Proxycurl (LinkedIn Data) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Add Monitor Target, Check Disposable Email, Company Website Lookup, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Proxycurl (LinkedIn Data) 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 MCP Server for Vercel AI SDK
The Proxycurl (LinkedIn Data) MCP Server for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 18 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 Proxycurl (LinkedIn Data), 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 Proxycurl (LinkedIn Data) MCP Server
Connect Proxycurl to your AI agent to access real-time B2B intelligence and LinkedIn-derived data. This server provides a powerful suite of tools for sales, recruitment, and market research.
The Vercel AI SDK gives every Proxycurl (LinkedIn Data) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 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 Intelligence — Resolve company names to websites, fetch logos, and retrieve deep metadata including industry and leadership using
company_website_lookupandget_company_details. - Financial Insights — Access complete funding histories, investment rounds, and participating investors for private and public companies via
get_company_funding. - People Data — Enrich professional profiles from work emails or names with
get_employee_profile, and search for employees within specific organizations usingsearch_employees. - Market Analysis — Identify competitors based on product similarity with
get_competitor_listingand list probable customers or partners. - Monitoring — Create and manage monitor feeds to track organizational changes over time using
create_monitor_feed.
The Proxycurl (LinkedIn Data) MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 18 Proxycurl (LinkedIn Data) tools available for Vercel AI SDK
When Vercel AI SDK connects to Proxycurl (LinkedIn Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-data, b2b-intelligence, company-enrichment, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add monitor target on Proxycurl (LinkedIn Data)
Add a target to an existing monitor feed
Check disposable email on Proxycurl (LinkedIn Data)
Detect temporary or throwaway email addresses
Company website lookup on Proxycurl (LinkedIn Data)
Resolve a company name to its canonical website URL
Create monitor feed on Proxycurl (LinkedIn Data)
Create a new monitor feed for company changes
Get company details on Proxycurl (LinkedIn Data)
Retrieve comprehensive company metadata and leadership teams
Get company employee count on Proxycurl (LinkedIn Data)
Retrieve the estimated headcount range for a company
Get company funding on Proxycurl (LinkedIn Data)
It may take up to 5 minutes. Retrieve full funding history, rounds, and participating investors
Get company logo on Proxycurl (LinkedIn Data)
Retrieve a 128x128 PNG logo URL for any company
Get company updates on Proxycurl (LinkedIn Data)
Aggregate blog posts and X/Twitter updates into a mixed timeline
Get competitor listing on Proxycurl (LinkedIn Data)
Find competitors and the reasoning (keyword overlap or product similarity)
Get credit balance on Proxycurl (LinkedIn Data)
Check your remaining API credit balance
Get customer listing on Proxycurl (LinkedIn Data)
Get a list of probable customers, investors, and partner platforms
Get employee profile on Proxycurl (LinkedIn Data)
Enrich professional profiles from work emails or name/employer combinations
Get monitor rss on Proxycurl (LinkedIn Data)
Get the RSS feed for a specific monitor feed
Get similar employees on Proxycurl (LinkedIn Data)
Repeat queries are served free from cache. Find counterparts in similar roles at competing companies
List monitor feeds on Proxycurl (LinkedIn Data)
List all active monitor feeds
Lookup work email on Proxycurl (LinkedIn Data)
Best-effort lookup of a public work email from a name and domain
Search employees on Proxycurl (LinkedIn Data)
Find current employees of a company by role and geography
Connect Proxycurl (LinkedIn Data) to Vercel AI SDK via MCP
Follow these steps to wire Proxycurl (LinkedIn Data) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Proxycurl (LinkedIn Data) MCP Server
Vercel AI SDK provides unique advantages when paired with Proxycurl (LinkedIn Data) 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 Proxycurl (LinkedIn Data) integration everywhere
Built-in streaming UI primitives let you display Proxycurl (LinkedIn Data) 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
Proxycurl (LinkedIn Data) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Proxycurl (LinkedIn Data) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Proxycurl (LinkedIn Data) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Proxycurl (LinkedIn Data) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Proxycurl (LinkedIn Data) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Proxycurl (LinkedIn Data) through natural language queries
Example Prompts for Proxycurl (LinkedIn Data) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Proxycurl (LinkedIn Data) immediately.
"Find the official website for 'Nvidia'."
"Show me the funding history for 'SpaceX'."
"Who are the main competitors for 'Zoom'?"
Troubleshooting Proxycurl (LinkedIn Data) MCP Server with Vercel AI SDK
Common issues when connecting Proxycurl (LinkedIn Data) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpProxycurl (LinkedIn Data) + Vercel AI SDK FAQ
Common questions about integrating Proxycurl (LinkedIn Data) 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.Explore More MCP Servers
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