Weaviate MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Weaviate 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 Weaviate, 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 Weaviate MCP Server
Connect your Weaviate instance to any AI agent and harness the power of vector search and semantic data management through natural conversation.
The Vercel AI SDK gives every Weaviate tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Semantic Search — Perform nearest neighbor vector similarity searches to find relevant content based on context and meaning
- Schema Management — Retrieve the complete instance schema or specific class definitions to understand your data structure
- Object Discovery — Browse and list data objects within any class, including full property values and vector data
- Deep Data Audit — Retrieve specific data objects by their UUID to inspect metadata and internal configurations
- Cluster Monitoring — Monitor operational health, node status, and resource usage of your Weaviate cluster nodes
- Instance Metadata — View server version, enabled modules, and high-level configuration details directly from your agent
The Weaviate MCP Server exposes 7 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 Weaviate to Vercel AI SDK via MCP
Follow these steps to integrate the Weaviate 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 7 tools from Weaviate and passes them to the LLM
Why Use Vercel AI SDK with the Weaviate MCP Server
Vercel AI SDK provides unique advantages when paired with Weaviate 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 Weaviate integration everywhere
Built-in streaming UI primitives let you display Weaviate 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
Weaviate + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Weaviate MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Weaviate in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Weaviate tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Weaviate capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Weaviate through natural language queries
Weaviate MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Weaviate to Vercel AI SDK via MCP:
get_class_schema
Retrieves the schema definition for a specific class (collection)
get_cluster_nodes
Retrieves operational information about the Weaviate cluster nodes
get_full_schema
Retrieves the complete Weaviate schema (all collections)
get_instance_metadata
Retrieves metadata about the Weaviate instance
get_object_details
Retrieves a specific data object by its UUID
list_objects
Supports basic pagination via limit. Lists data objects within a specific class
search_near_vector
Provide a class name and a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search
Example Prompts for Weaviate in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Weaviate immediately.
"List all classes in my Weaviate schema."
"Search the 'Article' class for items similar to this vector: [0.12, -0.05, 0.88, ...]."
"What is the current health status of my Weaviate cluster nodes?"
Troubleshooting Weaviate MCP Server with Vercel AI SDK
Common issues when connecting Weaviate to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWeaviate + Vercel AI SDK FAQ
Common questions about integrating Weaviate 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 Weaviate 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 Weaviate to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.