ScreenshotOne 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 ScreenshotOne 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: {
"screenshotone": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ScreenshotOne Agent",
instructions:
"You help users interact with ScreenshotOne " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ScreenshotOne?"
);
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 ScreenshotOne MCP Server
Empower your AI agent to orchestrate your entire visual auditing and website capturing workflow with ScreenshotOne, the reliable API for high-quality screenshots. By connecting ScreenshotOne to your agent, you transform complex capturing tasks into a natural conversation. Your agent can instantly take full-page screenshots, generate PDFs from URLs, and audit page metadata without you ever touching a browser. Whether you are monitoring site changes or archiving visual content, your agent acts as a real-time visual archiver, ensuring your records are always clear and comprehensive.
Mastra's agent abstraction provides a clean separation between LLM logic and ScreenshotOne 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
- Visual Auditing — Take high-resolution screenshots of any URL and retrieve the direct image links instantly.
- Full-page Oversight — Capture entire website pages from top to bottom to maintain a complete view of site design and content.
- Document Intelligence — Generate professional PDFs from any website for easy sharing and offline auditing.
- Metadata Discovery — Retrieve website titles, descriptions, and page sizes without performing a full capture.
- Targeted Capturing — Take screenshots of specific CSS elements or custom viewports to focus on what matters most.
The ScreenshotOne 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 ScreenshotOne to Mastra AI via MCP
Follow these steps to integrate the ScreenshotOne 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 ScreenshotOne via MCP
Why Use Mastra AI with the ScreenshotOne MCP Server
Mastra AI provides unique advantages when paired with ScreenshotOne through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add ScreenshotOne 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 ScreenshotOne 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
ScreenshotOne + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ScreenshotOne MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ScreenshotOne, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ScreenshotOne as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ScreenshotOne on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ScreenshotOne tools alongside other MCP servers
ScreenshotOne MCP Tools for Mastra AI (6)
These 6 tools become available when you connect ScreenshotOne to Mastra AI via MCP:
generate_pdf
Generate a PDF from a URL
get_page_metadata
) without capturing. Get metadata for a website (title, size, etc.) without capturing
take_element_screenshot
Take a screenshot of a specific CSS element
take_full_page_screenshot
Take a full-page screenshot of a URL
take_screenshot
Take a screenshot of a URL
take_viewport_screenshot
Take a screenshot with a specific viewport size
Example Prompts for ScreenshotOne in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ScreenshotOne immediately.
"Take a screenshot of https://vinkius.com."
"Capture the full page of https://github.com/vinkius."
"Show metadata for https://www.google.com."
Troubleshooting ScreenshotOne MCP Server with Mastra AI
Common issues when connecting ScreenshotOne to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpScreenshotOne + Mastra AI FAQ
Common questions about integrating ScreenshotOne 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 ScreenshotOne 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 ScreenshotOne to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.