Launched this week
FireSEO MCP

FireSEO MCP

Connect Claude or Cursor to audit SEO and suggest changes

87 followers

Stop wrestling with dashboards. FireSEO connects Google Search Console directly to your AI editor (Claude, Cursor). Analyze rankings, spy on competitors, and fix SEO issues—all through natural language conversation. The first "Agentic SEO" workflow
FireSEO MCP gallery image
FireSEO MCP gallery image
Free Options
Launch tags:AnalyticsMarketingSEO
Launch Team / Built With
Flowstep
Flowstep
Generate real UI in seconds
Promoted

What do you think? …

hyungwoo park
Hey everyone! 👋 Harris here, maker of FireSEO. I've been building SaaS products for years, and SEO was always the bottleneck I hated switching context between my editor (Cursor) and SEO tools. With the rise of MCP (Model Context Protocol), I realized we could bridge this gap. FireSEO lets you pull real-time GSC data and SERP analysis directly into your chat context. Key features: ✅ Real-time GSC Audit: Diagnose traffic drops instantly. ✅ Keyword Gap Analysis: Find "Golden Keywords" you can rank for easily. ✅ Agentic Workflow: Let the agent suggest code fixes for SEO directly in your project. We have a generous Free Tier for Indie Hackers. Give it a spin and let me know if it saves you time! I'll be hanging out in the comments all day🚀
David Kaufman

So your target audience is founders? If yes, there might be a struggle even to come up with a right question, as SEO is very specific and requires some skills. There is a chance to stand out if you provide some guidance. Cheers!

hyungwoo park

@davidkaufmann  Great questions! For rate limits, we implement smart caching – GSC data refreshes daily (which aligns with how Google updates it anyway), and SERP data is cached per query with configurable TTL. The MCP server batches requests intelligently

so your agent isn't hammering APIs on every prompt.

For safety, FireSEO is designed to be advisory, not autonomous. It analyzes and suggests, but you review and approve

changes. Plus, it references your actual ranking data, so suggestions are grounded in what's working (or not) for YOUR site
– not generic SEO advice that might conflict with your existing strategy.

Daniele Packard

Very cool! How is this better than an SEO best practice cursor rule?

hyungwoo park

@daniele_packard Great question!

Cursor rules are essentially instruction-based guidance — they help the AI generate better answers, but those answers are not grounded in your real performance data. Even with a strong prompt, Cursor can only respond using its internal knowledge and general SEO best practices.

While Cursor may support limited web browsing, that information is still surface-level and disconnected from your actual metrics.

In contrast, our approach is data-driven. By connecting real sources through MCP — such as Google Search Console and Google Ads — the AI analyzes your actual search queries, impressions, CPC, competition, and performance trends.

So instead of saying “this keyword should work based on SEO theory,”

it can say “this keyword shows high commercial intent and low competition in your real data.”

Cursor understands SEO rules.

But it doesn’t know your data.

That’s the key difference — and that’s what allows us to find real monetization opportunities rather than just following patterns everyone already uses.

Viktor Shumylo

Congrats on the launch! Pulling real-time GSC and SERP data directly into the editor context makes a lot of sense, especially for reducing context switching. How do you keep the data fresh without running into GSC or SERP rate limits when agents are querying often, and how do you make sure the suggested SEO changes don’t accidentally do more harm than good?

hyungwoo park

@vik_sh  You’ve hit on something important — founders are a key audience for us.

Knowing what to ask is half the battle, which is exactly why we built guided workflows.

Instead of a blank prompt, FireSEO proactively surfaces issues like:

“These 5 pages dropped 20+ positions this week” or

“Your top page is missing FAQ schema.”

It turns SEO from “what should I even do?” into clear, prioritized actions.

Appreciate the feedback — we’re doubling down on this guidance aspect.

Darko Bačić

This looks great, will try it out since I'm in need for a big SEO overhaul and just prompting Cursor to do it blindly isn't the best way to go :D

hyungwoo park

@darko_bacic  Thank you so much! You're absolutely right – blindly prompting Cursor without real SEO data often leads to guesswork. FireSEO gives your AI the actual context it needs: your GSC performance data, real SERP rankings, and technical audits. Let me know how it goes, and feel free to reach out if you have any questions!

Stéphane Bounmy

congrats on the launch! mcp servers are becoming essential for dev workflows 🔥

Paul

Hey Harris,

I looked at your Product Hunt launch and there’s a familiar pattern in the hero that tends to underperform for AI-powered SEO tools: clear functionality (“connect GSC to AI”), but without a concise statement of whom it helps and what metric it moves right away.

That usually means early visitors understand what it does, but don’t convert because they can’t link it to an immediate business outcome like increased organic traffic or prioritized tasks that lead to measurable ranking gains.

I’ve seen this pattern with several data-driven SEO products, tightening the first fold around a targeted persona (e.g., founders/SEO teams) and a concrete result story often lifts demo signups and engagement without changing core capabilities.

I can walk you through what’s actually blocking clarity and what to change first. I do this as a paid, focused landing review.

Best,

Paul

12
Next
Last