Infatica Data Platform MCP

When to choose Infatica Data Platform MCP

Connect to Infatica Data Platform MCP

Choose a connection profile below and replace credential placeholders in your own MCP client. The transport describes the MCP connection.

{
  "mcpServers": {
    "infatica": {
      "url": "https://dataplatform.infatica.io/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_PERSONAL_ACCESS_TOKEN"
      }
    }
  }
}

Collect a batch and inspect it before export

A suggested sequence using the documented tools. Check the connected server's tool schema before making a call.

1. Define and create the collection

   Prepare the URLs, search queries or extraction tasks and create a bounded run. Start with a small representative input so you can assess the output before repeating the job.

   Tools: create_run

   Sources: Infatica Data Platform workflow documentation

2. Inspect completion

   Check the run status and item outcomes. A created job is not yet evidence that all requested data is ready.

   Tools: get_run

   Sources: Infatica MCP connection, scopes and tools, Infatica Data Platform workflow documentation

3. Export and review

   Export the completed results, retain their run identifier and compare the output with your task requirements before making the collection recurring.

   Tools: export_run

   Sources: Infatica Data Platform workflow documentation, Infatica MCP connection, scopes and tools

Selected tools & example tasks

• list_runs

  Read the account’s runs and apply documented filters.

  Example task: Find an existing collection job.

  Sources: Infatica MCP connection, scopes and tools
• create_run

  Start a data collection run; requires runs:write.

  Example task: Collect a specified set of URLs or search inputs.

  Sources: Infatica MCP connection, scopes and tools, Infatica Data Platform workflow documentation
• get_run

  Read a run and its item statuses.

  Example task: Inspect completion before exporting.

  Sources: Infatica MCP connection, scopes and tools
• export_run

  Export collected results in a supported file format.

  Example task: Move completed data into another workflow.

  Sources: Infatica MCP connection, scopes and tools
• compare_runs

  Create an analysis comparing collected runs; requires analyses:write.

  Example task: Review differences between collection jobs.

  Sources: Infatica MCP connection, scopes and tools
• create_schedule

  Create a recurring run schedule; requires schedules:write.

  Example task: Repeat an established collection task.

  Sources: Infatica MCP connection, scopes and tools
• get_usage_summary

  Read the account’s usage summary with daily detail.

  Example task: Review consumption after collection.

  Sources: Infatica MCP connection, scopes and tools

Troubleshoot the connection

Limits & undocumented behavior

• An Infatica account with Data Platform access and a Personal Access Token is required.
• Tool access depends on token scopes; schedule listing also requires schedules:write.
• Write tools can create billable runs or change schedules. Cancellation and deletion tools also exist in the upstream catalog.
• Documentation confirmed; no authenticated connection test was performed.

Sources & review history

This listing is documentation-confirmed. We reviewed the primary sources below; this is not a successful live connection test.

Record updated 2026-09-27. Review due 2026-10-27.

1. Infatica MCP connection, scopes and toolsChecked 2026-09-27 · Provider-owned hosted endpoint and Bearer PAT configuration.; Tool names, permission scopes, exports, schedules and troubleshooting.
2. Infatica Data Platform workflow documentationChecked 2026-09-27 · Runs accept URLs, search queries and extraction tasks.; Collection, progress monitoring and export workflow.
3. Infatica Data Platform access and pricingChecked 2026-09-27 · Platform access is included with eligible Web Scraper Pro plans.; Platform and API consume the same request quota.

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