FutureVault MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FutureVault through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 FutureVault, 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 FutureVault MCP Server
Connect your FutureVault account to any AI agent to automate your document management and digital vault workflows through the Model Context Protocol (MCP). FutureVault is a secure, high-compliance digital vault platform designed for financial services, wealth management, and high-net-worth individuals. This MCP server enables you to manage your vault directory, retrieve document metadata, and participate in collaborative workflows directly through natural conversation.
The Vercel AI SDK gives every FutureVault 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.
Key Features
- Vault Orchestration — List all accessible digital vaults and fetch detailed configuration metadata for each.
- Directory Structure — Access and navigate complex folder hierarchies within your vaults to organize sensitive data.
- Document Oversight — List documents within specific folders and retrieve complete metadata (owner, tags, status) for individual files.
- Team & Member Management — Access vault membership lists and detailed profile information for all users with access.
- Role Discovery — List all system roles and permissions to audit your security and access control model.
- Powerful Search — Execute global searches across all vaults for specific documents or folders by name or keyword.
- Real-time Synchronization — Keep your fiduciary document repository accessible to your AI assistant without leaving your primary workspace.
The FutureVault 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.
How to Connect FutureVault to Vercel AI SDK via MCP
Follow these steps to integrate the FutureVault MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from FutureVault and passes them to the LLM
Why Use Vercel AI SDK with the FutureVault MCP Server
Vercel AI SDK provides unique advantages when paired with FutureVault 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 FutureVault integration everywhere
Built-in streaming UI primitives let you display FutureVault 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
FutureVault + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FutureVault MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FutureVault in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FutureVault tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FutureVault capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FutureVault through natural language queries
FutureVault MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect FutureVault to Vercel AI SDK via MCP:
get_document_metadata
Get document details
get_folder_details
Get folder metadata
get_member_details
Get member metadata
get_my_identity
Get current user profile
get_vault_details
Get vault metadata
list_digital_vaults
List all accessible vaults
list_folder_documents
List documents in folder
list_system_roles
List accessible roles
list_vault_folders
List folders in a vault
list_vault_members
List vault members
search_vault_content
Search documents/folders
verify_api_connection
Check connection
Example Prompts for FutureVault in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FutureVault immediately.
"List all digital vaults I have access to."
"Search for 'Tax Statement' in all my vaults."
"Who are the members of the 'Acme Corporate' vault?"
Troubleshooting FutureVault MCP Server with Vercel AI SDK
Common issues when connecting FutureVault to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFutureVault + Vercel AI SDK FAQ
Common questions about integrating FutureVault 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.Connect FutureVault with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FutureVault to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.