How to Use the pgvector (Vector Database) MCP in Vercel AI SDK
Run raw vector queries and stream the database results directly to your React components using the Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect pgvector (Vector Database) MCP to Vercel AI SDK
Create your Vinkius account to connect pgvector (Vector Database) to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Stream vector searches directly to Vercel AI SDK
`search_vectors` is the tool your application triggers when a user submits a search query, instantly fetching relevant matches from your database. The Vercel AI SDK captures this output and streams the raw coordinates and metadata chunks straight to your frontend UI. You don't have to wait for the entire database payload to resolve before updating the view. This real-time rendering happens because the MCP Server handles the heavy database querying at the edge. By executing similarity calculations inside PostgreSQL and piping them through our server, your application maintains a low memory footprint.
Programmatic table creation at the edge
`create_table` sets up new vector-enabled tables dynamically when your application needs to isolate tenant data or spin up fresh indexes. The SDK calls this tool within your Next.js API routes without requiring a separate database migration framework. It establishes the correct dimensions for your embeddings in a single database roundtrip. Running this inside Edge Functions means you avoid cold starts while preparing your database. Once the table is live, your application can immediately start accepting new records without manual database intervention.
Dynamic index building for fast queries
`create_index` speeds up your similarity searches by organizing your embedding tables into searchable graphs. Your agent triggers this tool once a dataset grows past a few thousand rows, ensuring your p95 latency stays under 15ms. It runs asynchronously so your user interface never freezes during the index build. Using this tool via our managed MCP setup keeps your database connection pool from exhausting itself. The server manages the connections, letting your app focus purely on streaming UI updates.
Set up pgvector (Vector Database) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all pgvector (Vector Database) tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent pgvector (Vector Database) transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by pgvector. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about pgvector (Vector Database) MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the pgvector (Vector Database) MCP today
We host it, we monitor it, we maintain it. You just paste one token.
