3,400+ MCP servers ready to use
Vinkius

Pinata Cloud MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Create Pin Group, Get Group Details, Get Pinning Stats, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pinata Cloud through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Pinata Cloud app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Pinata Cloud Agent",
    instructions:
      "You help users interact with Pinata Cloud " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Pinata Cloud?"
  );
  console.log(result.text);
}

main();
Pinata Cloud
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Pinata Cloud MCP Server

Connect your Pinata Cloud account to any AI agent and take full control of your decentralized storage and IPFS orchestration through natural conversation. Pinata is the premier platform for Web3 content management, and this integration allows you to pin files, manage decentralized metadata, and organize content into groups directly from your chat interface.

Mastra's agent abstraction provides a clean separation between LLM logic and Pinata Cloud tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • IPFS Pinning Orchestration — Pin files and JSON objects programmatically to the decentralized web and retrieve their unique CIDs (Content Identifiers) instantly.
  • Decentralized Metadata Control — Update pin names and key-values via natural language to maintain a high-fidelity catalog of your decentralized assets.
  • Storage & Group Intelligence — Create and manage organizational groups and retrieve detailed pin lists with technical filters directly from the AI interface.
  • Usage & API Oversight — Monitor account data usage, manage API keys, and verify authentication health using simple AI commands.
  • Operational Monitoring — Track system responses and manage unpinning workflows to ensure your storage strategy is always optimized.

The Pinata Cloud MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Pinata Cloud tools available for Mastra AI

When Mastra AI connects to Pinata Cloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning ipfs, decentralized-storage, web3, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_pin_group

Add new collection

get_group_details

Get group info

get_pinning_stats

Check data usage

list_api_keys

List account keys

list_ipfs_pins

List pinned files

list_pin_groups

List pin collections

pin_json_to_ipfs

Pin NFT metadata/JSON

remove_ipfs_pin

Unpin file/hash

remove_pin_group

Delete collection

revoke_api_key

Disable an API key

update_pin_metadata

Modify pin name/tags

verify_pinata_auth

Check connection

Connect Pinata Cloud to Mastra AI via MCP

Follow these steps to wire Pinata Cloud into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 12 tools from Pinata Cloud via MCP

Why Use Mastra AI with the Pinata Cloud MCP Server

Mastra AI provides unique advantages when paired with Pinata Cloud through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pinata Cloud without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Pinata Cloud tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Pinata Cloud + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Pinata Cloud MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Pinata Cloud, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Pinata Cloud as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Pinata Cloud on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Pinata Cloud tools alongside other MCP servers

Example Prompts for Pinata Cloud in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Pinata Cloud immediately.

01

"List my last 5 files pinned to IPFS."

02

"Upload and pin my application metadata JSON to IPFS with a custom name for easy retrieval."

03

"List all my pinned files on IPFS and check which ones are consuming the most storage."

Troubleshooting Pinata Cloud MCP Server with Mastra AI

Common issues when connecting Pinata Cloud to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Pinata Cloud + Mastra AI FAQ

Common questions about integrating Pinata Cloud MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.