Jiminny MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Jiminny Status, Get Action Items, Get Activity, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jiminny 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 App Connector for Vercel AI SDK
The Jiminny app connector for Vercel AI SDK is a standout in the Artificial Intelligence category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Jiminny, 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 Jiminny MCP Server
Connect your Jiminny account to any AI agent and take full control of your sales conversation intelligence and automated coaching workflows through natural conversation.
The Vercel AI SDK gives every Jiminny 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
- Call Portfolio Orchestration — List and manage your entire database of call recordings and transcripts programmatically, retrieving detailed speaker metadata
- Meeting Intelligence Architecture — Programmatically query and monitor meeting insights and key moments to maintain a perfectly coordinated sales audit trail
- Rep Performance Monitoring — Access real-time activity metrics for your sales team and track improvement trends directly through your agent for instant reporting
- Metadata Management — Programmatically retrieve talk-to-listen ratios and filler word counts to maintain a perfectly coordinated coaching record
- Operational Monitoring — Verify account-level API connectivity and monitor call ingestion volume directly through your agent for perfectly coordinated service scaling
The Jiminny 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.
All 10 Jiminny tools available for Vercel AI SDK
When Vercel AI SDK connects to Jiminny through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversation-intelligence, sales-coaching, call-recording, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Jiminny API connectivity
Get action items from a call
Get activity details
Get aggregate call analytics
Get coaching stats for a user
Get call transcript
Get user details
List all calls and meetings
List all teams
List all team members
Connect Jiminny to Vercel AI SDK via MCP
Follow these steps to wire Jiminny into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Jiminny MCP Server
Vercel AI SDK provides unique advantages when paired with Jiminny 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 Jiminny integration everywhere
Built-in streaming UI primitives let you display Jiminny 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
Jiminny + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jiminny MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jiminny in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jiminny tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jiminny capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jiminny through natural language queries
Example Prompts for Jiminny in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Jiminny immediately.
"List all calls recorded today in Jiminny."
"Get the transcript and action items from call ACT-9421."
"Show coaching stats for user USR-201."
Troubleshooting Jiminny MCP Server with Vercel AI SDK
Common issues when connecting Jiminny to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJiminny + Vercel AI SDK FAQ
Common questions about integrating Jiminny 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.