Xmlriver Mcp
Pull Google and Yandex SERP layouts and Yandex Wordstat keyword volumes from your agent while planning pages, ads, or content clusters.
Overview
XMLRiver MCP is a MCP server for the Launch phase that parses Google and Yandex SERPs and fetches Yandex Wordstat keyword frequencies through the XMLRiver API.
What is this MCP server?
- Parses Google SERP results through the XMLRiver XML API for agent-driven competitive SERP review
- Parses Yandex SERP results for RU/CIS launch and localization research
- Queries Yandex Wordstat for keyword frequency and demand signals
- Stdio MCP transport via PyPI package xmlriver-mcp (v0.1.8)
- Requires your own XMLRiver API credentials (paid XMLRiver account)
- Server version 0.1.8 on PyPI identifier xmlriver-mcp
- Stdio transport; integrates Google SERP, Yandex SERP, and Yandex Wordstat via XMLRiver
What problem does it solve?
Agents cannot see real SERPs or Yandex keyword volumes unless you paste screenshots or export CSVs from separate SEO tabs.
Who is it for?
Builders targeting Google and/or Yandex who already use XMLRiver and want SERP plus Wordstat pulls inside Claude Code or Cursor.
Skip if: Teams that need rank tracking, GSC-only workflows, or SEO without a XMLRiver subscription and API setup.
What do I get? / Deliverables
Your agent can request live SERP and Wordstat-style frequency data in-session so SEO and content decisions stay tied to current search results.
- Structured Google SERP parse output for chosen queries
- Structured Yandex SERP parse output
- Wordstat-oriented keyword frequency responses for agent-driven briefs
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Journey fit
SERP parsing and search demand data sit in the launch phase because they directly inform how a solo builder gets found in Google and Yandex—not in generic idea brainstorming. Keyword frequency and live SERP structure are core SEO inputs, so the canonical shelf is launch → seo rather than distribution or GEO tooling.
How it compares
XMLRiver API integration over MCP—not a bundled SEO playbook skill or a general web-scraping framework.
Common Questions / FAQ
Who is XMLRiver MCP for?
Solo builders and small teams doing SEO or content launch work on Google and Yandex who pay for XMLRiver and want those APIs callable from an MCP-enabled coding agent.
When should I use XMLRiver MCP?
Use it during launch planning when you need parsed SERPs for target queries, Yandex-specific results, or Wordstat frequency checks before writing or shipping pages.
How do I add XMLRiver MCP to my agent?
Install the xmlriver-mcp PyPI package (stdio transport), add the server to your MCP config with XMLRiver user/key env vars, restart the agent, and invoke the SERP or Wordstat tools from chat.