Apidog MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Apidog through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Apidog, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Apidog MCP Server
Connect your Apidog account to your AI agent and seamlessly access your API specifications, data models, and documentation through natural conversation.
The Vercel AI SDK gives every Apidog tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Discover Projects & Endpoints — Browse your active projects and list all HTTP routes without opening the Apidog client
- Inspect Endpoint Schemas — Fetch the complete anatomy of any route, including its HTTP method, dynamic path params, headers, and request/response body schemas
- Understand Data Models — Query active reusable schemas (DTOs, entities) defined throughout your API
- Export OpenAPI Specs — Extract the complete OpenAPI 3.0 JSON specification from your team’s project to give your AI maximum context for testing or code generation
The Apidog MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Apidog to Vercel AI SDK via MCP
Follow these steps to integrate the Apidog MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 5 tools from Apidog and passes them to the LLM
Why Use Vercel AI SDK with the Apidog MCP Server
Vercel AI SDK provides unique advantages when paired with Apidog through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Apidog integration everywhere
Built-in streaming UI primitives let you display Apidog tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Apidog + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Apidog MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Apidog in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Apidog tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Apidog capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Apidog through natural language queries
Apidog MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect Apidog to Vercel AI SDK via MCP:
export_openapi
Export the full OpenAPI 3.0 specification of an Apidog project as JSON
get_endpoint
Fetch the complete schema of a single API endpoint
list_endpoints
List all API endpoints defined within a specific Apidog project
list_projects
List all API projects in the connected Apidog organization
list_schemas
List all data model schemas (DTOs, entities) defined in an Apidog project
Example Prompts for Apidog in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Apidog immediately.
"List all active projects in our Apidog organization."
"Write a TypeScript interface for the response schema of the /users endpoint in the E-commerce project."
"Export the full OpenAPI JSON for the E-commerce project so we can generate unit tests."
Troubleshooting Apidog MCP Server with Vercel AI SDK
Common issues when connecting Apidog to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApidog + Vercel AI SDK FAQ
Common questions about integrating Apidog MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Apidog with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Apidog to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.