Vald MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vald through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Vald, 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 Vald MCP Server
Connect your Vald cluster to any AI agent and bring distributed, high-speed approximate nearest neighbor (ANN) vector search directly to your conversational workflow.
The Vercel AI SDK gives every Vald tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the 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
- Vector Search — Perform rapid semantic searches across millions of embedded data points just by querying the agent.
- Data Ingestion — Insert new high-dimensional vectors directly into the Vald index for instant future retrievability in your RAG pipelines.
- Index Management — Update the vector representations of existing records or permanently remove specific items from the engine cluster.
- Cluster Health — Automatically retrieve operational system information, agent health statuses, and node details regarding your active Vald deployment.
The Vald MCP Server exposes 6 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 Vald to Vercel AI SDK via MCP
Follow these steps to integrate the Vald 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 6 tools from Vald and passes them to the LLM
Why Use Vercel AI SDK with the Vald MCP Server
Vercel AI SDK provides unique advantages when paired with Vald 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 Vald integration everywhere
Built-in streaming UI primitives let you display Vald 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
Vald + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vald MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vald in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vald tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vald capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vald through natural language queries
Vald MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Vald to Vercel AI SDK via MCP:
delete_vector
This action is irreversible. Permanently removes a vector from the Vald index
get_engine_info
Retrieves operational information and health of the Vald engine
get_vector_details
Retrieves the raw vector data for a specific ID
insert_vector
Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index
search_vectors
Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
update_vector
Provide the existing ID and new vector array. Updates an existing vector in the Vald index
Example Prompts for Vald in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vald immediately.
"Is the Vald cluster operational right now?"
"Can you check the vector details stored for UUID 'user-profile-89'?"
"Update the existing item 'context-fragment-12' with this new 1536-dimensional array: [0.38, -0.19, 0...]."
Troubleshooting Vald MCP Server with Vercel AI SDK
Common issues when connecting Vald to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVald + Vercel AI SDK FAQ
Common questions about integrating Vald 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 Vald 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 Vald to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.