Do I need the ParseHub Desktop tool running to use this?

No. This integration operates completely natively via ParseHub's Cloud API endpoints. You only need the desktop app to build the templates originally. All executions mapped here happen on their cloud scaling servers.

Can I provide a different Start URL when running a project?

Yes. The `run_project_with_url` command allows you to explicitly provide a `start_url` query property. This instructs the ParseHub crawler to ignore its project-saved URL and begin parsing the newly mapped domain using the same semantic template.

Is the downloaded data returned in JSON or raw HTML?

The payload fetched by `get_run_data` is exported entirely as structured, pre-parsed JSON mirroring the exact template node selections defined in your project architecture.

ParseHub MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: ParseHub
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ParseHub as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="parsehub_agent",
    instruction=(
        "You help users interact with ParseHub "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 ParseHub MCP Server

Bring ParseHub Cloud Scraping directly into your AI workflows. Manage pre-configured web scraping targets natively and orchestrate complex headless browser automation directly from chat. Dispatch run jobs on command, query execution status limits, and extract final parsed payloads securely.

Google ADK natively supports ParseHub as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Project Navigation — Inspect and list configured ParseHub projects, determining start URLs, templates, and total crawler pages attached
Execution Dispatch — Command remote servers to trigger specific headless data extraction jobs run_project optionally overriding starting URLs natively
Observability Tracing — Monitor exactly where a Run object is (queued, initialized, running, complete) without checking the desktop app
Payload Extraction — Pull down structured arrays containing the scraped payloads securely via get_run_data matching explicit datasets

The ParseHub MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 ParseHub to Google ADK via MCP

Follow these steps to integrate the ParseHub MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from ParseHub via MCP

Why Use Google ADK with the ParseHub MCP Server

Google ADK provides unique advantages when paired with ParseHub through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ParseHub

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine ParseHub tools with BigQuery, Vertex AI, and Cloud Functions

ParseHub + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ParseHub MCP Server delivers measurable value.

Enterprise data agents: ADK agents query ParseHub and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine ParseHub tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query ParseHub regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ParseHub

ParseHub MCP Tools for Google ADK (10)

These 10 tools become available when you connect ParseHub to Google ADK via MCP:

cancel_run

If the run was already scraping pages, partial data may be available. Data from already-scraped pages is preserved and can be retrieved with get_run_data. Use this to stop long-running scrapes or free up queue slots. Cancel a queued or actively running ParseHub run

delete_run

Cannot be undone. Use this to clean up old runs and free up storage quota on your account. Permanently delete a ParseHub run and its extracted data

get_last_ready_data

Ideal for dashboards or integrations that always want the freshest available data without managing individual run tokens. Instantly get the latest completed data for a ParseHub project

get_project

The project_token can be found via list_projects or in the ParseHub desktop client settings tab. Get detailed configuration of a specific ParseHub project

get_run_data

Only works when the run status is "complete" and data_ready is true. The JSON structure mirrors the template selection configuration set up in the ParseHub desktop client. Download the raw JSON data extracted from a completed ParseHub run

get_run_details

Poll this endpoint to wait for a run to complete before fetching data. Check the status of a specific ParseHub run

list_projects

Each project includes a project_token (unique identifier), title, last_run timestamp, and template configuration. Use the project_token for all subsequent run management operations. List all ParseHub web scraping projects

list_runs

Useful for auditing or finding a specific completed run to fetch data from. Get the history of all runs for a ParseHub project

run_project

Returns a run_token for tracking progress. The run enters a queue and begins processing within seconds. Use get_run to monitor and get_run_data to retrieve results once complete. Start a new ParseHub scraping run for a project

run_project_with_url

Perfect for scraping different pages with the same template (e.g., different product categories). The template extraction rules still apply unchanged — only the starting page changes. Start a ParseHub run targeting a custom URL instead of the project default

Example Prompts for ParseHub in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with ParseHub immediately.

"Fetch the list of scrape projects I have on my ParseHub account."

"Start a new run for project 't9zx...' and check its status."

"Extract the finished data JSON payload from run ID 'run_k1l'."

Troubleshooting ParseHub MCP Server with Google ADK

Common issues when connecting ParseHub to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

ParseHub + Google ADK FAQ

Common questions about integrating ParseHub MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.