Paperspace MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Paperspace through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"paperspace": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Paperspace Agent",
instructions:
"You help users interact with Paperspace " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Paperspace?"
);
console.log(result.text);
}
main();
* 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 Paperspace MCP Server
Bring DigitalOcean Paperspace Cloud Insights directly into your AI workflows. By bridging directly with your AI compute environments, this integration tracks active deep learning machines, traces deployment logic natively, maps active Jupyter notebooks acting as Gradient limits, and exports the strict profile bounds applied across your data-science operations.
Mastra's agent abstraction provides a clean separation between LLM logic and Paperspace tool infrastructure. Connect 6 tools through the 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
- Compute Core Engine — Identify heavily modified REST boundaries targeting physical core/GPU machines extracting memory schemas and storage constraints gracefully
- Project Modeling — Trace collaborative groupings checking native team logic and limits defining exactly how GPU units map globally into discrete Project clusters
- Notebook Insights — Query raw Jupyter notebooks attached strictly to the deep logic Gradient models determining idle constraints
- Deployment Workloads — Check serverless API container logs determining container availability
The Paperspace MCP Server exposes 6 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.
How to Connect Paperspace to Mastra AI via MCP
Follow these steps to integrate the Paperspace MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from Paperspace via MCP
Why Use Mastra AI with the Paperspace MCP Server
Mastra AI provides unique advantages when paired with Paperspace through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Paperspace without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Paperspace tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Paperspace + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Paperspace MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Paperspace, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Paperspace as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Paperspace on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Paperspace tools alongside other MCP servers
Paperspace MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Paperspace to Mastra AI via MCP:
get_machine_details
Perform structural extraction of properties driving active Instance logic
get_user_details
Identify precise active arrays spanning native Identity Auth
list_deployments
Retrieve explicit Cloud logging tracing explicit Deploy targets
list_machines
Identify bounded Compute resources inside the Headless Paperspace limits
list_notebooks
Inspect deep internal arrays mitigating specific AI workload limits
list_projects
Enumerate explicitly attached structured rules exporting active Team limits
Example Prompts for Paperspace in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Paperspace immediately.
"Scan Paperspace for any currently active deployed Core machines."
"Execute an inventory sweep over active Gradient Jupyter Notebooks running in production."
"Show exactly which users are tied down to my native Paperspace environment."
Troubleshooting Paperspace MCP Server with Mastra AI
Common issues when connecting Paperspace to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPaperspace + Mastra AI FAQ
Common questions about integrating Paperspace MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Paperspace with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Paperspace to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.