How to Use the Filebase (Web3 Storage) MCP in OpenAI Agents SDK

Q: Can my agent manage dedicated gateways using Filebase (Web3 Storage) and the OpenAI Agents SDK?

Yes. The agent uses platformcreategateway and platformlistgateways to configure dedicated access points for your decentralized files.

Q: What happens if a pinning operation fails?

The agent receives a direct error payload from psaaddpin or rpcpinadd. It can then retry the operation or log the failure using the tracing dashboard.

Pin IPFS files and manage decentralized storage directly within your OpenAI Agents SDK production workflows.

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Connect Filebase (Web3 Storage) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Filebase (Web3 Storage) to OpenAI Agents SDK 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 Filebase (Web3 Storage) with OpenAI Agents SDK

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Persistent IPFS Pinning via OpenAI Agents SDK

The `psa_add_pin` tool lets your agent commit content to the decentralized web using Filebase's Pinning Service API. Your agent handles the entire lifecycle by tracking requests with `psa_get_pin` and swapping out outdated assets using `psa_replace_pin`. This setup keeps your agent's files persistent on the network. You don't have to write custom pinning logic from scratch because the SDK handles tool discovery automatically.

Resolve and Publish IPNS Names

The `platform_create_name` tool allows your agent to generate a stable IPNS pointer for mutable data. When content changes, the agent runs `platform_update_name` to update the target CID without changing the user-facing address. Managing IPNS keys manually is no longer a chore. This MCP Server helps your AI client resolve existing pointers using `rpc_name_resolve` to verify data paths before updating them.

Track Storage Usage in Real Time

The `platform_get_usage` tool monitors storage and bandwidth consumption across your entire account. For fine-grained audits, the agent calls `platform_get_bucket_usage` to analyze specific storage buckets. You get exact byte counts directly in your monitoring dashboards. This keeps your production systems within budget and prevents unexpected storage overages.

Setup guide

Set up Filebase (Web3 Storage) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Filebase (Web3 Storage) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Filebase (Web3 Storage) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Filebase (Web3 Storage) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Filebase (Web3 Storage) Agent",
            instructions="You have access to Filebase (Web3 Storage) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Filebase (Web3 Storage) MCP in OpenAI Agents SDK

The SDK automatically discovers the tools when you pass the MCP Server endpoint to the agent constructor. You do not need to register each of the 29 tools manually.

Yes. The agent uses `platform_create_gateway` and `platform_list_gateways` to configure dedicated access points for your decentralized files.

You can design a specialized storage agent using this MCP Server. The OpenAI Agents SDK then routes control back to your primary routing agent once the pin is confirmed.

The agent receives a direct error payload from `psa_add_pin` or `rpc_pin_add`. It can then retry the operation or log the failure using the tracing dashboard.

This MCP Server runs in a zero-trust sandbox and only touches your IPFS CIDs, bucket configurations, and IPNS keys. Your credentials never leave your secure environment, and no data is cached on our hosting layer.

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