Enrich CRM MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Enrich Company, Enrich Person, Find Email, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Enrich CRM 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 Enrich CRM app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 5 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 Enrich CRM, 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 Enrich CRM MCP Server
Connect your Enrich CRM account to any AI agent to streamline your B2B intelligence and sales automation workflows through natural conversation.
The Vercel AI SDK gives every Enrich CRM tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Company Orchestration — Retrieve detailed firmographics, technical stacks, and financial data using only a company domain programmatically
- Person Enrichment — Access professional backgrounds, verified emails, and direct phone lines for your target prospects to maintain a high-fidelity database
- Email Discovery — Programmatically find and verify professional email addresses using name and domain combinations directly through your agent
- Phone Intelligence — Retrieve direct phone lines to bypass switchboards and reach decision-makers faster
- Account Visibility — Monitor your remaining credits and subscription status directly through your agent for instant operational reporting
The Enrich CRM MCP Server exposes 5 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 5 Enrich CRM tools available for Vercel AI SDK
When Vercel AI SDK connects to Enrich CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning enrich-crm, lead-enrichment, b2b-data, 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.
Enrich company data
Enrich person data
Find a professional email address
Find a professional phone number
Check account status
Connect Enrich CRM to Vercel AI SDK via MCP
Follow these steps to wire Enrich CRM 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 Enrich CRM MCP Server
Vercel AI SDK provides unique advantages when paired with Enrich CRM 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 Enrich CRM integration everywhere
Built-in streaming UI primitives let you display Enrich CRM 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
Enrich CRM + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Enrich CRM MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Enrich CRM in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Enrich CRM tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Enrich CRM capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Enrich CRM through natural language queries
Example Prompts for Enrich CRM in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Enrich CRM immediately.
"Enrich the company with domain 'google.com' using Enrich CRM."
"Find the professional email for 'Satya Nadella' at 'microsoft.com'."
"Check my remaining enrichment credits."
Troubleshooting Enrich CRM MCP Server with Vercel AI SDK
Common issues when connecting Enrich CRM to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEnrich CRM + Vercel AI SDK FAQ
Common questions about integrating Enrich CRM 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.