IBM watsonx 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 IBM watsonx through the 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 IBM watsonx, 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 IBM watsonx MCP Server
Connect IBM watsonx to any AI agent via MCP.
How to Connect IBM watsonx to Vercel AI SDK via MCP
Follow these steps to integrate the IBM watsonx 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 IBM watsonx and passes them to the LLM
Why Use Vercel AI SDK with the IBM watsonx MCP Server
Vercel AI SDK provides unique advantages when paired with IBM watsonx 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 IBM watsonx integration everywhere
Built-in streaming UI primitives let you display IBM watsonx 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
IBM watsonx + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the IBM watsonx MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query IBM watsonx in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate IBM watsonx tools and return structured JSON responses to any frontend
Chatbots with tool use: embed IBM watsonx capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with IBM watsonx through natural language queries
IBM watsonx MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect IBM watsonx to Vercel AI SDK via MCP:
create_prompt
Create a new prompt in watsonx
generate_chat
Use this for multi-turn conversational AI applications. Generate chat completions using a watsonx chat model
generate_embeddings
Useful for similarity search, clustering, and semantic analysis. Generate vector embeddings for input texts
generate_text
Use this for single-turn text generation tasks like content creation, summarization, or analysis. Generate text using a watsonx foundation model
get_model_details
Get detailed specifications for a specific foundation model
get_tuning_status
Get the status of a prompt tuning job
list_models
ai, including model IDs, families, capabilities, and lifecycle states. List available foundation models in watsonx
list_projects
List watsonx projects in your account
list_prompts
List saved prompts in the watsonx project
start_model_tuning
Requires a URL pointing to the training data in cloud storage. Start a prompt tuning job for a foundation model
Troubleshooting IBM watsonx MCP Server with Vercel AI SDK
Common issues when connecting IBM watsonx to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIBM watsonx + Vercel AI SDK FAQ
Common questions about integrating IBM watsonx 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 IBM watsonx 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 IBM watsonx to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.