default as SectionAfterSetupDiarizeCommonWorkflows } from './_section-after-setup-diarize-common-workflows.mdx'

src/content/docs/agentkit/connectors/dartai.mdx

@@ -0,0 +1,72 @@
+---
+title: 'Dart AI MCP connector'
+tableOfContents: true
+description: 'AI-native project management tool for task and document management with deep AI integration.'
+sidebar:
+  label: 'Dart AI MCP'
+overviewTitle: 'Quickstart'
+connectorIcon: https://cdn.scalekit.com/sk-connect/assets/provider-icons/dartai.svg
+connectorAuthType: OAuth2.1/DCR
+connectorCategories: [Project Management, AI, Productivity]
+head:
+  - tag: style
+    content: |
+      .sl-markdown-content h2 {
+        font-size: var(--sl-text-xl);
+      }
+      .sl-markdown-content h3 {
+        font-size: var(--sl-text-lg);
+      }
+---
+
+import ToolList from '@/components/ToolList.astro'
+import { tools } from '@/data/agent-connectors/dartai'
+import { Steps, Tabs, TabItem } from '@astrojs/starlight/components'
+import { AgentKitCredentials } from '@components/templates'
+import { QuickstartGenericOauthSection } from '@components/templates'
+
+<Steps>
+
+1. ### Install the SDK
+
+   <Tabs syncKey="tech-stack">
+     <TabItem label="Node.js">
+       ```bash frame="terminal"
+       npm install @scalekit-sdk/node
+       ```
+     </TabItem>
+     <TabItem label="Python">
+       ```bash frame="terminal"
+       pip install scalekit
+       ```
+     </TabItem>
+   </Tabs>
+
+   Full SDK reference: [Node.js](/agentkit/sdks/node/) | [Python](/agentkit/sdks/python/)
+
+2. ### Set your credentials
+
+   <AgentKitCredentials />
+
+3. ### Authorize and make your first call
+
+   <QuickstartGenericOauthSection connector="dartai" toolName="dartai_get_config" providerName="Dart AI MCP" />
+
+</Steps>
+
+## What you can do
+
+Connect this agent connector to let your agent:
+
+- **Url add task attachment from** — Attach a file from a provided URL to a task
+- **Comment add task** — Record a new comment that the user intends to add to a given task
+- **Tracking add task time** — Record an additional time tracking entry on a task
+- **Create agent, doc, task** — Create a new agent in the workspace with a name and optional description or instructions
+- **Delete agent, doc, task** — Delete an agent by its ID
+- **Get agent, config, dartboard** — Retrieve an existing agent by its ID, including its name and current description
+
+## Tool list
+
+Use the exact tool names from the **Tool list** below when you call `execute_tool`. If you're not sure which name to use, list the tools available for the current user first.
+
+<ToolList tools={tools} />

src/data/agent-connectors/catalog.ts

@@ -1249,4 +1249,9 @@ export const catalog: Record<string, ProviderMeta> = {
     authType: 'OAuth 2.0',
     categories: ['Communication'],
   },
+  dartai: {
+    iconUrl: 'https://cdn.scalekit.com/sk-connect/assets/provider-icons/dartai.svg',
+    authType: 'OAuth2.1/DCR',
+    categories: ['Project Management', 'AI', 'Productivity'],
+  },
 }