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Ranklytics

Ranklytics: No MCP yet

No verified MCP server as of 2026-08-14. Ranklytics relies on its dashboard UI for now.

NONE MCPPublic APILLMs: Claude Code, n8n
MCP status verified 2026-08-06Agent-readiness 2/10
Data from Buddy's database, auto-rechecked weekly

Does Ranklytics have an MCP server?

Ranklytics does not run an MCP server. The only agent path is the documented REST API at developers.ranklytics.ai.

The docs do publish an llms.txt, which helps an LLM understand the API, but that is documentation for the REST API rather than a Model Context Protocol server your client can connect to directly.

For the rest of the picture see the Ranklytics review or full pricing breakdown.

Which AI clients can use Ranklytics MCP?

Not every AI assistant supports MCP natively. Per-client picture for Ranklytics:

ClientSupportNotes
Claude CodeAPI-only (custom code)No MCP server; connect through the documented REST API with an API key (Agency plan).
n8nAPI-only (custom code)No native node or MCP; integrate via the REST API and the in-app CMS connectors.

Ranklytics also publishes a REST API

Ranklytics publishes an API, but per-tier gating wasn't extracted automatically.

API docs
—
Auth method
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SDK languages
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OpenAPI spec
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Webhooks
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Structured outputs
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See Ranklytics API page

Limits and gotchas

  • Fallback: the REST API works for any flow the MCP server doesn't cover.
  • No MCP available — until Ranklytics ships one, use the REST API directly.
2/10

Agent-readiness verdict

There is no MCP server. Agent access is through the REST API only (gated to the Agency plan), so on native agent connectivity Ranklytics scores low, even though the underlying API is real.

Scored by Joonas (TMB).

Ranklytics MCP & API FAQ

Does Ranklytics plan to add an MCP server?+
Not announced as of the last check. For now, no agent-friendly access is published.

Sources

Data verified by Joonas on the dates shown. MCP server status auto-rechecked weekly.

Joonas Rotko
Joonas RotkoAuthor & Founder of That Marketing Buddy

10+ years in digital marketing. I review marketing software for AI-stack fit: real pricing, MCP and API support, and how cleanly each tool drops into an AI agent workflow, cross-checked against verified data and real user feedback.

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