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ParseHub MCP Server for Claude Code 10 tools — connect in under 2 minutes

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Claude Code is Anthropic's agentic CLI for terminal-first development. Add ParseHub as an MCP server in one command and Claude Code will discover every tool at runtime — ideal for automation pipelines, CI/CD integration, and headless workflows via the Vinkius.

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Classic Setup·bash
# Your Vinkius token — get it at cloud.vinkius.com
claude mcp add parsehub --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
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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.

Claude Code registers ParseHub as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly — ideal for CI/CD pipelines, cron jobs, and automated workflows where ParseHub data drives decisions without human intervention.

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 Claude Code 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 Claude Code via MCP

Follow these steps to integrate the ParseHub MCP Server with Claude Code.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using ParseHub

Ask Claude: "Using ParseHub, show me..."10 tools are ready

Why Use Claude Code with the ParseHub MCP Server

Claude Code provides unique advantages when paired with ParseHub through the Model Context Protocol.

01

Single-command setup: `claude mcp add` registers the server instantly — no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using ParseHub tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

ParseHub + Claude Code Use Cases

Practical scenarios where Claude Code combined with the ParseHub MCP Server delivers measurable value.

01

CI/CD integration: embed ParseHub tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query ParseHub nightly and generate reports without human intervention

03

Shell scripting: pipe ParseHub outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query ParseHub status endpoints and alert on anomalies

ParseHub MCP Tools for Claude Code (10)

These 10 tools become available when you connect ParseHub to Claude Code via MCP:

01

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

02

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

03

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

04

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

05

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

06

get_run_details

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

07

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

08

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

09

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

10

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 Claude Code

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

01

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

02

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

03

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

Troubleshooting ParseHub MCP Server with Claude Code

Common issues when connecting ParseHub to Claude Code through the Vinkius, and how to resolve them.

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

ParseHub + Claude Code FAQ

Common questions about integrating ParseHub MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect ParseHub to Claude Code

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.