Mode Analytics 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 Mode Analytics 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 Mode Analytics, 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 Mode Analytics MCP Server
Connect your Mode Analytics workspace to any AI agent and take full control of your data science and business intelligence workflows through natural conversation.
The Vercel AI SDK gives every Mode Analytics 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
- Workspace Oversight — List all spaces and members to maintain visibility over your analytical environment.
- Report Discovery — List and retrieve detailed metadata for reports across different spaces.
- Live Execution — Trigger new report runs directly through the agent, including support for custom parameters.
- Query Auditing — List the underlying SQL queries for any report to understand data lineage and logic.
- Definition Tracking — List calculated field definitions to ensure consistency in your metrics.
The Mode Analytics 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 Mode Analytics to Vercel AI SDK via MCP
Follow these steps to integrate the Mode Analytics 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 Mode Analytics and passes them to the LLM
Why Use Vercel AI SDK with the Mode Analytics MCP Server
Vercel AI SDK provides unique advantages when paired with Mode Analytics 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 Mode Analytics integration everywhere
Built-in streaming UI primitives let you display Mode Analytics 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
Mode Analytics + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mode Analytics MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mode Analytics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mode Analytics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mode Analytics capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mode Analytics through natural language queries
Mode Analytics MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Mode Analytics to Vercel AI SDK via MCP:
get_mode_account
Get authenticated account details
get_mode_report
Get details for a specific report
get_mode_report_run
Get details for a report run
list_mode_definitions
List calculated field definitions
list_mode_members
List workspace members
list_mode_queries
List SQL queries in a report
list_mode_report_runs
List runs for a report
list_mode_reports
List reports in a space
list_mode_spaces
List Mode Analytics spaces
run_mode_report
Trigger a new run for a report
Example Prompts for Mode Analytics in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mode Analytics immediately.
"List all reports in the 'Marketing Analytics' space."
"Run the report with token 'rep_12345' and check its latest status."
"Show me the SQL query used in the 'Churn Analysis' report."
Troubleshooting Mode Analytics MCP Server with Vercel AI SDK
Common issues when connecting Mode Analytics to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMode Analytics + Vercel AI SDK FAQ
Common questions about integrating Mode Analytics 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 Mode Analytics 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 Mode Analytics to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.