FutureVault MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your FutureVault integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query FutureVault with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple FutureVault tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query FutureVault and output structured, schema-compliant notifications
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:
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting FutureVault to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFutureVault + Pydantic AI FAQ
Common questions about integrating FutureVault MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
