( 15 options: OAuthUserConfig
& { 16 issuer: string 17 organizationId?: string 18 connectionId?: string 19 domain?: string 20 } 21 ): OAuthConfig
{ 22 const { issuer, organizationId, connectionId, domain } = options 23 24 return { 25 id: "scalekit", 26 name: "Scalekit", 27 type: "oidc", 28 issuer, 29 authorization: { 30 params: { 31 scope: "openid email profile", 32 ...(connectionId && { connection_id: connectionId }), 33 ...(organizationId && { organization_id: organizationId }), 34 ...(domain && { domain }), 35 }, 36 }, 37 profile(profile) { 38 return { 39 id: profile.sub, 40 name: profile.name ?? `${profile.given_name} ${profile.family_name}`, 41 email: profile.email, 42 image: profile.picture ?? null, 43 } 44 }, 45 style: { bg: "#6f42c1", text: "#fff" }, 46 options, 47 } 48 } ``` After PR #13392 merges, replace the local import with: ```typescript 1 import Scalekit from "next-auth/providers/scalekit" ``` ### 4. Configure `auth.ts` [Section titled “4. Configure auth.ts”](#4-configure-authts) Create `auth.ts` in your project root: ```typescript 1 import NextAuth from "next-auth" 2 import Scalekit from "./providers/scalekit" // → "next-auth/providers/scalekit" after PR #13392 3 4 export const { handlers, auth, signIn, signOut } = NextAuth({ 5 providers: [ 6 Scalekit({ 7 issuer: process.env.AUTH_SCALEKIT_ISSUER!, 8 clientId: process.env.AUTH_SCALEKIT_ID!, 9 clientSecret: process.env.AUTH_SCALEKIT_SECRET!, 10 // Routing: set one of these (see step 7 for strategy) 11 connectionId: process.env.AUTH_SCALEKIT_CONNECTION_ID, 12 }), 13 ], 14 basePath: "/auth", 15 session: { strategy: "jwt" }, 16 }) ``` `basePath: "/auth"` is required to match the redirect URI you registered in step 1. Without it, Auth.js uses `/api/auth` and the Scalekit callback will fail. ### 5. Set environment variables [Section titled “5. Set environment variables”](#5-set-environment-variables) .env.local ```bash 1 # Generate with: npx auth secret 2 AUTH_SECRET= 3 4 # From Scalekit dashboard → API Keys 5 AUTH_SCALEKIT_ISSUER=https://yourenv.scalekit.dev 6 AUTH_SCALEKIT_ID=skc_... 7 AUTH_SCALEKIT_SECRET= 8 9 # Connection ID for development routing (conn_...) 10 # In production, resolve this dynamically per tenant — see step 7 11 AUTH_SCALEKIT_CONNECTION_ID=conn_... ``` `AUTH_SECRET` is not optional. Auth.js uses it to sign JWTs and encrypt session cookies. Missing it causes sign-in to fail silently. ### 6. Wire up route handlers [Section titled “6. Wire up route handlers”](#6-wire-up-route-handlers) Create `app/auth/[...nextauth]/route.ts`: ```typescript 1 import { handlers } from "@/auth" 2 export const { GET, POST } = handlers ``` This exposes `GET /auth/callback/scalekit` and `POST /auth/signout` — the endpoints Auth.js needs. The directory must be `app/auth/` (not `app/api/auth/`) to match the `basePath` you configured. ### 7. SSO routing strategies [Section titled “7. SSO routing strategies”](#7-sso-routing-strategies) Scalekit resolves which IdP connection to activate using these params (highest to lowest precedence): ```typescript 1 Scalekit({ 2 issuer: process.env.AUTH_SCALEKIT_ISSUER!, 3 clientId: process.env.AUTH_SCALEKIT_ID!, 4 clientSecret: process.env.AUTH_SCALEKIT_SECRET!, 5 6 // Option A — exact connection (dev / single-tenant use) 7 connectionId: "conn_...", 8 9 // Option B — org's active connection (multi-tenant: look up org from user's DB record) 10 organizationId: "org_...", 11 12 // Option C — resolve org from email domain (useful at login prompt) 13 domain: "acme.com", 14 }) ``` In production, don’t hardcode these values. Store `organizationId` or `connectionId` per tenant in your database, then construct the `signIn()` call dynamically based on the authenticated user’s org: ```typescript 1 // Example: look up org at sign-in time 2 const org = await db.organizations.findByDomain(emailDomain) 3 4 await signIn("scalekit", { 5 organizationId: org.scalekitOrgId, 6 redirectTo: "/dashboard", 7 }) ``` ### 8. Trigger sign-in and read the session [Section titled “8. Trigger sign-in and read the session”](#8-trigger-sign-in-and-read-the-session) A server component reads the session, and a sign-in form triggers the flow: app/page.tsx ```typescript 1 import { auth, signIn } from "@/auth" 2 3 export default async function Home() { 4 const session = await auth() 5 6 if (session) { 7 return ( 8
Signed in as {session.user?.email}
10You can close this tab and return to the app. The original page will update automatically.
8Team Size: ${report.team_size}
89Total Issues: ${report.issues.total}
90Completed Issues: ${report.issues.completed}
91In Progress: ${report.issues.in_progress}
92 ${report.meetings ? `Total Meetings: ${report.meetings.total}
` : ''} 93 94 95 `; 96 97 // Send report via email 98 const emailResults = await Promise.all( 99 team_members.map(member => 100 context.tools.execute({ 101 tool: 'send_email', 102 parameters: { 103 to: [member], 104 subject: `Team Report - ${start_date} to ${end_date}`, 105 html_body: htmlReport 106 } 107 }) 108 ) 109 ); 110 111 return { 112 report_url: 'Generated and sent via email', 113 summary: report, 114 sent_to: team_members.filter((_, index) => emailResults[index].status === 'sent') 115 }; 116 } 117 }; ``` ## Registering custom tools [Section titled “Registering custom tools”](#registering-custom-tools) ### Using the API [Section titled “Using the API”](#using-the-api) Register your custom tools with Agent Auth: * JavaScript ```javascript 1 // Register a custom tool 2 const registeredTool = await agentConnect.tools.register({ 3 ...sendWelcomeEmail, 4 organization_id: 'your_org_id' 5 }); 6 7 console.log('Tool registered:', registeredTool.id); ``` * Python ```python 1 # Register a custom tool 2 registered_tool = agent_connect.tools.register( 3 **send_welcome_email, 4 organization_id='your_org_id' 5 ) 6 7 print(f'Tool registered: {registered_tool.id}') ``` * cURL ```bash 1 curl -X POST "${SCALEKIT_BASE_URL}/v1/connect/tools/custom" \ 2 -H "Authorization: Bearer ${SCALEKIT_CLIENT_SECRET}" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "name": "send_welcome_email", 6 "display_name": "Send Welcome Email", 7 "description": "Send a personalized welcome email to new users", 8 "category": "communication", 9 "provider": "custom", 10 "input_schema": {...}, 11 "output_schema": {...}, 12 "implementation": "async (parameters, context) => {...}" 13 }' ``` ### Using the dashboard [Section titled “Using the dashboard”](#using-the-dashboard) 1. In the [Scalekit dashboard](https://app.scalekit.com), go to **AgentKit** > **Tools** 2. Click **Create Custom Tool** 3. Fill in the tool definition form 4. Test the tool with sample parameters 5. Save and activate the tool ## Tool context and utilities [Section titled “Tool context and utilities”](#tool-context-and-utilities) The `context` object provides access to: ### Standard tools [Section titled “Standard tools”](#standard-tools) Execute any standard Agent Auth tool: ```javascript 1 // Execute standard tools 2 const result = await context.tools.execute({ 3 tool: 'send_email', 4 parameters: { ... } 5 }); 6 7 // Execute with specific connected account 8 const result = await context.tools.execute({ 9 connected_account_id: 'specific_account', 10 tool: 'send_email', 11 parameters: { ... } 12 }); ``` ### Connected accounts [Section titled “Connected accounts”](#connected-accounts) Access connected account information: ```javascript 1 // Get connected account details 2 const account = await context.accounts.get(accountId); 3 4 // List accounts for a user 5 const accounts = await context.accounts.list({ 6 identifier: 'user_123', 7 provider: 'gmail' 8 }); ``` ### Utilities [Section titled “Utilities”](#utilities) Access utility functions: ```javascript 1 // Generate unique IDs 2 const id = context.utils.generateId(); 3 4 // Format dates 5 const formatted = context.utils.formatDate(date, 'YYYY-MM-DD'); 6 7 // Validate email 8 const isValid = context.utils.isValidEmail(email); 9 10 // HTTP requests 11 const response = await context.utils.httpRequest({ 12 url: 'https://api.example.com/data', 13 method: 'GET', 14 headers: { 'Authorization': 'Bearer token' } 15 }); ``` ### Error handling [Section titled “Error handling”](#error-handling) Throw structured errors: ```javascript 1 // Throw validation error 2 throw new context.errors.ValidationError('Invalid email format'); 3 4 // Throw business logic error 5 throw new context.errors.BusinessLogicError('User not found'); 6 7 // Throw external API error 8 throw new context.errors.ExternalAPIError('GitHub API returned 500'); ``` ## Testing custom tools [Section titled “Testing custom tools”](#testing-custom-tools) ### Unit testing [Section titled “Unit testing”](#unit-testing) Test custom tools in isolation: ```javascript 1 // Mock context for testing 2 const mockContext = { 3 tools: { 4 execute: jest.fn().mockResolvedValue({ 5 message_id: 'test_msg_123', 6 status: 'sent' 7 }) 8 }, 9 utils: { 10 generateId: () => 'test_id_123', 11 formatDate: (date, format) => '2024-01-15' 12 } 13 }; 14 15 // Test custom tool 16 const result = await sendWelcomeEmail.implementation({ 17 user_name: 'John Doe', 18 user_email: 'john@example.com', 19 company_name: 'Acme Corp' 20 }, mockContext); 21 22 expect(result.status).toBe('sent'); 23 expect(mockContext.tools.execute).toHaveBeenCalledWith({ 24 tool: 'send_email', 25 parameters: expect.objectContaining({ 26 to: ['john@example.com'], 27 subject: 'Welcome to Acme Corp!' 28 }) 29 }); ``` ### Integration testing [Section titled “Integration testing”](#integration-testing) Test with real Agent Auth: ```javascript 1 // Test custom tool with real connections 2 const testResult = await agentConnect.tools.execute({ 3 connected_account_id: 'test_gmail_account', 4 tool: 'send_welcome_email', 5 parameters: { 6 user_name: 'Test User', 7 user_email: 'test@example.com', 8 company_name: 'Test Company' 9 } 10 }); 11 12 console.log('Test result:', testResult); ``` ## Best practices [Section titled “Best practices”](#best-practices) ### Tool design [Section titled “Tool design”](#tool-design) * **Single responsibility**: Each tool should have a clear, single purpose * **Consistent naming**: Use descriptive, consistent naming conventions * **Clear documentation**: Provide detailed descriptions and examples * **Error handling**: Implement comprehensive error handling * **Input validation**: Validate all input parameters ### Performance optimization [Section titled “Performance optimization”](#performance-optimization) * **Parallel execution**: Use Promise.all() for independent operations * **Caching**: Cache frequently accessed data * **Batch operations**: Group similar operations together * **Timeout handling**: Set appropriate timeouts for external calls ### Security considerations [Section titled “Security considerations”](#security-considerations) * **Input sanitization**: Sanitize all user inputs * **Permission checks**: Verify user permissions before execution * **Sensitive data**: Handle sensitive data securely * **Rate limiting**: Implement rate limiting for resource-intensive operations ## Custom tool examples [Section titled “Custom tool examples”](#custom-tool-examples) ### Slack notification tool [Section titled “Slack notification tool”](#slack-notification-tool) ```javascript 1 const sendSlackNotification = { 2 name: 'send_slack_notification', 3 display_name: 'Send Slack Notification', 4 description: 'Send formatted notifications to Slack with optional mentions', 5 category: 'communication', 6 provider: 'custom', 7 input_schema: { 8 type: 'object', 9 properties: { 10 channel: { type: 'string' }, 11 message: { type: 'string' }, 12 severity: { type: 'string', enum: ['info', 'warning', 'error'] }, 13 mentions: { type: 'array', items: { type: 'string' } } 14 }, 15 required: ['channel', 'message'] 16 }, 17 output_schema: { 18 type: 'object', 19 properties: { 20 message_ts: { type: 'string' }, 21 permalink: { type: 'string' } 22 } 23 }, 24 implementation: async (parameters, context) => { 25 const { channel, message, severity = 'info', mentions = [] } = parameters; 26 27 const colors = { 28 info: 'good', 29 warning: 'warning', 30 error: 'danger' 31 }; 32 33 const mentionText = mentions.length > 0 ? 34 `${mentions.map(m => `<@${m}>`).join(' ')} ` : ''; 35 36 return await context.tools.execute({ 37 tool: 'send_message', 38 parameters: { 39 channel, 40 text: `${mentionText}${message}`, 41 attachments: [ 42 { 43 color: colors[severity], 44 text: message, 45 ts: Math.floor(Date.now() / 1000) 46 } 47 ] 48 } 49 }); 50 } 51 }; ``` ### Calendar scheduling tool [Section titled “Calendar scheduling tool”](#calendar-scheduling-tool) ```javascript 1 const scheduleTeamMeeting = { 2 name: 'schedule_team_meeting', 3 display_name: 'Schedule Team Meeting', 4 description: 'Find available time slots and schedule team meetings', 5 category: 'scheduling', 6 provider: 'custom', 7 input_schema: { 8 type: 'object', 9 properties: { 10 attendees: { type: 'array', items: { type: 'string' } }, 11 duration: { type: 'number', minimum: 15 }, 12 preferred_times: { type: 'array', items: { type: 'string' } }, 13 meeting_title: { type: 'string' }, 14 meeting_description: { type: 'string' } 15 }, 16 required: ['attendees', 'duration', 'meeting_title'] 17 }, 18 output_schema: { 19 type: 'object', 20 properties: { 21 event_id: { type: 'string' }, 22 scheduled_time: { type: 'string' }, 23 attendees_notified: { type: 'number' } 24 } 25 }, 26 implementation: async (parameters, context) => { 27 const { attendees, duration, preferred_times, meeting_title, meeting_description } = parameters; 28 29 // Find available time slots 30 const availableSlots = await context.tools.execute({ 31 tool: 'find_available_slots', 32 parameters: { 33 attendees, 34 duration, 35 preferred_times: preferred_times || [] 36 } 37 }); 38 39 if (availableSlots.length === 0) { 40 throw new context.errors.BusinessLogicError('No available time slots found'); 41 } 42 43 // Schedule the meeting at the first available slot 44 const selectedSlot = availableSlots[0]; 45 const event = await context.tools.execute({ 46 tool: 'create_event', 47 parameters: { 48 title: meeting_title, 49 description: meeting_description, 50 start_time: selectedSlot.start_time, 51 end_time: selectedSlot.end_time, 52 attendees 53 } 54 }); 55 56 return { 57 event_id: event.event_id, 58 scheduled_time: selectedSlot.start_time, 59 attendees_notified: attendees.length 60 }; 61 } 62 }; ``` ## Versioning and deployment [Section titled “Versioning and deployment”](#versioning-and-deployment) ### Version management [Section titled “Version management”](#version-management) Version your custom tools for backward compatibility: ```javascript 1 const toolV2 = { 2 ...originalTool, 3 version: '2.0.0', 4 // Updated implementation 5 }; 6 7 // Deploy new version 8 await agentConnect.tools.register(toolV2); 9 10 // Deprecate old version 11 await agentConnect.tools.deprecate(originalTool.name, '1.0.0'); ``` ### Deployment strategies [Section titled “Deployment strategies”](#deployment-strategies) * **Blue-green deployment**: Deploy new version alongside old version * **Canary deployment**: Gradually roll out to subset of users * **Feature flags**: Use feature flags to control tool availability * **Rollback strategy**: Plan for quick rollback if issues arise Custom tools unlock the full potential of Agent Auth by allowing you to create specialized workflows that perfectly match your business needs. With proper design, testing, and deployment practices, you can build powerful tools that enhance your team’s productivity and streamline complex operations. --- # DOCUMENT BOUNDARY --- # Scalekit optimized built-in tools > Call Scalekit's pre-built tools across 100+ connectors. Each tool returns structured, LLM-ready output with no endpoint URLs, auth headers, or parsing needed. Scalekit ships pre-built tools for every connector in the catalog: Gmail, Slack, GitHub, Salesforce, Notion, Linear, HubSpot, and more. Each tool has an LLM-ready schema and returns structured output. Your agent passes inputs; Scalekit injects the user’s credentials and handles the API call. This page assumes you have an `ACTIVE` connected account for the user. If not, see [Authorize a user](/agentkit/tools/authorize/). ## Get available tools for a user [Section titled “Get available tools for a user”](#get-available-tools-for-a-user) Use `list_scoped_tools` / `listScopedTools` to get the tools this specific user is authorized to call. **This is the list you pass to your LLM.** * Python ```python 1 from google.protobuf.json_format import MessageToDict 2 3 scoped_response, _ = actions.tools.list_scoped_tools( 4 identifier="user_123", 5 filter={"connection_names": ["gmail"]}, # optional; omit for all connectors 6 page_size=100, # fetch beyond the default page 7 ) 8 for scoped_tool in scoped_response.tools: 9 definition = MessageToDict(scoped_tool.tool).get("definition", {}) 10 print(definition.get("name")) 11 print(definition.get("input_schema")) # JSON Schema; pass directly to your LLM ``` * Node.js ```typescript 1 const { tools } = await scalekit.tools.listScopedTools('user_123', { 2 filter: { connectionNames: ['gmail'] }, // use filter: {} to list every connector 3 pageSize: 100, // fetch beyond the default page 4 }); 5 for (const tool of tools) { 6 const { name, input_schema } = tool.tool.definition; 7 console.log(name, input_schema); // JSON Schema; pass directly to your LLM 8 } ``` To explore tools interactively, use the playground at [**Scalekit Dashboard**](https://app.scalekit.com) **> AgentKit > Playground**. ## Execute a tool [Section titled “Execute a tool”](#execute-a-tool) Use `execute_tool` / `executeTool` to run a named tool for a specific user. Scalekit identifies the connected account with: * User identifier (`identifier`) + Connection name as shown in the Scalekit Dashboard (`connection_name`), or * Connected Account ID (`connected_account_id`) — autogenerated by Scalekit and visible in the Scalekit Dashboard - Python ```python 1 # connected account is selected using the user identifier and the connection name 2 result = actions.execute_tool( 3 tool_name="gmail_fetch_mails", 4 identifier="user_123", 5 connection_name="gmail", 6 tool_input={"query": "is:unread", "max_results": 5}, 7 ) 8 print(result.data) 9 10 # alternatively, use the connected account ID 11 # result = actions.execute_tool( 12 # tool_name="gmail_fetch_mails", 13 # connected_account_id="ca_xxxxxx", 14 # tool_input={"query": "is:unread", "max_results": 5}, 15 # ) ``` - Node.js ```typescript 1 // connected account is selected using the user identifier and the connector 2 const result = await scalekit.actions.executeTool({ 3 toolName: 'gmail_fetch_mails', 4 identifier: 'user_123', 5 connector: 'gmail', 6 toolInput: { query: 'is:unread', max_results: 5 }, 7 }); 8 console.log(result.data); 9 10 // alternatively, use the connected account ID 11 // const result = await scalekit.actions.executeTool({ 12 // toolName: 'gmail_fetch_mails', 13 // connectedAccountId: 'ca_xxxxxx', 14 // toolInput: { query: 'is:unread', max_results: 5 }, 15 // }); ``` ## Wire into your LLM [Section titled “Wire into your LLM”](#wire-into-your-llm) The full agent loop: fetch scoped tools → pass to LLM → execute tool calls → feed results back. * Python ```python 1 import anthropic 2 from google.protobuf.json_format import MessageToDict 3 4 client = anthropic.Anthropic() 5 6 # 1. Fetch tools scoped to this user 7 scoped_response, _ = actions.tools.list_scoped_tools( 8 identifier="user_123", 9 filter={"connection_names": ["gmail"]}, 10 page_size=100, # fetch beyond the default page so no connector tools are missed 11 ) 12 llm_tools = [ 13 { 14 "name": MessageToDict(t.tool).get("definition", {}).get("name"), 15 "description": MessageToDict(t.tool).get("definition", {}).get("description"), 16 "input_schema": MessageToDict(t.tool).get("definition", {}).get("input_schema", {}), 17 } 18 for t in scoped_response.tools 19 ] 20 21 # 2. Send to LLM 22 messages = [{"role": "user", "content": "Summarize my last 5 unread emails"}] 23 response = client.messages.create( 24 model="claude-sonnet-4-6", 25 max_tokens=1024, 26 tools=llm_tools, 27 messages=messages, 28 ) 29 30 # 3. Execute tool calls and feed results back 31 for block in response.content: 32 if block.type == "tool_use": 33 tool_result = actions.execute_tool( 34 tool_name=block.name, 35 identifier="user_123", 36 tool_input=block.input, 37 ) 38 messages.append({"role": "assistant", "content": response.content}) 39 messages.append({ 40 "role": "user", 41 "content": [{"type": "tool_result", "tool_use_id": block.id, "content": str(tool_result.data)}], 42 }) ``` * Node.js ```typescript 1 import Anthropic from '@anthropic-ai/sdk'; 2 3 const anthropic = new Anthropic(); 4 5 // 1. Fetch tools scoped to this user 6 const { tools } = await scalekit.tools.listScopedTools('user_123', { 7 filter: { connectionNames: ['gmail'] }, 8 pageSize: 100, // fetch beyond the default page so no connector tools are missed 9 }); 10 const llmTools = tools.map((t) => ({ 11 name: t.tool.definition.name, 12 description: t.tool.definition.description, 13 input_schema: t.tool.definition.input_schema, 14 })); 15 16 // 2. Send to LLM 17 const messages: Anthropic.MessageParam[] = [ 18 { role: 'user', content: 'Summarize my last 5 unread emails' }, 19 ]; 20 const response = await anthropic.messages.create({ 21 model: 'claude-sonnet-4-6', 22 max_tokens: 1024, 23 tools: llmTools, 24 messages, 25 }); 26 27 // 3. Execute tool calls and feed results back 28 for (const block of response.content) { 29 if (block.type === 'tool_use') { 30 const toolResult = await scalekit.actions.executeTool({ 31 toolName: block.name, 32 identifier: 'user_123', 33 toolInput: block.input as Record