DecileHub MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Decilehub Status, Get Company, Get Filing Report, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DecileHub 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 DecileHub app connector for Vercel AI SDK is a standout in the Business Intelligence category — giving your AI agent 12 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 DecileHub, 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 DecileHub MCP Server
Connect your DecileHub account to any AI agent and take full control of your venture capital and private equity fund operations through natural conversation.
The Vercel AI SDK gives every DecileHub tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Fund Management — List all funds with AUM, strategy, and vintage year, and inspect individual fund details including commitments and portfolio allocation
- Performance Analytics — Retrieve IRR, TVPI, DPI, and benchmark comparisons for any fund
- Portfolio Companies — Browse all portfolio companies with valuations, fund allocations, and investment round history
- Valuation Tracking — Access historical valuation marks and unrealized value changes over time for each portfolio company
- LP Management — List limited partners with commitment amounts, distributions, and allocation profiles
- Regulatory Compliance — Browse and download regulatory filings and compliance reports
The DecileHub MCP Server exposes 12 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 12 DecileHub tools available for Vercel AI SDK
When Vercel AI SDK connects to DecileHub through Vinkius, your AI agent gets direct access to every tool listed below — spanning venture-capital, fund-management, portfolio-analytics, 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 company details
Get filing report
Get fund details
Get fund performance
Get investor details
List companies by fund
List filings
List funds
List investors (LPs)
List portfolio companies
List company valuations
Connect DecileHub to Vercel AI SDK via MCP
Follow these steps to wire DecileHub 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 DecileHub MCP Server
Vercel AI SDK provides unique advantages when paired with DecileHub 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 DecileHub integration everywhere
Built-in streaming UI primitives let you display DecileHub 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
DecileHub + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DecileHub MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DecileHub in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DecileHub tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DecileHub capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DecileHub through natural language queries
Example Prompts for DecileHub in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DecileHub immediately.
"Show the performance metrics for our Fund III and compare against industry benchmarks."
"List all portfolio companies in Fund II and show their current valuations."
"Show me all our LPs and their total commitments across all funds."
Troubleshooting DecileHub MCP Server with Vercel AI SDK
Common issues when connecting DecileHub to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDecileHub + Vercel AI SDK FAQ
Common questions about integrating DecileHub 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.