DataStax Astra DB Vector 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 DataStax Astra DB Vector 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 DataStax Astra DB Vector, 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 DataStax Astra DB Vector MCP Server
Connect your Astra DB instance to any AI agent and seamlessly execute complex NoSQL and vector searches through natural conversation. Built on DataStax's powerful engine, this integration gives your AI agents full contextual access to your unstructured data layer.
The Vercel AI SDK gives every DataStax Astra DB Vector 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
- Vector Search — Perform Approximate Nearest Neighbor (ANN) similarity searches directly within your chat to find semantically related documents
- Document Management — Insert, discover, read, count, or delete exact NoSQL JSON documents across your active collections
- Collections — List and browse available tables and collections currently active in your configured Astra DB namespace
The DataStax Astra DB Vector 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 DataStax Astra DB Vector to Vercel AI SDK via MCP
Follow these steps to integrate the DataStax Astra DB Vector 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 DataStax Astra DB Vector and passes them to the LLM
Why Use Vercel AI SDK with the DataStax Astra DB Vector MCP Server
Vercel AI SDK provides unique advantages when paired with DataStax Astra DB Vector 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 DataStax Astra DB Vector integration everywhere
Built-in streaming UI primitives let you display DataStax Astra DB Vector 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
DataStax Astra DB Vector + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DataStax Astra DB Vector MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DataStax Astra DB Vector in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DataStax Astra DB Vector tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DataStax Astra DB Vector capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DataStax Astra DB Vector through natural language queries
DataStax Astra DB Vector MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect DataStax Astra DB Vector to Vercel AI SDK via MCP:
count_documents
Count total documents in an Astra DB collection
delete_document
Delete a document from an Astra DB collection
find_documents
Useful for standard NoSQL document retrieval. Find documents in an Astra DB collection
find_one_document
Find a single document in an Astra DB collection
insert_document
The document can include a pre-generated $vector key for embedding searches. Insert a new document into an Astra DB collection
list_collections
List all collections in the Astra DB namespace
vector_search
Perform an ANN vector similarity search on an Astra DB collection
Example Prompts for DataStax Astra DB Vector in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DataStax Astra DB Vector immediately.
"List the collections available in my Astra DB."
"Count the documents inside the 'products' collection."
"Find documents matching this filter in 'user_vectors': {"city": "San Francisco"}."
Troubleshooting DataStax Astra DB Vector MCP Server with Vercel AI SDK
Common issues when connecting DataStax Astra DB Vector to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDataStax Astra DB Vector + Vercel AI SDK FAQ
Common questions about integrating DataStax Astra DB Vector 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 DataStax Astra DB Vector 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 DataStax Astra DB Vector to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.