--- name: api-integration description: Integrate Apidog + OpenAPI specifications with your React app. Covers MCP server setup, type generation, and query layer integration. Use when setting up API clients, generating types from OpenAPI, or integrating with Apidog MCP. --- # API Integration (Apidog + MCP) Integrate OpenAPI specifications with your frontend using Apidog MCP for single source of truth. ## Goal The AI agent always uses the latest API specification to generate types and implement features correctly. ## Architecture ``` Apidog (or Backend) → OpenAPI 3.0/3.1 Spec → MCP Server (apidog-mcp-server) → AI Agent reads spec → Generate TypeScript types → TanStack Query hooks → React Components ``` ## Process ### 1. Expose OpenAPI from Apidog **Option A: Remote URL** - Export OpenAPI spec from Apidog - Host at a URL (e.g., `https://api.example.com/openapi.json`) **Option B: Local File** - Export OpenAPI spec to file - Place in project (e.g., `./api-spec/openapi.json`) ### 2. Wire MCP Server ```json // .claude/mcp.json or settings { "mcpServers": { "API specification": { "command": "npx", "args": [ "-y", "apidog-mcp-server@latest", "--oas=https://api.example.com/openapi.json" ] } } } ``` **With Local File:** ```json { "mcpServers": { "API specification": { "command": "npx", "args": [ "-y", "apidog-mcp-server@latest", "--oas=./api-spec/openapi.json" ] } } } ``` **Multiple APIs:** ```json { "mcpServers": { "Main API": { "command": "npx", "args": ["-y", "apidog-mcp-server@latest", "--oas=https://api.main.com/openapi.json"] }, "Auth API": { "command": "npx", "args": ["-y", "apidog-mcp-server@latest", "--oas=https://api.auth.com/openapi.json"] } } } ``` ### 3. Generate Types & Client Create `/src/api` directory for all API-related code: ``` /src/api/ ├── types.ts # Generated from OpenAPI ├── client.ts # HTTP client (axios/fetch) ├── queries/ # TanStack Query hooks │ ├── users.ts │ ├── posts.ts │ └── ... └── mutations/ # TanStack Mutation hooks ├── users.ts ├── posts.ts └── ... ``` **Option A: Hand-Written Types (Lightweight)** ```typescript // src/api/types.ts import { z } from 'zod' // Define schemas from OpenAPI export const UserSchema = z.object({ id: z.string(), name: z.string(), email: z.string().email(), createdAt: z.string().datetime(), }) export type User = z.infer export const CreateUserSchema = UserSchema.omit({ id: true, createdAt: true }) export type CreateUserDTO = z.infer ``` **Option B: Code Generation (Recommended for large APIs)** ```bash # Using openapi-typescript pnpm add -D openapi-typescript npx openapi-typescript https://api.example.com/openapi.json -o src/api/types.ts # Using orval pnpm add -D orval npx orval --input https://api.example.com/openapi.json --output src/api ``` ### 4. Create HTTP Client ```typescript // src/api/client.ts import axios from 'axios' import createAuthRefreshInterceptor from 'axios-auth-refresh' export const apiClient = axios.create({ baseURL: import.meta.env.VITE_API_URL, headers: { 'Content-Type': 'application/json', }, }) // Request interceptor - add auth token apiClient.interceptors.request.use((config) => { const token = localStorage.getItem('accessToken') if (token) { config.headers.Authorization = `Bearer ${token}` } return config }) // Response interceptor - handle token refresh const refreshAuth = async (failedRequest: any) => { try { const refreshToken = localStorage.getItem('refreshToken') const response = await axios.post('/auth/refresh', { refreshToken }) const { accessToken } = response.data localStorage.setItem('accessToken', accessToken) failedRequest.response.config.headers.Authorization = `Bearer ${accessToken}` return Promise.resolve() } catch (error) { localStorage.removeItem('accessToken') localStorage.removeItem('refreshToken') window.location.href = '/login' return Promise.reject(error) } } createAuthRefreshInterceptor(apiClient, refreshAuth, { statusCodes: [401], pauseInstanceWhileRefreshing: true, }) ``` ### 5. Build Query Layer **Feature-based query organization:** ```typescript // src/api/queries/users.ts import { queryOptions } from '@tanstack/react-query' import { apiClient } from '../client' import { User, UserSchema } from '../types' // Query key factory export const usersKeys = { all: ['users'] as const, lists: () => [...usersKeys.all, 'list'] as const, list: (filters: string) => [...usersKeys.lists(), { filters }] as const, details: () => [...usersKeys.all, 'detail'] as const, detail: (id: string) => [...usersKeys.details(), id] as const, } // API functions async function fetchUsers(): Promise { const response = await apiClient.get('/users') return z.array(UserSchema).parse(response.data) } async function fetchUser(id: string): Promise { const response = await apiClient.get(`/users/${id}`) return UserSchema.parse(response.data) } // Query options export function usersListQueryOptions() { return queryOptions({ queryKey: usersKeys.lists(), queryFn: fetchUsers, staleTime: 30_000, }) } export function userQueryOptions(id: string) { return queryOptions({ queryKey: usersKeys.detail(id), queryFn: () => fetchUser(id), staleTime: 60_000, }) } // Hooks export function useUsers() { return useQuery(usersListQueryOptions()) } export function useUser(id: string) { return useQuery(userQueryOptions(id)) } ``` **Mutations:** ```typescript // src/api/mutations/users.ts import { useMutation, useQueryClient } from '@tanstack/react-query' import { apiClient } from '../client' import { CreateUserDTO, User, UserSchema } from '../types' import { usersKeys } from '../queries/users' async function createUser(data: CreateUserDTO): Promise { const response = await apiClient.post('/users', data) return UserSchema.parse(response.data) } export function useCreateUser() { const queryClient = useQueryClient() return useMutation({ mutationFn: createUser, onSuccess: (newUser) => { // Add to cache queryClient.setQueryData(usersKeys.detail(newUser.id), newUser) // Invalidate list queryClient.invalidateQueries({ queryKey: usersKeys.lists() }) }, }) } ``` ## Validation Strategy **Always validate API responses:** ```typescript import { z } from 'zod' // Runtime validation async function fetchUser(id: string): Promise { const response = await apiClient.get(`/users/${id}`) try { return UserSchema.parse(response.data) } catch (error) { console.error('API response validation failed:', error) throw new Error('Invalid API response format') } } ``` **Or use safe parse:** ```typescript const result = UserSchema.safeParse(response.data) if (!result.success) { console.error('Validation errors:', result.error.errors) throw new Error('Invalid user data') } return result.data ``` ## Error Handling **Global error handling:** ```typescript import { QueryCache } from '@tanstack/react-query' const queryCache = new QueryCache({ onError: (error, query) => { if (axios.isAxiosError(error)) { if (error.response?.status === 404) { toast.error('Resource not found') } else if (error.response?.status === 500) { toast.error('Server error. Please try again.') } } }, }) ``` ## Best Practices 1. **Single Source of Truth** - OpenAPI spec via MCP is authoritative 2. **Validate Responses** - Use Zod schemas for runtime validation 3. **Encapsulation** - Keep all API details in `/src/api` 4. **Type Safety** - Export types from generated/hand-written schemas 5. **Error Handling** - Handle auth errors, network errors, validation errors 6. **Query Key Factories** - Hierarchical keys for flexible invalidation 7. **Feature-Based Organization** - Group queries/mutations by feature ## Workflow with AI Agent 1. **Agent reads latest OpenAPI spec** via Apidog MCP 2. **Agent generates or updates** types in `/src/api/types.ts` 3. **Agent implements queries** following established patterns 4. **Agent creates mutations** with proper invalidation 5. **Agent updates components** to use new API hooks ## Example: Full Feature Implementation ```typescript // 1. Types (generated or hand-written) // src/api/types.ts export const TodoSchema = z.object({ id: z.string(), text: z.string(), completed: z.boolean(), }) export type Todo = z.infer // 2. Queries // src/api/queries/todos.ts export const todosKeys = { all: ['todos'] as const, lists: () => [...todosKeys.all, 'list'] as const, } export function todosQueryOptions() { return queryOptions({ queryKey: todosKeys.lists(), queryFn: async () => { const response = await apiClient.get('/todos') return z.array(TodoSchema).parse(response.data) }, }) } // 3. Mutations // src/api/mutations/todos.ts export function useCreateTodo() { const queryClient = useQueryClient() return useMutation({ mutationFn: async (text: string) => { const response = await apiClient.post('/todos', { text }) return TodoSchema.parse(response.data) }, onSuccess: () => { queryClient.invalidateQueries({ queryKey: todosKeys.lists() }) }, }) } // 4. Component // src/features/todos/TodoList.tsx export function TodoList() { const { data: todos } = useQuery(todosQueryOptions()) const createTodo = useCreateTodo() return (
{todos?.map(todo => )} createTodo.mutate(text)} />
) } ``` ## Related Skills - **tanstack-query** - Query and mutation patterns - **tooling-setup** - TypeScript configuration for generated types - **core-principles** - Project structure with `/src/api` directory