How to Use the FutureVault MCP in Pydantic AI

Q: Is Pydantic AI searching FutureVault content accurately?

Yes. Because Pydantic AI validates the output of searchvaultcontent, your agent is guaranteed to receive a properly formatted list of search hits.

Q: Can I list system roles via Pydantic AI in FutureVault?

Yes, listsystemroles is fully supported. The response is validated against your Pydantic model to ensure you have a clean list of roles.

Q: How do I verify the FutureVault connection?

Call verifyapiconnection. Pydantic AI will confirm the status code is 200 before allowing the agent to proceed.

Enforce strict runtime type safety for your document agents using the FutureVault MCP Server and Pydantic AI.

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Connect FutureVault MCP to Pydantic AI

Create your Vinkius account to connect FutureVault to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup FutureVault with Pydantic AI

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Type-safe vault management

Pydantic AI validates every response from the server against your defined models. When you call `list_digital_vaults`, the framework ensures the data structure matches your expectations. This prevents runtime crashes caused by unexpected API changes. If the server returns a field that doesn't fit your schema, the agent catches it instantly.

Rigorous document lookups

Your agent uses `get_document_metadata` to fetch file details with guaranteed type safety. The framework forces validation on every property, from document IDs to timestamps. This is essential for production agents. You get a clean, validated object ready for your business logic without writing manual parsing code.

Structured folder navigation

Navigating complex structures is safer when every tool call is validated. The agent uses `list_vault_folders` to get directory lists, with Pydantic AI checking the output for integrity. This keeps your agent loops stable. It ensures that the folder IDs retrieved are always in the correct format before passing them to secondary operations.

Setup guide

Set up FutureVault MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "futurevault-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to FutureVault tools.",
)

result = await agent.run("List recent FutureVault transactions")
print(result.output)

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Common questions about FutureVault MCP in Pydantic AI

Yes. Because Pydantic AI validates the output of `search_vault_content`, your agent is guaranteed to receive a properly formatted list of search hits.

If the API returns invalid data, Pydantic AI triggers a validation error. This prevents the agent from processing garbage data.

Yes, `list_system_roles` is fully supported. The response is validated against your Pydantic model to ensure you have a clean list of roles.

Call `verify_api_connection`. Pydantic AI will confirm the status code is 200 before allowing the agent to proceed.

Privacy is maintained through strict schema definitions. Your agent only receives the metadata fields you explicitly define in your model, preventing data leakage.

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