Filebase (Web3 Storage) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 29 tools to Platform Create Gateway, Platform Create Name, Platform Delete Gateway, and more

Name: Filebase (Web3 Storage)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Filebase (Web3 Storage) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Filebase (Web3 Storage) MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 29 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

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

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

        agent = Agent(
            name="Filebase (Web3 Storage) Assistant",
            instructions=(
                "You help users interact with Filebase (Web3 Storage). "
                "You have access to 29 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Filebase (Web3 Storage)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 Filebase (Web3 Storage) MCP Server

Connect your Filebase account to any AI agent and take full control of your decentralized Web3 storage workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 29 tools from Filebase (Web3 Storage) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Filebase (Web3 Storage), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

IPFS Operations — Add text files, fetch content by CID, and manage raw blocks directly on the IPFS network using the RPC API.
Pinning Management — Use the Pinning Service API (PSA) or RPC to pin, list, and remove content identifiers (CIDs) for persistent storage.
IPNS & Keys — Generate keypairs, publish CIDs to IPNS, and resolve names to IPFS paths for mutable decentralized websites.
Usage & Infrastructure — Monitor storage usage, manage dedicated gateways, and track bucket metrics across the platform.

The Filebase (Web3 Storage) MCP Server exposes 29 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 29 Filebase (Web3 Storage) tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Filebase (Web3 Storage) through Vinkius, your AI agent gets direct access to every tool listed below — spanning ipfs, web3, decentralized-storage, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

platform

Platform create gateway on Filebase (Web3 Storage)

Create a new dedicated gateway

platform

Platform create name on Filebase (Web3 Storage)

Create a new IPNS name

platform

Platform delete gateway on Filebase (Web3 Storage)

Delete a dedicated gateway

platform

Platform delete name on Filebase (Web3 Storage)

Delete an IPNS name

platform

Platform get bucket usage on Filebase (Web3 Storage)

Get storage usage for a specific bucket

platform

Platform get gateway on Filebase (Web3 Storage)

Get details of a specific dedicated gateway

platform

Platform get gateway usage on Filebase (Web3 Storage)

Get bandwidth usage for a dedicated gateway

platform

Platform get name on Filebase (Web3 Storage)

Get details of a specific IPNS name

platform

Platform get usage on Filebase (Web3 Storage)

Get total storage and bandwidth usage

platform

Platform list gateways on Filebase (Web3 Storage)

List all dedicated gateways

platform

Platform list names on Filebase (Web3 Storage)

List all IPNS names

platform

Platform update gateway on Filebase (Web3 Storage)

Update a dedicated gateway

platform

Platform update name on Filebase (Web3 Storage)

Update an IPNS name to point to a new CID

psa

Psa add pin on Filebase (Web3 Storage)

Add a pin using the Pinning Service API

psa

Psa get pin on Filebase (Web3 Storage)

Get pin status by request ID

psa

Psa list pins on Filebase (Web3 Storage)

List pins using the Pinning Service API

psa

Psa remove pin on Filebase (Web3 Storage)

Remove a pin by request ID

psa

Psa replace pin on Filebase (Web3 Storage)

Replace an existing pin

rpc

Rpc add on Filebase (Web3 Storage)

Add a text file to IPFS

rpc

Rpc block get on Filebase (Web3 Storage)

Retrieve a raw block by CID

rpc

Rpc cat on Filebase (Web3 Storage)

Fetch contents of a file by CID

rpc

Rpc key gen on Filebase (Web3 Storage)

Create a new keypair

rpc

Rpc key list on Filebase (Web3 Storage)

List all keys in the keychain

rpc

Rpc name publish on Filebase (Web3 Storage)

Publish a CID to IPNS

rpc

Rpc name resolve on Filebase (Web3 Storage)

Resolve an IPNS name to an IPFS path

rpc

Rpc pin add on Filebase (Web3 Storage)

Pin a CID to persistent storage

rpc

Rpc pin ls on Filebase (Web3 Storage)

List all pinned objects via RPC

rpc

Rpc pin rm on Filebase (Web3 Storage)

Unpin a CID via RPC

rpc

Rpc version on Filebase (Web3 Storage)

Get the version of the IPFS daemon

Connect Filebase (Web3 Storage) to OpenAI Agents SDK via MCP

Follow these steps to wire Filebase (Web3 Storage) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 29 tools from Filebase (Web3 Storage)

Why Use OpenAI Agents SDK with the Filebase (Web3 Storage) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Filebase (Web3 Storage) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Filebase (Web3 Storage) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Filebase (Web3 Storage) MCP Server delivers measurable value.

Automated workflows: build agents that query Filebase (Web3 Storage), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Filebase (Web3 Storage), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Filebase (Web3 Storage) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Filebase (Web3 Storage) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Filebase (Web3 Storage) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Filebase (Web3 Storage) immediately.

"Upload the text 'Hello from Filebase MCP' to IPFS."

"Show me a list of all my pinned objects."

"What is my current storage usage on Filebase?"

Troubleshooting Filebase (Web3 Storage) MCP Server with OpenAI Agents SDK

Common issues when connecting Filebase (Web3 Storage) to OpenAI Agents SDK through Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Filebase (Web3 Storage) + OpenAI Agents SDK FAQ

Common questions about integrating Filebase (Web3 Storage) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.