How to Use the FutureVault MCP in AutoGen

Q: How do the agents know which FutureVault folder to search?

They figure it out themselves. One agent runs listdigitalvaults to find the root workspace, then traverses downward using listvaultfolders.

Give your AutoGen multi-agent teams direct access to FutureVault directories via this MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect FutureVault MCP to AutoGen

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

GDPR Free for Subscribers

Setup FutureVault with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Consensus-Driven Document Access

Your AutoGen setup uses `list_vault_folders` and `list_folder_documents` to map out the storage hierarchy. One agent pulls the directory tree, while a secondary compliance agent verifies the folder permissions using `list_system_roles`. They talk to each other before touching any files. This prevents rogue requests. The primary agent proposes a path, and the reviewer confirms the structure via `get_folder_details` before giving the green light. You get a debated, verified execution plan.

AutoGen MCP Server Integration

Assign the `search_vault_content` tool to a specialized research agent. When the team needs a specific financial record, this agent queries the vault and returns a list of candidate file IDs. A separate data-extraction agent then takes those IDs and runs `get_document_metadata` on each one. The agents negotiate which file is the correct version based on timestamp and author data.

Audit Vault Memberships

Start the conversation by having an agent call `verify_api_connection` and `get_my_identity`. The team establishes its own access level before starting the actual work. From there, a security agent can monitor `list_vault_members` and `get_member_details`. If a user asks for a document they shouldn't see, the agents cross-reference the member list and reject the request automatically.

Setup guide

Set up FutureVault MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes FutureVault tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="FutureVault_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent FutureVault data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="FutureVault_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent FutureVault data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FutureVault. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect FutureVault now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about FutureVault MCP in AutoGen

Initialize StreamableHttpServerParams with your endpoint URL. Pass that to mcp_server_tools() and hand the resulting list to your AssistantAgent constructor.

They share the MCP tool definitions through the McpToolAdapter. You decide which specific agents get permission to execute the API calls.

They figure it out themselves. One agent runs list_digital_vaults to find the root workspace, then traverses downward using list_vault_folders.

The server returns an error, which the agent reads in the conversation thread. It can then decide to wait and retry the get_document_metadata call.

Your multi-agent system authenticates using a single, scoped endpoint token. The FutureVault MCP server relies on strict zero-trust principles, meaning agents cannot bypass folder permissions to read portfolio metadata they lack explicit authorization for.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript