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

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Filebase (Web3 Storage) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Filebase (Web3 Storage) MCP Server for Vercel AI 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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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Filebase (Web3 Storage), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Filebase (Web3 Storage)
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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 Vercel AI SDK gives every Filebase (Web3 Storage) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 29 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI 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 Vercel AI SDK

When Vercel AI 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 Vercel AI SDK via MCP

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

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 29 tools from Filebase (Web3 Storage) and passes them to the LLM

Why Use Vercel AI SDK with the Filebase (Web3 Storage) MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Filebase (Web3 Storage) integration everywhere

03

Built-in streaming UI primitives let you display Filebase (Web3 Storage) tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Filebase (Web3 Storage) + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query Filebase (Web3 Storage) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Filebase (Web3 Storage) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Filebase (Web3 Storage) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Filebase (Web3 Storage) through natural language queries

Example Prompts for Filebase (Web3 Storage) in Vercel AI SDK

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

01

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

02

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

03

"What is my current storage usage on Filebase?"

Troubleshooting Filebase (Web3 Storage) MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Filebase (Web3 Storage) + Vercel AI SDK FAQ

Common questions about integrating Filebase (Web3 Storage) MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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