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FutureVault MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FutureVault through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to FutureVault "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in FutureVault?"
    )
    print(result.data)

asyncio.run(main())
FutureVault
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every FutureVault tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the FutureVault MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from FutureVault with type-safe schemas

Why Use Pydantic AI with the FutureVault MCP Server

Pydantic AI provides unique advantages when paired with FutureVault through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your FutureVault integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your FutureVault connection logic from agent behavior for testable, maintainable code

FutureVault + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the FutureVault MCP Server delivers measurable value.

01

Type-safe data pipelines: query FutureVault with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple FutureVault tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query FutureVault and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock FutureVault responses and write comprehensive agent tests

FutureVault MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect FutureVault to Pydantic AI via MCP:

01

get_document_metadata

Get document details

02

get_folder_details

Get folder metadata

03

get_member_details

Get member metadata

04

get_my_identity

Get current user profile

05

get_vault_details

Get vault metadata

06

list_digital_vaults

List all accessible vaults

07

list_folder_documents

List documents in folder

08

list_system_roles

List accessible roles

09

list_vault_folders

List folders in a vault

10

list_vault_members

List vault members

11

search_vault_content

Search documents/folders

12

verify_api_connection

Check connection

Example Prompts for FutureVault in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with FutureVault immediately.

01

"List all digital vaults I have access to."

02

"Search for 'Tax Statement' in all my vaults."

03

"Who are the members of the 'Acme Corporate' vault?"

Troubleshooting FutureVault MCP Server with Pydantic AI

Common issues when connecting FutureVault to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FutureVault + Pydantic AI FAQ

Common questions about integrating FutureVault MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your FutureVault MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect FutureVault to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.