Apiary MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Apiary 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 Apiary, 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 Apiary MCP Server
Connect your Apiary workspace to your AI agent and take full control of your API design, specification, and validation processes through natural conversation.
The Vercel AI SDK gives every Apiary tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Read API Blueprints — Fetch raw Markdown-based API Blueprints or Swagger files defining endpoints, methods, and parameters without leaving your editor
- Publish Documentation — Instantly update your Apiary projects with new markdown code. Mock servers and public documentation sync automatically
- Run Dredd Tests — Validate your backend implementation against the blueprint specifications using integrated tests
- Team Management — Query team API projects, list team members, and manage your engineering ecosystem intuitively
The Apiary MCP Server exposes 10 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 Apiary to Vercel AI SDK via MCP
Follow these steps to integrate the Apiary 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 10 tools from Apiary and passes them to the LLM
Why Use Vercel AI SDK with the Apiary MCP Server
Vercel AI SDK provides unique advantages when paired with Apiary 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 Apiary integration everywhere
Built-in streaming UI primitives let you display Apiary 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
Apiary + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Apiary MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Apiary in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Apiary tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Apiary capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Apiary through natural language queries
Apiary MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Apiary to Vercel AI SDK via MCP:
get_api
Get the full API Blueprint source code of an Apiary API project
get_doc_url
Get the documentation and mock server URLs for an Apiary API project
get_me
Get the authenticated Apiary user profile
get_team
Get details of a specific Apiary team
list_apis
Apiary is an API design-first platform. List all API projects on Apiary
list_team_apis
List all API projects belonging to a specific Apiary team
list_team_members
List all members of an Apiary team
list_teams
List all teams the authenticated user belongs to on Apiary
publish_blueprint
Use with valid Markdown blueprint/Swagger. Publish (update) the API Blueprint of an Apiary API project
run_tests
Get or run Dredd-style API tests against an Apiary project
Example Prompts for Apiary in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Apiary immediately.
"Get the API Blueprint code for my project named 'payments-gateway'."
"List all team members of the 'frontend-team' in Apiary."
"Update my 'users-api' with this new blueprint code..."
Troubleshooting Apiary MCP Server with Vercel AI SDK
Common issues when connecting Apiary to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpApiary + Vercel AI SDK FAQ
Common questions about integrating Apiary 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 Apiary 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 Apiary to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.