Coalesce MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Coalesce 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 Coalesce, 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 Coalesce MCP Server
Connect your AI to Coalesce, the data transformation platform built for Snowflake with a column-aware approach.
The Vercel AI SDK gives every Coalesce tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Environment Management — List all environments in your Coalesce organization and inspect their configurations.
- Job Monitoring — Check the status of the last run for any environment and view execution logs.
- Trigger Transformations — Start transformation jobs on demand with optional node selectors to target specific pipelines.
The Coalesce MCP Server exposes 8 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 Coalesce to Vercel AI SDK via MCP
Follow these steps to integrate the Coalesce 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 8 tools from Coalesce and passes them to the LLM
Why Use Vercel AI SDK with the Coalesce MCP Server
Vercel AI SDK provides unique advantages when paired with Coalesce 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 Coalesce integration everywhere
Built-in streaming UI primitives let you display Coalesce 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
Coalesce + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Coalesce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Coalesce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Coalesce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Coalesce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Coalesce through natural language queries
Coalesce MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Coalesce to Vercel AI SDK via MCP:
get_environment
Retrieve detailed information about a specific environment
get_job_details
Retrieve detailed information about a specific job
get_run_status
Check the current status and progress of a triggered run
list_environments
Retrieve all environments configured in your Coalesce organization
list_jobs
Retrieve a list of jobs, optionally filtered by environment
list_nodes
Retrieve metadata about transformation nodes in a specific environment
trigger_job
Trigger a specific job in an environment
trigger_run
Trigger a new run for a specific environment and optionally a job
Example Prompts for Coalesce in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Coalesce immediately.
"Show me all environments in my Coalesce organization."
"Trigger job 'job-yyyy' in environment 'env-xxxx'."
"What is the status of the ongoing production data pipeline?"
Troubleshooting Coalesce MCP Server with Vercel AI SDK
Common issues when connecting Coalesce to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoalesce + Vercel AI SDK FAQ
Common questions about integrating Coalesce 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 Coalesce 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 Coalesce to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.