ParseHub MCP Server
Control advanced cloud scraping projects via ParseHub — list targets, dispatch headless runs, trace crawler status, and fetch extracted datasets directly via AI.
Vinkius AI Gateway supports streamable HTTP and SSE.

Works with every AI agent you already use
…and any MCP-compatible client


















ParseHub MCP Server: see your AI Agent in action
Built-in capabilities (10)
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
What this connector unlocks
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.
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_projectoptionally overriding starting URLs natively - Observability Tracing — Monitor exactly where a
Runobject is (queued, initialized, running, complete) without checking the desktop app - Payload Extraction — Pull down structured arrays containing the scraped payloads securely via
get_run_datamatching explicit datasets
How it works
1. Subscribe to this server
2. Enter your ParseHub API Key
3. Start orchestrating complex scraping runs natively from Claude, Cursor, or your MCP UI
Who is this for?
- Data Engineers — trigger cloud scraping logic securely and pipeline extracted datasets straight into processing tools natively
- Marketing Intel — fetch completed scrapers watching competitor pricing logic tracking JSON arrays automatically
- Research Analysts — kick off academic paper extractors via chat and digest the results upon completion
Frequently asked questions
Give your AI agents the power of ParseHub
Access ParseHub and 2,000+ MCP servers — ready for your agents to use, right now. No glue code. No custom integrations. Just plug Vinkius AI Gateway and let your agents work.
More in this category

Contentful
12 toolsEquip your AI agent to fetch, create, and manage digital content effortlessly using Contentful's headless architecture.

DatoCMS
10 toolsManage headless content via DatoCMS — execute GraphQL queries, handle record CRUD, manage content models, and audit media uploads directly from any AI agent.
Hygraph (Headless CMS)
10 toolsManage headless content via Hygraph — execute GraphQL queries, introspect schemas, and manage documents.
You might also like

Circle.so
8 toolsManage online communities via Circle — track members, monitor posts, and manage spaces directly from any AI agent.
Asaas
8 toolsManage payments, customers, and subscriptions with Asaas — the complete digital account for Brazilian businesses via AI.

Gerrit
10 toolsManage code reviews via Gerrit — query changes and patch sets, handle reviewers and approvals, and audit project branches directly from any AI agent.
