Gong MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 14 tools to Check Gong Status, Get Call, Get Call Stats, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gong 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 Gong app connector for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 14 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 Gong, 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 Gong MCP Server
Connect your Gong account to any AI agent and unlock conversation intelligence insights through natural conversation.
The Vercel AI SDK gives every Gong tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 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 Management — List all recorded calls, filter by user or date range, and inspect individual call metadata with participants and topics
- Transcripts — Retrieve full speaker-labeled transcripts for any recorded call
- Team Analytics — List all team members with roles and activity metrics, and drill into per-user call statistics
- Scorecard Evaluation — Browse scoring rubrics and retrieve call quality scores for coaching
- Deal Pipeline — View deal stages, amounts, and associated calls for pipeline visibility
- Coaching Library — Access curated calls saved to the Gong coaching library for training
- Aggregate Statistics — Retrieve org-wide call metrics: total calls, duration, talk ratios
The Gong MCP Server exposes 14 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 14 Gong tools available for Vercel AI SDK
When Vercel AI SDK connects to Gong through Vinkius, your AI agent gets direct access to every tool listed below — spanning revenue-intelligence, conversation-analysis, sales-coaching, 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 connectivity
Get call details
Get call statistics
Get call transcript
Get user details
Get user stats
Get call scores
List calls
List calls by date range
List calls by user
List deals
List library calls
List scorecards
List users
Connect Gong to Vercel AI SDK via MCP
Follow these steps to wire Gong 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 Gong MCP Server
Vercel AI SDK provides unique advantages when paired with Gong 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 Gong integration everywhere
Built-in streaming UI primitives let you display Gong 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
Gong + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Gong MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Gong in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Gong tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Gong capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Gong through natural language queries
Example Prompts for Gong in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gong immediately.
"Show me all calls from this week and the transcript for the longest one."
"Compare the call performance of Sarah and Mike this quarter using their stats and scorecards."
"Show the deal pipeline and highlight deals that have had no calls in the last 2 weeks."
Troubleshooting Gong MCP Server with Vercel AI SDK
Common issues when connecting Gong to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGong + Vercel AI SDK FAQ
Common questions about integrating Gong 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.