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Quick Desktop Setup

After deployment, add the Feishu MCP connection in Amazon Quick (Quick Desktop) with the steps below. (For Kiro / Claude Code / Codex, which self-register without a Client Secret, see connect-mcp-clients_en.md instead.)

Prerequisites

Before creating the connector, ensure the Redirect URL from deploy output (<OAuth endpoint>/callback) is registered in your app's developer console:

Use the console that matches your LARKSUITE_CLI_BRAND setting. If this is missing, the authorization step will fail with error code 20029 ("Redirect URL invalid").

Step 1: Create Connector

In Quick Desktop click Settings → Capabilities → Browse connections (opens browser), choose Create for your teamModel Context Protocol:

Create for your team

If prompted about an existing MCP connector, click No, create new:

No, create new

Step 2: Connection Info

Fill in Name, Description, MCP server endpoint (from deploy output), Connection type Public network, click Next:

Connect

Step 3: OAuth Config

Fill in Client ID, Client Secret, Token URL, Authorization URL (all from deploy output), click Create and continue:

Field Value
Client ID lark-mcp-on-agentcore
Client Secret From deploy output (saved in .local/deploy-output.md), or retrieve with:
aws ssm get-parameter --name /lark-mcp-on-agentcore/oauth-client-secret --with-decryption --query 'Parameter.Value' --output text --region <your-region>
Token URL <OAuth endpoint>/token
Authorization URL <OAuth endpoint>/authorize

Authenticate

Step 4: Feishu Authorization

A Feishu authorization page automatically opens in the browser, click Authorize:

Feishu Authorization

After authorization, automatically returns to Quick:

Returning to Quick

Step 5: Publish

Choose visibility (default: only you; or "Everyone in your organization"), click Publish:

Publish

After publishing, the Connector detail page shows all available tools:

Connector Ready

Step 6: Use in Quick Desktop

Back in Quick Desktop, Settings → Capabilities → Connections, search "feishu", click Sign in:

Sign in

Once connected, Feishu tools are available in conversations.

Result

Once connected, ask Quick Desktop's built-in AI to operate Feishu — it calls this service to reach the Feishu APIs (the natural-language understanding and orchestration are handled by Quick Desktop's own model):

Demo

> Check my Feishu calendar for today
> Send a message to the product dev group: sync requirements tomorrow at 3pm
> Summarize last week's meeting notes into a doc
> Add a bug record to the Bitable

Every action runs under the user's own Feishu identity — data is isolated per user.