Haystack (deepset Cloud) 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 Haystack (deepset Cloud) through 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 Haystack (deepset Cloud), 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 Haystack (deepset Cloud) MCP Server
Connect your deepset Cloud account to any AI agent and manage your Haystack-powered RAG pipelines through natural conversation.
The Vercel AI SDK gives every Haystack (deepset Cloud) 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
- Workspaces — List and manage isolated environments for different search contexts
- Pipelines — Visualize NLP topologies, including embedding nodes and retriever logic
- Run Search — Dispatch immediate LLM or Retriever invocations to test RAG pipelines
- Document Management — List files and inspect metadata attached to source document embeddings
- Vector Search — Trigger dense or sparse vector searches over indexed enterprise knowledge
The Haystack (deepset Cloud) 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 Haystack (deepset Cloud) to Vercel AI SDK via MCP
Follow these steps to integrate the Haystack (deepset Cloud) 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 Haystack (deepset Cloud) and passes them to the LLM
Why Use Vercel AI SDK with the Haystack (deepset Cloud) MCP Server
Vercel AI SDK provides unique advantages when paired with Haystack (deepset Cloud) 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 Haystack (deepset Cloud) integration everywhere
Built-in streaming UI primitives let you display Haystack (deepset Cloud) 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
Haystack (deepset Cloud) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Haystack (deepset Cloud) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Haystack (deepset Cloud) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Haystack (deepset Cloud) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Haystack (deepset Cloud) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Haystack (deepset Cloud) through natural language queries
Haystack (deepset Cloud) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Haystack (deepset Cloud) to Vercel AI SDK via MCP:
get_file
Get file metadata
get_pipeline
Get pipeline details
list_files
List uploaded files
list_pipelines
List pipelines
list_workspaces
List workspaces
run_pipeline
Run a pipeline search
search_documents
Search documents in index
Example Prompts for Haystack (deepset Cloud) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Haystack (deepset Cloud) immediately.
"List all pipelines in my 'production' workspace"
"Run a search for 'AI security compliance' using the default-rag pipeline"
"List the files in my 'knowledge-base' workspace"
Troubleshooting Haystack (deepset Cloud) MCP Server with Vercel AI SDK
Common issues when connecting Haystack (deepset Cloud) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHaystack (deepset Cloud) + Vercel AI SDK FAQ
Common questions about integrating Haystack (deepset Cloud) 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 Haystack (deepset Cloud) 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 Haystack (deepset Cloud) to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.