Alation 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 Alation 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 Alation, 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 Alation MCP Server
Connect your Alation instance to your AI agent to unlock enterprise-grade data intelligence and discovery. From searching for critical data assets across your catalog to auditing table schemas and retrieving saved SQL queries, your agent handles your data governance through natural conversation.
The Vercel AI SDK gives every Alation 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
- Catalog Discovery — Search for schemas, tables, and data sources using keywords and advanced filters
- Metadata Auditing — Retrieve detailed logical and physical metadata, including descriptions, stewards, and tags
- Lineage Analysis — Trace data lineage to understand the provenance and impact of your data assets
- Query Orchestration — List saved SQL queries and retrieve cached execution results from Alation Compose
- Custom Field Management — List and audit custom governance fields associated with your catalog objects
The Alation 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 Alation to Vercel AI SDK via MCP
Follow these steps to integrate the Alation 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 Alation and passes them to the LLM
Why Use Vercel AI SDK with the Alation MCP Server
Vercel AI SDK provides unique advantages when paired with Alation 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 Alation integration everywhere
Built-in streaming UI primitives let you display Alation 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
Alation + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Alation MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Alation in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Alation tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Alation capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Alation through natural language queries
Alation MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Alation to Vercel AI SDK via MCP:
get_lineage
Trace data lineage
get_object_metadata
Get object details
get_query_results
Get cached query results
list_columns
List columns in table
list_custom_fields
List governance fields
list_data_sources
List catalog data sources
list_saved_queries
List saved SQL queries
list_schemas
List schemas in data source
list_tables
List tables in schema
search_catalog
Search for data assets
Example Prompts for Alation in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Alation immediately.
"Search my Alation catalog for tables containing 'Customer ROI'."
"List the last 5 SQL queries I saved in Alation."
"Show the lineage for table 'Orders_Main' in the 'Production' schema."
Troubleshooting Alation MCP Server with Vercel AI SDK
Common issues when connecting Alation to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAlation + Vercel AI SDK FAQ
Common questions about integrating Alation 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 Alation 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 Alation to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
