How to Use the Jiminny MCP in Vercel AI SDK

Q: How do I stream Jiminny transcripts using the Vercel AI SDK?

You pass the gettranscript tool from this server to streamText. The Vercel AI SDK handles the chunked transfer, allowing your UI to render the call text line by line.

Q: Can I build a live coaching dashboard with Jiminny and Vercel AI SDK?

Yes, you can query getcoachingstats and stream the raw metrics directly into your React components. The SDK manages the UI state so your charts update without full-page reloads.

Q: Can I filter Jiminny activities by sales team using Vercel AI SDK?

Yes, your agent can call listteams to find the correct group and then run getactivity for specific call details. The Vercel AI SDK lets you build interactive dropdowns that trigger these agent actions on the fly.

Build live sales dashboards that stream Jiminny call transcripts and coaching stats directly to your frontend with Vercel AI SDK.

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Connect Jiminny MCP to Vercel AI SDK

Create your Vinkius account to connect Jiminny to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Jiminny with Vercel AI SDK

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Stream Jiminny transcripts to your UI

The `get_transcript` tool pulls raw text from sales calls so your React frontend can display them to managers instantly. Instead of making users wait for a massive payload to parse, the Vercel AI SDK streams the text chunk by chunk as it processes. Combine this with `get_action_items` to render post-call tasks in real-time. Your users watch their next steps populate on screen without a single loading spinner.

Build real-time sales dashboards with this MCP Server

This MCP Server exposes `get_coaching_stats` and `get_call_stats` to feed your Next.js analytics components. Your AI client fetches these metrics and streams them directly into live charts, giving sales leaders immediate visibility into team performance. You can use `list_teams` to group these metrics by department. The SDK handles the streaming UI states automatically, so your charts update as soon as the Jiminny API responds.

Query team activities instantly

The `list_activities` tool lets your agent fetch the latest sales calls and map them to specific reps using `list_users`. With the Vercel AI SDK, you can build a conversational interface where managers ask who had the best call today and see the answers render immediately. By calling `get_user`, the agent pulls specific rep profiles to contextualize the coaching data. The SDK handles the connection to the Jiminny endpoint under the hood, so your frontend stays fast.

Setup guide

Set up Jiminny MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Jiminny tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Jiminny transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jiminny. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Jiminny MCP in Vercel AI SDK

You pass the `get_transcript` tool from this server to `streamText`. The Vercel AI SDK handles the chunked transfer, allowing your UI to render the call text line by line.

Yes, you can query `get_coaching_stats` and stream the raw metrics directly into your React components. The SDK manages the UI state so your charts update without full-page reloads.

The server uses Vinkius's managed MCP authentication layer, meaning you only need one token to secure tools like `list_activities`. You configure this in your Edge Functions without managing complex OAuth flows.

Yes, your agent can call `list_teams` to find the correct group and then run `get_activity` for specific call details. The Vercel AI SDK lets you build interactive dropdowns that trigger these agent actions on the fly.

This server only touches your Jiminny call transcripts, user profiles, and coaching metrics. Vinkius runs the server in an isolated V8 sandbox, ensuring your sales data never leaks to other tenants or external databases.

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