Metaplane 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 Metaplane 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 Metaplane, 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 Metaplane MCP Server
Connect your Metaplane account to any AI agent and take full control of your data observability and quality through natural conversation.
The Vercel AI SDK gives every Metaplane 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
- Monitor Oversight — List all configured data monitors and fetch detailed metadata and health statuses
- Incident Management — Retrieve real-time incident histories and track resolutions for data quality alerts
- Automated Execution — Programmatically trigger monitor runs to validate data quality on demand
- Connection Visibility — Enumerate connected databases, warehouses, and schemas to understand your data lineage
- Alert Configuration — List and inspect active notification settings and alert rules
The Metaplane 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 Metaplane to Vercel AI SDK via MCP
Follow these steps to integrate the Metaplane 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 Metaplane and passes them to the LLM
Why Use Vercel AI SDK with the Metaplane MCP Server
Vercel AI SDK provides unique advantages when paired with Metaplane 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 Metaplane integration everywhere
Built-in streaming UI primitives let you display Metaplane 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
Metaplane + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Metaplane MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Metaplane in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Metaplane tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Metaplane capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Metaplane through natural language queries
Metaplane MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Metaplane to Vercel AI SDK via MCP:
get_account_info
Get account information
get_incident
Get details for a specific incident
get_monitor
Get details for a specific monitor
get_monitor_runs
Get run history for a monitor
list_configured_alerts
List configured alerts
list_connection_schemas
List schemas for a connection
list_data_connections
List all data source connections
list_incidents
List data incidents
list_monitors
List all data monitors
trigger_monitor_run
Trigger a monitor run
Example Prompts for Metaplane in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Metaplane immediately.
"List all my data monitors in Metaplane."
"Show recent incidents for the last 24 hours."
"Trigger a run for monitor ID 'mon_12345'."
Troubleshooting Metaplane MCP Server with Vercel AI SDK
Common issues when connecting Metaplane to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMetaplane + Vercel AI SDK FAQ
Common questions about integrating Metaplane 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 Metaplane 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 Metaplane to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.