Swiftype MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Swiftype 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 Swiftype, 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 Swiftype MCP Server
Empower your conversational AI with robust enterprise search capabilities by securely integrating the Swiftype (Elastic) MCP connector. Stop navigating web dashbaords to manage indexing logic; allow your LLM to act as a direct data architect interacting with your core Swiftype endpoints natively. With full support for reading, creating, and deleting JSON documents on the fly, inspecting live search engine queries, and querying direct analytical metrics like top clicks—this connector brings headless search administration straight to your preferred prompt environment.
The Vercel AI SDK gives every Swiftype tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Headless Search & Suggestions — Execute strict queries interrogating custom content engines running
st.post_searchand provide predictive autocompletes processingst.post_suggest. - CRUD Document Indexing — Pull exact active records from isolated data maps using
st.list_documents, inject new payload structures in bulk operatingst.create_documents, or vaporize explicit keys commandingst.delete_documents. - Architectural Discovery — Browse registered core scopes applying
st.list_enginesand parse schema blueprints identifying object hierarchies withst.list_doc_types. - Search Analytics & CTR — Uncover real-world operational user conversion intent evaluating actual volume via
st.analytics_top_searchesand calculating active hit paths invokingst.analytics_top_clicks.
The Swiftype MCP Server exposes 10 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 Swiftype to Vercel AI SDK via MCP
Follow these steps to integrate the Swiftype 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 10 tools from Swiftype and passes them to the LLM
Why Use Vercel AI SDK with the Swiftype MCP Server
Vercel AI SDK provides unique advantages when paired with Swiftype 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 Swiftype integration everywhere
Built-in streaming UI primitives let you display Swiftype 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
Swiftype + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Swiftype MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Swiftype in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Swiftype tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Swiftype capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Swiftype through natural language queries
Swiftype MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Swiftype to Vercel AI SDK via MCP:
st.analytics_top_clicks
Identify precise active arrays spanning native Hold parsing
st.analytics_top_searches
Inspect deep internal arrays mitigating specific Plan Math
st.create_documents
Enumerate explicitly attached structured rules exporting active Billing
st.delete_documents
json` eliminating cached pages permanently erasing bounds metrics from search. Dispatch an automated validation check routing explicit Gateway history
st.list_doc_types
json` extracting schema blueprints enforcing exact map types correctly. Retrieve explicit Cloud logging tracing explicit Vault limits
st.list_documents
json` dumping all stored metadata physically tracking IDs per document type. Irreversibly vaporize explicit validations extracting rich Churn flags
st.list_domains
json` verifying automated crawler limits mapped inside explicit index scopes. Identify precise active arrays spanning native Gateway auth
st.list_engines
json` extracting all active isolated Elastic indices bound per tenant. Identify bounded CRM records inside the Headless Swiftype Platform
st.post_search
json` firing raw queries into the specific Engine returning faceted JSON hierarchies. Perform structural extraction of properties driving active Account logic
st.post_suggest
json` bounding predictive keys and spelling tolerant matches decoupled from main indexing. Provision a highly-available JSON Payload generating hard Customer bindings
Example Prompts for Swiftype in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Swiftype immediately.
"List all my available Swiftype search engines, then run a search for 'documentation' on the most relevant one and show me the top 3 analytics clicks it generated last week."
"List all active engines in our Swiftype account."
"Run a test suggestion for 'passw' in the internal wiki engine."
Troubleshooting Swiftype MCP Server with Vercel AI SDK
Common issues when connecting Swiftype to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSwiftype + Vercel AI SDK FAQ
Common questions about integrating Swiftype 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 Swiftype 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 Swiftype to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.