Octoparse MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Octoparse through 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: {
"octoparse": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Octoparse Agent",
instructions:
"You help users interact with Octoparse " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Octoparse?"
);
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 Octoparse MCP Server
Connect your Octoparse framework to your AI agent and turn cloud-based web scraping into a fully conversational command center.
Mastra's agent abstraction provides a clean separation between LLM logic and Octoparse tool infrastructure. Connect 10 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
- Task Execution — Trigger the launch engine using
start_taskwhenever data refresh is needed, or invokestop_taskto halt runaway crawlers instantly. - Status Monitoring — Keep a pulse on active bots by calling
get_task_status, or systematically drill down through your project taxonomy vialist_task_groupsandlist_tasks. - Data Ingestion — Dump the latest extracted web rows natively into the AI's context using
get_task_data, allowing the LLM to format, structure, or summarize the results immediately. - Token Operations — Authenticate dynamically utilizing
get_tokenwith your core credentials.
The Octoparse MCP Server exposes 10 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 Octoparse to Mastra AI via MCP
Follow these steps to integrate the Octoparse 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 10 tools from Octoparse via MCP
Why Use Mastra AI with the Octoparse MCP Server
Mastra AI provides unique advantages when paired with Octoparse through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Octoparse 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 Octoparse 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
Octoparse + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Octoparse MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Octoparse, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Octoparse as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Octoparse on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Octoparse tools alongside other MCP servers
Octoparse MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Octoparse to Mastra AI via MCP:
clear_task_data
Done to purge testing footprints before production crawls. Delete all securely stored data for an Octoparse task
get_task_data
Use offset-based pagination strictly to prevent memory crash exceptions (max 1000 limit). Export un-exported data from a completed Octoparse scraping task
get_task_status
Get the current running status of an Octoparse cloud task
get_token
0 password grant. Returns an access_token. The access_token must be stored and reused for API calls until expiration. Obtain an OAuth 2.0 access token from Octoparse
list_task_groups
Use these IDs to filter executing scraping tasks nested inside a specific folder limit. List all task groups (folders) in the Octoparse account
list_tasks
Each task includes a taskId, status, and creation date. Use the taskId for starting or polling data. List all configured cloud scraping tasks on Octoparse
mark_data_exported
Execute this immediately after a successful `get_task_data`. Mark all currently stored data in an Octoparse task as extracted
start_task
Task changes status to Running instantly. Start a cloud scraping task on Octoparse
stop_task
Stop a running Octoparse cloud task
update_task_params
g. changing the core search URL or injected keywords) without opening the Octoparse IDE cleanly scaling parameterized bots. Dynamically update URL or parameter constraints driving a task
Example Prompts for Octoparse in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Octoparse immediately.
"Look up task 'LinkedIn Profiles Q4' and tell me how many rows it extracted."
"Start my Amazon Price Monitor crawler task now."
"Get the data extracted from task 'Real Estate NYC' and format it as a markdown table."
Troubleshooting Octoparse MCP Server with Mastra AI
Common issues when connecting Octoparse to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOctoparse + Mastra AI FAQ
Common questions about integrating Octoparse 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 Octoparse 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 Octoparse to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.